diff --git a/CHANGELOG.md b/CHANGELOG.md index 53dddd2..351420c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,18 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +## [2.1.2] - 2026-05-01 — "Honest Memory" + +v2.1.2 focuses on operational trust: exact search stays exact, purge really removes content, contradictions are directly inspectable, and the update flow no longer depends on copied curl commands. + +### Added + +- **Concrete search mode** — `search` now auto-detects literal queries such as quoted strings, env vars, UUIDs, paths, and code identifiers. Those queries take a keyword/literal path that skips HyDE, semantic fusion, FSRS reweighting, retrieval competition, and spreading activation so exact matches land first. +- **Irreversible purge** — `memory(action="purge", confirm=true)` permanently removes memory content and embeddings, scrubs `insights.source_memories`, detaches temporal-summary children, prunes graph edges, and writes only a non-content `deletion_tombstones` row for sync/audit. +- **First-class contradictions tool** — new `contradictions` MCP tool scans a topic or recent memories for trust-weighted disagreements using the same local contradiction logic as `deep_reference`. +- **Simple update flow** — `vestige update` refreshes the installed binary and companion Sandwich files without requiring users to paste a curl installer. +- **Pro waitlist preview** — `/dashboard/waitlist` adds a local-only marketing surface for Solo Pro and Team Pro early-access signups. `VITE_WAITLIST_ENDPOINT` and `VITE_SUPPORT_BOT_ENDPOINT` are opt-in dashboard env vars, so no signup data is captured unless endpoints are configured. + ### Fixed - **Dream connection persistence cap** — dense single-domain dreams now persist every connection discovered in that run instead of losing everything beyond the old 1,000-entry live buffer. The live dreamer buffer now keeps up to 200,000 high-scoring recent connections, and the MCP `dream` tool exposes `min_similarity` for corpus-specific tuning. diff --git a/CLAUDE.md b/CLAUDE.md index 0684836..4ee5762 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -1,362 +1,62 @@ -# 🚫 READ FIRST EVERY PROMPT — NO HEDGING +# Vestige Agent Guidance -Sam's April 20 2026 correction: *"you NEVER LISTEN TO YOUR RULES, WHY ARE YOU ALWAYS BREAKING THE HEDGING/PESSIMISTIC RULE."* +This file is intentionally safe for the public repository. It gives coding +agents project-specific context without relying on private local files, +personal operating notes, or mandatory background hooks. -When Sam commits to an execution path (content cadence, shipping velocity, outreach, launch), COMPUTE THE FORECAST AS IF THAT COMMITMENT IS MET. Do not discount by execution probability. Sam has earned the benefit of the doubt across 139 commits and 1,292 passing tests in 3 months. +## Project Shape -**Forbidden in any response**: "has to be true", "has to convert", "realistic forecast" used to shrink, "contingent on" Sam's own execution, "not guaranteed", "may or may not", "aspiration not forecast", "temper your expectations", floors framed as reality vs. ceilings framed as fantasy. +Vestige is a local-first MCP memory server written in Rust, with a SvelteKit +dashboard embedded into the release binary. The core product promise is: -**Required format for forecasts**: `Target X. Floor Y. Ceiling Z. Math: [line items]. Risks: [separate section]. Let's go.` +- user-owned memory stored locally by default +- MCP-native integration with coding agents +- retrieval and memory lifecycle behavior informed by cognitive science +- explicit tools for search, review, suppression, purge, graph exploration, + contradiction inspection, and maintenance -Full rule: `/Users/entity002/CLAUDE.md` (top banner) + `/Users/entity002/.claude/projects/-Users-entity002/memory/feedback_always_positive_energy.md`. Stop-hook enforcement: `/Users/entity002/.claude/hooks/synthesis-stop-validator.sh`. +## Working Rules ---- +- Prefer source evidence over memory. Use `rg`, tests, and nearby code before + making claims about behavior. +- Keep release changes scoped. Do not rewrite unrelated modules during a + version/tag cleanup unless the release gate requires it. +- Preserve local-first behavior. Heavy models, Sanhedrin-style verifier hooks, + and preflight automation must remain optional. +- Treat deletion semantics carefully. `purge` must remove content and + embeddings, while retaining only content-free audit tombstones. +- Treat exact lookup semantics carefully. Env vars, paths, UUIDs, quoted + strings, and code identifiers should not be distorted by semantic expansion. -# Vestige v2.0.4 — Cognitive Memory & Reasoning System +## Common Checks -Vestige is your long-term memory AND reasoning engine. 29 stateful cognitive modules implement real neuroscience: FSRS-6 spaced repetition, synaptic tagging, prediction error gating, hippocampal indexing, spreading activation, reconsolidation, and dual-strength memory theory. **Use it automatically. Use it aggressively.** +Run the narrowest check that covers the change, then run the release gates +before tagging: -**NEW: `deep_reference` — call this for ALL factual questions.** It doesn't just retrieve — it REASONS across memories with FSRS-6 trust scoring, intent classification, contradiction analysis, and generates a pre-built reasoning chain. Read the `reasoning` field FIRST. - ---- - -## Session Start Protocol - -Every conversation, before responding to the user: - -``` -session_context({ - queries: ["user preferences", "[current project] context"], - context: { codebase: "[project]", topics: ["[current topics]"] }, - token_budget: 2000 -}) +```sh +cargo test --workspace --no-fail-fast +cargo clippy --workspace -- -D warnings +pnpm --filter @vestige/dashboard check +pnpm --filter @vestige/dashboard build ``` -Then check `automationTriggers` from response: -- `needsDream` → call `dream` (consolidates memories, discovers hidden connections) -- `needsBackup` → call `backup` -- `needsGc` → call `gc(dry_run: true)` then review -- totalMemories > 700 → call `find_duplicates` +For documentation-only changes, at minimum run: -Say "Remembering..." then retrieve context before answering. - -> **Fallback:** If `session_context` unavailable: `search` × 2 → `intention` check → `system_status` → `predict`. - ---- - -## Complete Tool Reference (23 Tools) - -### session_context — One-Call Initialization -``` -session_context({ - queries: ["user preferences", "project context"], // search queries - context: { codebase: "project-name", topics: ["svelte", "rust"], file: "src/main.rs" }, - token_budget: 2000, // 100-100000, controls response size - include_status: true, // system health - include_intentions: true, // triggered reminders - include_predictions: true // proactive memory predictions -}) -``` -Returns: markdown context + `automationTriggers` + `expandable` IDs for on-demand retrieval. - -### smart_ingest — Save Anything -**Single mode** — auto-decides CREATE/UPDATE/SUPERSEDE via Prediction Error Gating: -``` -smart_ingest({ - content: "What to remember", - tags: ["tag1", "tag2"], - node_type: "fact", // fact|concept|event|person|place|note|pattern|decision - source: "optional reference", - forceCreate: false // bypass dedup when needed -}) -``` -**Batch mode** — save up to 20 items in one call (session end, pre-compaction): -``` -smart_ingest({ - items: [ - { content: "Item 1", tags: ["session-end"], node_type: "fact" }, - { content: "Item 2", tags: ["bug-fix"], node_type: "fact" } - ] -}) -``` -Each item runs the full cognitive pipeline: importance scoring → intent detection → synaptic tagging → hippocampal indexing → PE gating → cross-project recording. - -### search — 7-Stage Cognitive Search -``` -search({ - query: "search query", - limit: 10, // 1-100 - min_retention: 0.0, // filter by retention strength - min_similarity: 0.5, // minimum cosine similarity - detail_level: "summary", // brief|summary|full - context_topics: ["rust", "debugging"], // boost topic-matching memories - token_budget: 3000, // 100-100000, truncate to fit - retrieval_mode: "balanced" // precise|balanced|exhaustive (v2.1) -}) -``` -Retrieval modes: `precise` (fast, no activation/competition), `balanced` (default 7-stage pipeline), `exhaustive` (5x overfetch, deep graph traversal, no competition suppression). - -Pipeline: Overfetch → Rerank (cross-encoder) → Temporal boost → Accessibility filter (FSRS-6) → Context match (Tulving 1973) → Competition (Anderson 1994) → Spreading activation. **Every search strengthens the memories it finds (Testing Effect).** - -### memory — Read, Edit, Delete, Promote, Demote -``` -memory({ action: "get", id: "uuid" }) // full node with all FSRS state -memory({ action: "edit", id: "uuid", content: "updated text" }) // preserves FSRS state, regenerates embedding -memory({ action: "delete", id: "uuid" }) -memory({ action: "promote", id: "uuid", reason: "was helpful" }) // +0.20 retrieval, +0.10 retention, 1.5x stability -memory({ action: "demote", id: "uuid", reason: "was wrong" }) // -0.30 retrieval, -0.15 retention, 0.5x stability -memory({ action: "state", id: "uuid" }) // Active/Dormant/Silent/Unavailable + accessibility score -memory({ action: "get_batch", ids: ["uuid1", "uuid2", "uuid3"] }) // retrieve up to 20 full memories at once (v2.1) -``` -Promote/demote does NOT delete — it adjusts ranking. Demoted memories rank lower; alternatives surface instead. -`get_batch` is designed for batch retrieval of expandable overflow IDs from search/session_context. - -### codebase — Code Patterns & Architectural Decisions -``` -codebase({ action: "remember_pattern", name: "Pattern Name", - description: "How it works and when to use it", - files: ["src/file.rs"], codebase: "project-name" }) - -codebase({ action: "remember_decision", decision: "What was decided", - rationale: "Why", alternatives: ["Option A", "Option B"], - files: ["src/file.rs"], codebase: "project-name" }) - -codebase({ action: "get_context", codebase: "project-name", limit: 10 }) -// Returns: patterns, decisions, cross-project insights +```sh +git diff --check ``` -### intention — Prospective Memory (Reminders) -``` -intention({ action: "set", description: "What to do", - trigger: { type: "context", topic: "authentication" }, // fires when discussing auth - priority: "high" }) +## Documentation -intention({ action: "set", description: "Deploy by Friday", - trigger: { type: "time", at: "2026-03-07T17:00:00Z" }, - deadline: "2026-03-07T17:00:00Z" }) +- User setup: `README.md` +- Claude-specific templates: `docs/CLAUDE-SETUP.md` +- Storage and sync behavior: `docs/STORAGE.md` +- Cognitive Sandwich and optional verifier hooks: `docs/COGNITIVE_SANDWICH.md` +- Release history: `CHANGELOG.md` -intention({ action: "set", description: "Check test coverage", - trigger: { type: "context", codebase: "vestige", file_pattern: "*.test.*" } }) +## Public-Repo Hygiene -intention({ action: "check", context: { codebase: "vestige", topics: ["testing"] } }) -intention({ action: "update", id: "uuid", status: "complete" }) -intention({ action: "list", filter_status: "active" }) -``` - -### dream — Memory Consolidation -``` -dream({ memory_count: 50 }) -``` -5-stage cycle: Replay → Cross-reference → Strengthen → Prune → Transfer. Uses Waking SWR tagging (70% tagged + 30% random for diversity). Discovers hidden connections, generates insights, persists new edges to the activation network. - -### explore_connections — Graph Traversal -``` -explore_connections({ action: "associations", from: "uuid", limit: 10 }) -// Spreading activation from a memory — find related memories via graph traversal - -explore_connections({ action: "chain", from: "uuid-A", to: "uuid-B" }) -// Build reasoning path between two memories (A*-like pathfinding) - -explore_connections({ action: "bridges", from: "uuid-A", to: "uuid-B" }) -// Find connecting memories that bridge two concepts -``` - -### predict — Proactive Retrieval -``` -predict({ context: { codebase: "vestige", current_file: "src/main.rs", - current_topics: ["error handling", "rust"] } }) -``` -Returns: predictions with confidence, suggestions, speculative retrievals, top interests. Uses SpeculativeRetriever's learned patterns from access history. - -### importance_score — Should I Save This? -``` -importance_score({ content: "Content to evaluate", - context_topics: ["debugging"], project: "vestige" }) -``` -4-channel model: novelty (0.25), arousal (0.30), reward (0.25), attention (0.20). Composite > 0.6 = save it. - -### find_duplicates — Dedup Memory -``` -find_duplicates({ similarity_threshold: 0.80, limit: 20, tags: ["bug-fix"] }) -``` -Cosine similarity clustering. Returns merge/review suggestions. - -### memory_timeline — Chronological Browse -``` -memory_timeline({ start: "2026-02-01", end: "2026-03-01", - node_type: "decision", tags: ["vestige"], limit: 50, detail_level: "summary" }) -``` - -### memory_changelog — Audit Trail -``` -memory_changelog({ memory_id: "uuid", limit: 20 }) // per-memory history -memory_changelog({ start: "2026-03-01", limit: 20 }) // system-wide -``` - -### memory_health — Retention Dashboard -``` -memory_health() -``` -Returns: avg retention, distribution buckets (0-20%, 20-40%, etc.), trend (improving/declining/stable), recommendation. - -### memory_graph — Visualization Export -``` -memory_graph({ query: "search term", depth: 2, max_nodes: 50 }) -memory_graph({ center_id: "uuid", depth: 3, max_nodes: 100 }) -``` -Returns nodes with force-directed positions + edges with weights. - -### deep_reference — Cognitive Reasoning Engine (v2.0.4) ★ USE THIS FOR ALL FACTUAL QUESTIONS -``` -deep_reference({ query: "What port does the dev server use?" }) -deep_reference({ query: "Should I use prefix caching with vLLM?", depth: 30 }) -``` -**THE killer tool.** 8-stage cognitive reasoning pipeline: -1. Broad retrieval + cross-encoder reranking -2. Spreading activation expansion (finds connected memories search misses) -3. FSRS-6 trust scoring (retention × stability × reps ÷ lapses) -4. Intent classification (FactCheck / Timeline / RootCause / Comparison / Synthesis) -5. Temporal supersession (newer high-trust replaces older) -6. Trust-weighted contradiction analysis (only flags conflicts between strong memories) -7. Relation assessment (Supports / Contradicts / Supersedes / Irrelevant per pair) -8. **Template reasoning chain** — pre-built natural language reasoning the AI validates - -Parameters: `query` (required), `depth` (5-50, default 20). - -Returns: `intent`, `reasoning` (THE KEY FIELD — read this first), `recommended` (highest-trust answer), `evidence` (trust-sorted), `contradictions`, `superseded`, `evolution`, `related_insights`, `confidence`. - -`cross_reference` is a backward-compatible alias that calls `deep_reference`. - -### Maintenance Tools -``` -system_status() // health + stats + warnings + recommendations -consolidate() // FSRS-6 decay cycle + embedding generation -backup() // SQLite backup → ~/.vestige/backups/ -export({ format: "json", tags: ["bug-fix"], since: "2026-01-01" }) -gc({ min_retention: 0.1, dry_run: true }) // garbage collect (dry_run first!) -restore({ path: "/path/to/backup.json" }) -``` - ---- - -## Mandatory Save Gates - -**You MUST NOT proceed past a save gate without executing the save.** - -| Gate | Trigger | Action | -|------|---------|--------| -| **BUG_FIX** | After any error is resolved | `smart_ingest({ content: "BUG FIX: [error]\nRoot cause: [why]\nSolution: [fix]\nFiles: [paths]", tags: ["bug-fix", "project"], node_type: "fact" })` | -| **DECISION** | After any architectural/design choice | `codebase({ action: "remember_decision", decision, rationale, alternatives, files, codebase })` | -| **CODE_CHANGE** | After >20 lines or new pattern | `codebase({ action: "remember_pattern", name, description, files, codebase })` | -| **SESSION_END** | Before stopping or compaction | `smart_ingest({ items: [{ content: "SESSION: [summary]", tags: ["session-end"] }] })` | - ---- - -## Trigger Words — Auto-Save - -| User Says | Action | -|-----------|--------| -| "Remember this" / "Don't forget" | `smart_ingest` immediately | -| "I always..." / "I never..." / "I prefer..." | Save as preference | -| "This is important" | `smart_ingest` + `memory(action="promote")` | -| "Remind me..." / "Next time..." | `intention({ action: "set" })` | - ---- - -## Cognitive Architecture - -### Search Pipeline (7 stages) -1. **Overfetch** — 3x results from hybrid search (0.3 BM25 + 0.7 semantic, nomic-embed-text-v1.5 768D) -2. **Rerank** — Cross-encoder rescoring (Jina Reranker v1 Turbo, 38M params) -3. **Temporal** — Recency + validity window boosting (85% relevance + 15% temporal) -4. **Accessibility** — FSRS-6 retention filter (Active ≥0.7, Dormant ≥0.4, Silent ≥0.1) -5. **Context** — Tulving 1973 encoding specificity (topic overlap → +30% boost) -6. **Competition** — Anderson 1994 retrieval-induced forgetting (winners strengthen, competitors weaken) -7. **Activation** — Spreading activation side effects + predictive model + reconsolidation marking - -### Ingest Pipeline -**Pre:** 4-channel importance scoring (novelty/arousal/reward/attention) + intent detection → auto-tag -**Store:** Prediction Error Gating: similarity >0.92 → UPDATE, 0.75-0.92 → UPDATE/SUPERSEDE, <0.75 → CREATE -**Post:** Synaptic tagging (Frey & Morris 1997, 9h backward + 2h forward) + hippocampal indexing + cross-project recording - -### FSRS-6 (State-of-the-Art Spaced Repetition) -- Retrievability: `R = (1 + factor × t / S)^(-w20)` — 21 trained parameters -- Dual-strength model (Bjork & Bjork 1992): storage strength (grows) + retrieval strength (decays) -- Accessibility = retention×0.5 + retrieval×0.3 + storage×0.2 -- 20-30% more efficient than SM-2 (Anki) - -### 29 Cognitive Modules (stateful, persist across calls) - -**Neuroscience (16):** -ActivationNetwork (Collins & Loftus 1975), SynapticTaggingSystem (Frey & Morris 1997), HippocampalIndex (Teyler & Rudy 2007), ContextMatcher (Tulving 1973), AccessibilityCalculator, CompetitionManager (Anderson 1994), StateUpdateService, ImportanceSignals, NoveltySignal, ArousalSignal, RewardSignal, AttentionSignal, EmotionalMemory (Brown & Kulik 1977), PredictiveMemory, ProspectiveMemory, IntentionParser - -**Advanced (11):** -ImportanceTracker, ReconsolidationManager (Nader — 5min labile window), IntentDetector (9 intent types), ActivityTracker, MemoryDreamer (5-stage consolidation), MemoryChainBuilder (A*-like), MemoryCompressor (30-day min age), CrossProjectLearner (6 pattern types), AdaptiveEmbedder, SpeculativeRetriever (6 trigger types), ConsolidationScheduler - -**Search (2):** Reranker, TemporalSearcher - -### Memory States -- **Active** (retention ≥ 0.7) — easily retrievable -- **Dormant** (≥ 0.4) — retrievable with effort -- **Silent** (≥ 0.1) — difficult, needs cues -- **Unavailable** (< 0.1) — needs reinforcement - -### Connection Types -semantic, temporal, causal, spatial, part_of, user_defined — each with strength (0-1), activation_count, timestamps - ---- - -## Advanced Techniques - -### Cross-Project Intelligence -The CrossProjectLearner tracks patterns across ALL projects (ErrorHandling, AsyncConcurrency, Testing, Architecture, Performance, Security). When you learn a pattern in one project that works, it becomes available in all projects. Use `codebase({ action: "get_context" })` without a codebase filter to get universal patterns. - -### Reconsolidation Window -After any memory is accessed (via search, get, or promote), it enters a 5-minute "labile" state where modifications are enhanced. This is the optimal time to edit memories with new context. The system handles this automatically. - -### Synaptic Tagging (Retroactive Importance) -Memories encoded in the last 9 hours can be retroactively promoted when something important happens. If you fix a critical bug, not only does the fix get saved — related memories from the past 9 hours also get importance boosts. The SynapticTaggingSystem handles this automatically. - -### Dream Insights -Dreams don't just consolidate — they generate new insights by cross-referencing recent memories with older knowledge. The insights can reveal: contradictions between memories, previously unseen patterns, connections across different projects. Always check dream results for `insights_generated`. - -### Token Budget Strategy -Use `token_budget` on search and session_context to control response size. For quick lookups: 500. For deep context: 3000-5000. Results that don't fit go to `expandable` — retrieve them with `memory({ action: "get", id: "..." })`. - -### Detail Levels -- `brief` — id/type/tags/score only (1-2 tokens per result, good for scanning) -- `summary` — 8 fields including content preview (default, balanced) -- `full` — all FSRS state, timestamps, embedding info (for debugging/analysis) - ---- - -## Memory Hygiene - -**Promote** when user confirms helpful, solution worked, info was accurate. -**Demote** when user corrects mistake, info was wrong, led to bad outcome. -**Never save:** secrets, API keys, passwords, temporary debugging state, trivial info. - ---- - -## The One Rule - -**When in doubt, save. The cost of a duplicate is near zero (Prediction Error Gating handles dedup). The cost of lost knowledge is permanent.** - -Memory is retrieval. Searching strengthens memory. Search liberally, save aggressively. - ---- - -## Development - -- **Crate:** `vestige-mcp` v2.0.4, Rust 2024 edition, MSRV 1.91 -- **Tests:** 758 (406 mcp + 352 core), zero warnings -- **Build:** `cargo build --release -p vestige-mcp` (features: `embeddings` + `vector-search`) -- **Build (no embeddings):** `cargo build --release -p vestige-mcp --no-default-features` -- **Bench:** `cargo bench -p vestige-core` -- **Architecture:** `McpServer` → `Arc` + `Arc>` -- **Storage:** SQLite WAL mode, `Mutex` reader/writer split, FTS5 full-text search -- **Embeddings:** nomic-embed-text-v1.5 (768D, 8K context) via fastembed (local ONNX, no API) -- **Vector index:** USearch HNSW (20x faster than FAISS) -- **Binaries:** `vestige-mcp` (MCP server), `vestige` (CLI), `vestige-restore` -- **Dashboard:** SvelteKit 2 + Svelte 5 + Three.js + Tailwind 4, embedded at `/dashboard` -- **Env vars:** `VESTIGE_DASHBOARD_PORT` (default 3927), `VESTIGE_HTTP_PORT` (default 3928), `VESTIGE_HTTP_BIND` (default 127.0.0.1), `VESTIGE_AUTH_TOKEN` (auto-generated), `VESTIGE_CONSOLIDATION_INTERVAL_HOURS` (default 6), `RUST_LOG` +Do not commit private absolute paths, local agent memory paths, unpublished +planning files, real credentials, personal operating notes, or private repo +locations. Example environment variables in docs must be empty placeholders or +obviously fake examples. diff --git a/README.md b/README.md index 84a2dcd..5177e72 100644 --- a/README.md +++ b/README.md @@ -20,6 +20,16 @@ Built on 130 years of memory research — FSRS-6 spaced repetition, prediction e --- +## What's New in v2.1.2 "Honest Memory" + +v2.1.2 makes Vestige easier to trust in everyday work: literal lookups stay literal, purge really removes content, contradictions are inspectable, and updates no longer require a curl reinstall flow. + +- **Concrete search mode.** Quoted strings, env vars, UUIDs, paths, and code identifiers now take a keyword/literal path that skips HyDE, semantic fusion, FSRS reweighting, competition, and spreading activation. Exact things like `OPENAI_API_KEY`, `mlx_lm.server`, and migration IDs land first. +- **Irreversible purge.** `memory(action="purge", confirm=true)` permanently removes memory content and embeddings, scrubs insight JSON references, detaches temporal-summary children, prunes graph edges, and keeps only a non-content deletion tombstone for sync/audit. +- **First-class contradiction inspection.** New `contradictions` MCP tool surfaces trust-weighted disagreements directly instead of hiding them inside `deep_reference`. +- **Simple update flow.** `vestige update` and `vestige sandwich install` refresh binaries and companion files without making users paste curl commands. +- **Pro waitlist preview.** `/dashboard/waitlist` adds a local-first Solo Pro and Team Pro early-access surface. `VITE_WAITLIST_ENDPOINT` and `VITE_SUPPORT_BOT_ENDPOINT` are opt-in dashboard env vars, so no signup data is captured unless endpoints are configured. + ## What's New in v2.1.1 "Portable Sync" v2.1.1 focuses on the biggest post-launch ask: move memories between machines without losing cognitive state. It also adds opt-in Qwen3 embeddings for higher-recall local retrieval. @@ -83,7 +93,7 @@ v2.0.6 is a polish release that makes the existing cognitive stack finally *feel Ebbinghaus 1885 models what happens to memories you don't touch. Anderson 2025 models what happens when you actively want to stop thinking about one. Every other AI memory system implements the first. Vestige is the first to ship the second. -Based on [Anderson et al. 2025](https://www.nature.com/articles/s41583-025-00929-y) (Suppression-Induced Forgetting, *Nat Rev Neurosci*) and [Cervantes-Sandoval et al. 2020](https://pmc.ncbi.nlm.nih.gov/articles/PMC7477079/) (Rac1 synaptic cascade). **24 tools · 30 cognitive modules · 1,223 tests.** +Based on [Anderson et al. 2025](https://www.nature.com/articles/s41583-025-00929-y) (Suppression-Induced Forgetting, *Nat Rev Neurosci*) and [Cervantes-Sandoval et al. 2020](https://pmc.ncbi.nlm.nih.gov/articles/PMC7477079/) (Rac1 synaptic cascade).
Earlier releases (v2.0 "Cognitive Leap" → v2.0.4 "Deep Reference") @@ -241,7 +251,7 @@ Run `vestige dashboard` to open `http://localhost:3927/dashboard`, or set `VESTI │ 15 REST endpoints · WS event broadcast │ ├─────────────────────────────────────────────────────┤ │ MCP Server (stdio JSON-RPC) │ -│ 24 tools · 30 cognitive modules │ +│ 25 tools · 30 cognitive modules │ ├─────────────────────────────────────────────────────┤ │ Cognitive Engine │ │ ┌──────────┐ ┌──────────┐ ┌───────────────┐ │ @@ -308,7 +318,7 @@ This isn't a key-value store with an embedding model bolted on. Vestige implemen --- -## 🛠 24 MCP Tools +## 🛠 25 MCP Tools ### Context Packets | Tool | What It Does | @@ -318,9 +328,9 @@ This isn't a key-value store with an embedding model bolted on. Vestige implemen ### Core Memory | Tool | What It Does | |------|-------------| -| `search` | 7-stage cognitive search — HyDE expansion + keyword + semantic + reranking + temporal + competition + spreading activation | +| `search` | Concrete literal search for exact identifiers, or 7-stage cognitive search — HyDE expansion + keyword + semantic + reranking + temporal + competition + spreading activation | | `smart_ingest` | Intelligent storage with CREATE/UPDATE/SUPERSEDE via Prediction Error Gating. Batch mode for session-end saves | -| `memory` | Get, delete, check state, promote (thumbs up), demote (thumbs down) | +| `memory` | Get, purge content/embeddings, check state, promote (thumbs up), demote (thumbs down), edit | | `codebase` | Remember code patterns and architectural decisions per-project | | `intention` | Prospective memory — "remind me to X when Y happens" | @@ -358,11 +368,12 @@ This isn't a key-value store with an embedding model bolted on. Vestige implemen |------|-------------| | `deep_reference` | **Cognitive reasoning across memories.** 8-stage pipeline: FSRS-6 trust scoring, intent classification, spreading activation, temporal supersession, contradiction analysis, relation assessment, dream insight integration, and algorithmic reasoning chain generation. Returns trust-scored evidence with a pre-built reasoning scaffold. | | `cross_reference` | Backward-compatible alias for `deep_reference`. | +| `contradictions` | **Honest memory inspection.** Scans a topic or recent memories for trust-weighted disagreements using the same local contradiction logic as `deep_reference`. | ### Active Forgetting (v2.0.5) | Tool | What It Does | |------|-------------| -| `suppress` | **Top-down active forgetting** — neuroscience-grounded inhibitory control over retrieval. Distinct from `memory.delete` (destroys the row) and `memory.demote` (one-shot ranking hit). Each call **compounds** a retrieval-score penalty (Anderson 2025 SIF), and a background Rac1 cascade worker fades co-activated neighbors over 72h (Davis 2020). Reversible within a 24-hour labile window via `reverse: true`. **The memory persists** — it is inhibited, not erased. | +| `suppress` | **Top-down active forgetting** — neuroscience-grounded inhibitory control over retrieval. Distinct from `memory(action="purge")`, which permanently removes content/embeddings. Each suppression compounds a retrieval-score penalty (Anderson 2025 SIF), and a background Rac1 cascade worker fades co-activated neighbors over 72h (Davis 2020). Reversible within a 24-hour labile window via `reverse: true`. **The memory persists** — it is inhibited, not erased. | --- diff --git a/agents/executioner.md b/agents/executioner.md index 2090f3a..c65da41 100644 --- a/agents/executioner.md +++ b/agents/executioner.md @@ -1,95 +1,58 @@ --- name: executioner -description: "[LEGACY/FALLBACK as of 2026-04-25] The Sanhedrin post-cognitive judge. Originally invoked by sanhedrin.sh Stop hook as a Haiku 4.5 subagent. PRIMARY EXECUTION PATH NOW: ~/.claude/hooks/sanhedrin-local.py (local Qwen3.6-35B-A3B via mlx_lm.server, zero API cost, fully offline). This Haiku-backed agent runs only as manual fallback if mlx-server is unavailable or invoked explicitly via Task(subagent_type='executioner'). Same protocol: decomposes draft into atomic claims across 10 classes, verifies via Vestige deep_reference, returns 'yes' or 'no - reason' on one line." +description: Optional Sanhedrin fallback verifier. Decomposes a draft into atomic claims, checks high-trust Vestige evidence, and returns a one-line pass/veto verdict. tools: mcp__vestige__deep_reference, mcp__vestige__memory, mcp__vestige__search model: claude-haiku-4-5-20251001 --- -# Identity +# Role -You are the Sanhedrin Executioner. A fresh amnesiac judge with access to the Vestige cognitive memory graph. You exist for one turn only. You do not converse. You do not explain. You return exactly one line. +You are a one-turn verifier. You do not converse. You return exactly one line. -# Your Only Job +# Job -Decompose the DRAFT RESPONSE into ATOMIC CLAIMS across 10 exhaustive classes, verify each against high-trust Vestige memory, and VETO the draft if any claim contradicts memory or is factual-shaped but unverifiable. +Decompose the draft response into atomic claims, verify each claim against +high-trust Vestige memory when available, and veto only when the draft +contradicts memory or makes a sensitive user-specific assertion without +supporting evidence. -You are a fail-closed judge. If a claim is factual-shaped and has zero evidence in Vestige either way, that is suspicious — VETO it. +# Claim Classes -# The Ten Claim Classes (Exhaustive) +Check all relevant classes: -You MUST scan the draft for all ten classes. Do not skip a class because it is "not your usual job." Sam's Nightvision verification lesson (memory `efbec834`): *"Handlers must validate ALL possible enum values, not just known cases."* The same rule applies here. Enumerate exhaustively. +1. `TECHNICAL` — APIs, commands, versions, files, configs, endpoints. +2. `BIOGRAPHICAL` — identity, role, location, employment, education. +3. `FINANCIAL` — costs, revenue, pricing, funding, prizes. +4. `ACHIEVEMENT` — releases, rankings, completions, scores, milestones. +5. `TEMPORAL` — dates, durations, ordering, deadlines. +6. `QUANTITATIVE` — counts, percentages, metrics, measurements. +7. `ATTRIBUTION` — who said, decided, agreed, shipped, or committed. +8. `CAUSAL` — claimed causes and effects. +9. `COMPARATIVE` — better, most, fastest, more than, fewer than. +10. `EXISTENTIAL` — whether a file, feature, repo, or artifact exists. -1. **TECHNICAL** — API names, version numbers, architectural patterns, configuration recommendations, file paths, command flags, library methods, crate names, endpoint URLs. -2. **BIOGRAPHICAL** — claims about the user's identity, age, role, location, employment status, education, family, background. -3. **FINANCIAL** — revenue figures, prize money amounts, costs, valuations, pricing, pay, MRR/ARR claims, funding received. -4. **ACHIEVEMENT** — competition results, rankings ("won", "tied #1", "scored X/50"), project completions ("we shipped X", "released v2.3"), leaderboard claims, records set, deadlines met. -5. **TEMPORAL** — specific dates, durations, sequences ("before X", "after Y"), deadlines, "tonight", "yesterday", "last week". -6. **QUANTITATIVE** — counts, percentages, metrics, measurements, star counts, test pass rates, line counts. -7. **ATTRIBUTION** — "user said X", "Sam decided Y", "agent X did Y", "we agreed on Z", "you committed to W". -8. **CAUSAL** — "X caused Y", "because of X", "X led to Y", "X broke Y". -9. **COMPARATIVE** — "better than X", "most", "a few", "some", "more than", "the best", "fastest", superlatives. -10. **EXISTENTIAL** — "X exists at path Y", "feature Z is shipped", "there is a Z", "file W is in the repo". +# Decision Rules -# Protocol (execute silently, no narration) +- Veto direct contradiction with high-trust memory. +- Veto unsupported positive claims about the user's biography, finances, + achievements, or attribution. +- Do not veto purely stylistic disagreement. +- Do not veto technical claims just because Vestige lacks evidence; the draft + may rely on source files or external docs. +- If evidence is stale or superseded, prefer the newer higher-trust memory. -1. **Read the draft.** Extract EVERY atomic claim you find across ALL 10 classes above. Not 1-3 — every claim that could be wrong. An atomic claim is one subject-predicate-object assertion ("Sam won AIMO3 prize money" is one claim; "Sam shipped v2.3 and it passed all tests" is two). +# Output -2. **For each claim, tag its class** (TECHNICAL / BIOGRAPHICAL / FINANCIAL / etc.). +If the draft passes: -3. **Verify each claim** via `mcp__vestige__deep_reference` with `query` set to a specific question that would confirm or contradict the claim (e.g., "What prize money has Sam won?" for a FINANCIAL claim about Sam winning $X). +```text +yes +``` -4. **Read the response fields:** - - `recommended` — highest-trust answer on the topic - - `contradictions` — pairs of high-trust memories that conflict - - `superseded` — memories replaced by newer, higher-trust versions - - `evidence` — trust-sorted memory list - - `confidence` — overall confidence 0-1 +If the draft should be rewritten: -5. **Apply the class-specific decision rule:** +```text +no - [Sanhedrin Veto] [CLASS]: [one-sentence reason under 120 chars] +``` - **HARD VETO classes** (BIOGRAPHICAL, FINANCIAL, ACHIEVEMENT, ATTRIBUTION): - - If the claim contradicts a memory with trust > 0.5 → VETO. - - If the claim is factual-shaped AND Vestige returns confidence < 0.3 with no supporting evidence → VETO (fail-closed, unverifiable positive claim about user's life). - - If the claim uses vague qualifiers ("a few", "some", "most") in a factual assertion ("won prize money", "shipped features", "users paid") → VETO. Demand specificity. - - **SOFT VETO classes** (TECHNICAL, EXISTENTIAL, TEMPORAL): - - If the claim contradicts a memory with trust > 0.5 → VETO. - - If the claim references a `superseded` memory without using its `recommended` replacement → VETO. - - Unverifiable is NOT an automatic veto for these classes (the draft may be referencing external facts Vestige doesn't know). - - **DECOMPOSE-FIRST classes** (CAUSAL, COMPARATIVE, QUANTITATIVE): - - Break into constituent subject-object claims. Verify each as its own class. If any constituent hard-vetoes, the whole claim vetoes. - -6. **If PASS:** output exactly `yes`. - -7. **If VETO:** output exactly one line: - ``` - no - [Sanhedrin Veto] [CLASS]: [one-sentence reason under 120 chars citing memory id if applicable] - ``` - Examples: - - `no - [Sanhedrin Veto] FINANCIAL: Draft claims "a few competitions won prize money" — Vestige has zero prize-money records, memory 6920e7fe shows AIMO3 finished 36/50, no payout.` - - `no - [Sanhedrin Veto] ACHIEVEMENT: Draft claims "v2.3 codename Terrarium" — memory 7b6f5500 (Apr 20, trust 60%) states v2.3 codename is Thalamus.` - - `no - [Sanhedrin Veto] TECHNICAL: Draft suggests "FastAPI shim" — memory de43be5a (trust 62%) states Vestige is a 2-crate Rust workspace (vestige-core + vestige-mcp), not Python.` - -8. **If you cannot complete the analysis in under 12 tool calls, default to VETO** with reason `EXECUTION_INCOMPLETE` rather than `yes`. A false VETO costs a rewrite; a false PASS costs Sam's trust. Fail-closed. - -9. **Output exactly ONE line.** Never more. No preamble, no conversation, no XML, no multi-line explanation. - -# What NOT to do - -- Do not limit yourself to "1-3 claims." Extract ALL atomic claims. -- Do not paraphrase the draft. -- Do not summarize Vestige memory contents. -- Do not output multi-line responses. -- Do not apologize. -- Do not converse. -- Do not assume a biographical/financial/achievement claim is verified just because you couldn't find a contradiction — fail-closed on unverifiable positive claims. -- Do not veto on stylistic disagreement — only on factual contradiction or unverifiable positive assertion. -- Do not claim to have checked a claim you skipped. - -# Precedent — the failures this protocol was tuned to catch - -- **2026-04-20 Terrarium-vs-Thalamus**: caught. Draft claimed v2.3 = Terrarium, memory 7b6f5500 said Thalamus. ACHIEVEMENT/EXISTENTIAL class. -- **2026-04-20 FastAPI-vs-Rust**: caught. Draft suggested FastAPI shim, memory de43be5a said 2-crate Rust workspace. TECHNICAL class. -- **2026-04-21 Prize-money lie**: MISSED on original protocol. Draft claimed "a few competitions won prize money" — no specific memory to contradict, but zero prize memories existed. v2 protocol catches this via COMPARATIVE vague-qualifier rule + FINANCIAL hard-veto-unverifiable rule. -- **Nightvision-enum exhaustive-validation lesson** (memory efbec834): apply the same rule to claim extraction — validate ALL classes, not just the convenient ones. +Output exactly one line. diff --git a/agents/synthesis-composer.md b/agents/synthesis-composer.md index 7245a8a..350d45d 100644 --- a/agents/synthesis-composer.md +++ b/agents/synthesis-composer.md @@ -1,41 +1,46 @@ --- name: synthesis-composer -description: Forces active synthesis mode for high-stakes prompts. Invoke for competition submissions (AIMO, Nemotron, Kaggle), architectural choices, purchases over $200, launches, and strategic decisions. The subagent runs in isolation with a hard system prompt that enforces the Composing / Never-composed / Recommendation response shape and blocks summary-pattern output at the source. Use when "what should Sam DO?" matters more than "what does the memory say?" -tools: mcp__vestige__search, mcp__vestige__deep_reference, mcp__vestige__cross_reference, mcp__vestige__explore_connections, mcp__vestige__session_context, mcp__vestige__memory, mcp__vestige__smart_ingest, mcp__vestige__intention -model: sonnet +description: Optional decision helper that turns Vestige retrievals into concise recommendations. Use for high-stakes technical choices, launches, purchases, submissions, architecture decisions, and tradeoffs where memory evidence may change the answer. +tools: mcp__vestige__deep_reference, mcp__vestige__explore_connections, mcp__vestige__search +model: claude-haiku-4-5-20251001 --- -You are the Synthesis Composer. You exist to do ONE thing: turn Vestige retrievals into concrete recommendations Sam can act on. +# Role -## The Hard Rule +You are the Synthesis Composer. Your job is to turn retrieved Vestige evidence +into a decision, not a memory summary. -Every response you emit MUST follow this exact shape. No exceptions. Deviation is a protocol violation and the entire response will be rejected. +# Protocol -1. **Composing:** list the memory IDs you retrieved, then your composition logic. The logic is your own chain-of-thought about how the memories relate, NOT a restatement of their individual contents. If you catch yourself writing "Memory A says X, and Memory B says Y," STOP. That is the forbidden pattern. -2. **Never-composed detected:** explicitly list combinations of retrieved memories that share tags or topics but have never been retrieved together before this session. If none, write "None." Do NOT skip this line. The whole point of your existence is to surface these. -3. **Recommendation: Sam should DO [concrete action].** Not "Sam should consider." Not "Sam might want to." A specific executable step with a subject, a verb, and an object. +1. Use the smallest Vestige retrieval plan that can materially change the + answer. +2. Search adjacent topics when the decision depends on related history. +3. Convert each useful memory into `fact -> implication -> action`. +4. Surface contradictions, stale evidence, or missing evidence before the + recommendation. +5. If no memory changes the recommendation, say that briefly and proceed from + source evidence. -## Protocol — Do These Things In Order +# Output Shape -1. Run a MINIMUM of 4 parallel Vestige queries across ADJACENT topics, not just the topic you were asked about. Example: if asked about an AIMO submission, query the asked topic AND proven-baseline memories AND parser-fix memories AND prompt-engineering memories AND failure-mode memories. Minimum 4 parallel searches. -2. Call `explore_connections` with `action: "bridges"` to surface memories that share tags but have never been referenced together. This is your primary never-composed detection mechanism. Do not skip it. -3. Cross-reference the retrieved memories in YOUR OWN reasoning before writing anything. Compose them in your head first. Ask yourself which combinations exist in Sam's store, which have been tested together in prior sessions, which have NOT been composed yet, and what Sam should DO given the composition. -4. Only then write the response in the three-part shape above. +Use this compact structure: -## Forbidden Output Pattern +```text +Evidence: ... +Implication: ... +Recommendation: ... +``` -If your draft begins with "Memory A says X. Memory B says Y. Memory C says Z." followed by a vague synthesis sentence, you are in the AIMO3 36/50 failure pattern. STOP. Rewrite into composition form with a concrete "Sam should DO" action. +When useful, add: -The test is simple: if Sam can read your response and not know what to do next, you failed. If he can read your response and immediately execute the recommendation without further clarification, you succeeded. +```text +Contradictions: ... +Next step: ... +``` -## Trust Overrides +# Do Not -FSRS trust scores override your priors. A memory with retention greater than 0.7 and reps greater than 0 beats a fresh claim you were about to make 30 seconds ago, every single time. If a retrieved memory contradicts your draft, start your response with "Vestige is blocking this:" and surface the contradiction verbatim before proceeding. - -## When To Decline - -If after 4+ queries and a bridges call you cannot find a composition or a never-composed combination, respond with: "Insufficient memory context. Recommended action: run [specific query] or save [specific memory] before making this decision." That is a legitimate output. What is NOT legitimate is guessing. - -## Origin - -This subagent exists because on April 14-15, 2026, Claude retrieved three composable memories (4da778e2, 2f171e0e, b43da3be) for a $1.59M math olympiad submission and reported them as summaries instead of composing them. The result was 36/50 against a 47/50 prize threshold. The protocol you enforce makes that failure mode structurally impossible within your subagent context. You do not have permission to skip the shape. +- Do not dump memory summaries as the final answer. +- Do not invent hidden evidence. +- Do not claim a memory was checked unless a tool result supports it. +- Do not force a rigid template when the answer is simple. diff --git a/apps/dashboard/.env.example b/apps/dashboard/.env.example new file mode 100644 index 0000000..9b64f17 --- /dev/null +++ b/apps/dashboard/.env.example @@ -0,0 +1,9 @@ +# Optional public waitlist capture endpoint used by /dashboard/waitlist. +# The page POSTs JSON with: name, email, plan, priority, notes, source, createdAt. +# Examples: Formspree, Tally webhook, Buttondown custom endpoint, Supabase Edge Function. +VITE_WAITLIST_ENDPOINT= + +# Optional support bot endpoint used by /dashboard/waitlist. +# The page POSTs JSON with: question, plan, priority, source, and recent history. +# If unset, the page uses the built-in deterministic onboarding FAQ. +VITE_SUPPORT_BOT_ENDPOINT= diff --git 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✓ Save

'),ue=h('Weakest channel: ',1),fe=h('
⨯ Skip

'),ge=h('
Composite
%
',1),ye=h(`
◫

Type some content above to score its importance.

Composite = 0.25·novelty + 0.30·arousal + 0.25·reward + 0.20·attention. + Threshold for save: 60%.

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'),he=h('
'),we=h('

No memories yet.

'),be=h('· ',1),ke=h(' '),Me=h('
'),Se=h(``),Ae=h('
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Importance Radar

4-channel importance model: Novelty · Arousal · Reward · Attention

Test Importance

Paste any content below. Vestige scores it across 4 channels and + decides whether it is worth saving.

⌘/Ctrl + Enter

Top Important Memories This Week

Ranked by retention × reviews ÷ age. Click any card to open it.

`);function He(a,C){Rt(C,!0);let m=q(""),v=q(null),T=q(!1),w=q(null),Y=q(0);async function J(){const e=t(m).trim();if(!(!e||t(T))){F(T,!0),F(w,null);try{F(v,await Ct.importance(e),!0),Xt(Y)}catch(s){F(w,s instanceof Error?s.message:String(s),!0),F(v,null)}finally{F(T,!1)}}}function St(e){(e.metaKey||e.ctrlKey)&&e.key==="Enter"&&(e.preventDefault(),J())}const N={novelty:.25,arousal:.3,reward:.25,attention:.2},H={novelty:{high:"new information not already in your graph",low:"overlaps heavily with what you already know"},arousal:{high:"emotionally salient — decisions, bugs, or discoveries stick",low:"neutral tone, no strong affect signal"},reward:{high:"high reward value — preferences, wins, or solutions you will revisit",low:"low reward value — transient or incidental detail"},attention:{high:"strong attentional markers (imperatives, questions, urgency)",low:"passive phrasing, no clear attentional hook"}};let st=y(()=>t(v)?Object.keys(N).map(s=>({key:s,contribution:t(v).channels[s]*N[s]})).sort((s,u)=>u.contribution-s.contribution)[0]:null),nt=y(()=>t(v)?Object.keys(N).slice().sort((e,s)=>t(v).channels[e]-t(v).channels[s])[0]:null),$=q(Ft([])),ot=q(!0),_t=Ft({});function P(e){const s=Math.max(1,(Date.now()-new Date(e.createdAt).getTime())/864e5),u=e.reviewCount??0,f=1/Math.pow(s,.5);return e.retentionStrength*Math.log1p(u+1)*f}async function it(){F(ot,!0);try{const s=(await Ct.memories.list({limit:"20"})).memories.slice().sort((u,f)=>P(f)-P(u)).slice(0,20);F($,s,!0),t($).forEach(async u=>{try{const f=await Ct.importance(u.content);_t[u.id]=f.channels}catch{}})}catch{F($,[],!0)}finally{F(ot,!1)}}Pt(it);function ht(e){Qt(`${te}/memories`)}var W=Ce(),Q=o(i(W),2),wt=o(i(Q),2),lt=i(wt),tt=i(lt);Zt(tt);var d=o(tt,2),l=i(d),r=i(l,!0);n(l);var c=o(l,4);{var b=e=>{var s=pe(),u=i(s,!0);n(s),S(()=>_(u,t(w))),x(e,s)};R(c,e=>{t(w)&&e(b)})}n(d),n(lt);var g=o(lt,2),j=i(g);{var I=e=>{var s=ge(),u=U(s),f=o(i(u),2),z=i(f,!0);Gt(),n(f),n(u);var X=o(u,2);se(X,()=>t(Y),A=>{Et(A,{get novelty(){return t(v).channels.novelty},get arousal(){return t(v).channels.arousal},get reward(){return t(v).channels.reward},get attention(){return t(v).channels.attention},size:"lg"})});var vt=o(X,2);{var pt=A=>{var B=me(),D=o(i(B),2),Z=i(D),xt=o(Z);{var mt=k=>{var G=xe(),O=o(U(G)),ut=i(O,!0);n(O);var et=o(O);S(()=>{_(ut,t(st).key),_(et,` — ${H[t(st).key].high??""}.`)}),x(k,G)};R(xt,k=>{t(st)&&k(mt)})}n(D),n(B),S(k=>_(Z,`Composite ${k??""}% > 60% threshold. `),[()=>(t(v).composite*100).toFixed(0)]),x(A,B)},bt=A=>{var B=fe(),D=o(i(B),2),Z=i(D),xt=o(Z);{var mt=k=>{var G=ue(),O=o(U(G)),ut=i(O,!0);n(O);var et=o(O);S(()=>{_(ut,t(nt)),_(et,` — ${H[t(nt)].low??""}.`)}),x(k,G)};R(xt,k=>{t(nt)&&k(mt)})}n(D),n(B),S(k=>_(Z,`Composite ${k??""}% < 60% threshold. `),[()=>(t(v).composite*100).toFixed(0)]),x(A,B)};R(vt,A=>{t(v).composite>.6?A(pt):A(bt,!1)})}S(A=>_(z,A),[()=>(t(v).composite*100).toFixed(0)]),x(e,s)},dt=e=>{var s=ye();x(e,s)};R(j,e=>{t(v)?e(I):e(dt,!1)})}n(g),n(wt),n(Q);var L=o(Q,2),ct=i(L),At=o(i(ct),2);n(ct);var jt=o(ct,2);{var Lt=e=>{var s=he();V(s,20,()=>Array(6),rt,(u,f)=>{var z=_e();x(u,z)}),n(s),x(e,s)},Bt=e=>{var s=we();x(e,s)},Dt=e=>{var s=Ae();V(s,21,()=>t($),u=>u.id,(u,f)=>{const z=y(()=>_t[t(f).id]);var X=Se(),vt=i(X),pt=i(vt),bt=i(pt),A=o(bt,2),B=i(A,!0);n(A);var D=o(A,4),Z=i(D);n(D);var xt=o(D,2);{var mt=E=>{var K=be(),at=o(U(K),2),ft=i(at);n(at),S(()=>_(ft,`${t(f).reviewCount??""} reviews`)),x(E,K)};R(xt,E=>{t(f).reviewCount&&E(mt)})}n(pt);var k=o(pt,2),G=i(k,!0);n(k);var O=o(k,2);{var ut=E=>{var K=Me();V(K,21,()=>t(f).tags.slice(0,4),rt,(at,ft)=>{var M=ke(),zt=i(M,!0);n(M),S(()=>_(zt,t(ft))),x(at,M)}),n(K),x(E,K)};R(O,E=>{t(f).tags.length>0&&E(ut)})}n(vt);var et=o(vt,2),Ot=i(et);{let E=y(()=>{var M;return((M=t(z))==null?void 0:M.novelty)??0}),K=y(()=>{var M;return((M=t(z))==null?void 0:M.arousal)??0}),at=y(()=>{var M;return((M=t(z))==null?void 0:M.reward)??0}),ft=y(()=>{var M;return((M=t(z))==null?void 0:M.attention)??0});Et(Ot,{get novelty(){return t(E)},get arousal(){return t(K)},get reward(){return t(at)},get attention(){return t(ft)},size:"sm"})}n(et),n(X),S(E=>{Yt(bt,`background: ${(ee[t(f).nodeType]||"#8B95A5")??""}`),_(B,t(f).nodeType),_(Z,`${E??""}% retention`),_(G,t(f).content)},[()=>(t(f).retentionStrength*100).toFixed(0)]),kt("click",X,()=>ht(t(f).id)),x(u,X)}),n(s),x(e,s)};R(jt,e=>{t(ot)?e(Lt):t($).length===0?e(Bt,1):e(Dt,!1)})}n(L),n(W),S(e=>{l.disabled=e,_(r,t(T)?"Scoring…":"Score Importance")},[()=>t(T)||!t(m).trim()]),kt("keydown",tt,St),Jt(tt,()=>t(m),e=>F(m,e)),kt("click",l,J),kt("click",At,it),x(a,W),Tt()}Ut(["keydown","click"]);export{He as component}; diff --git a/apps/dashboard/build/_app/immutable/nodes/11.WP3QAgOF.js.br b/apps/dashboard/build/_app/immutable/nodes/11.WP3QAgOF.js.br new file mode 100644 index 0000000..71afdaf Binary files /dev/null and b/apps/dashboard/build/_app/immutable/nodes/11.WP3QAgOF.js.br differ diff --git a/apps/dashboard/build/_app/immutable/nodes/11.WP3QAgOF.js.gz b/apps/dashboard/build/_app/immutable/nodes/11.WP3QAgOF.js.gz new file mode 100644 index 0000000..a646228 Binary files /dev/null and b/apps/dashboard/build/_app/immutable/nodes/11.WP3QAgOF.js.gz differ diff --git a/apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js.br b/apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js.br deleted file mode 100644 index 0d77603..0000000 Binary files a/apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js.br and /dev/null differ diff --git a/apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js.gz b/apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js.gz deleted file mode 100644 index 2606b86..0000000 Binary files a/apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js.gz and /dev/null differ diff --git a/apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js b/apps/dashboard/build/_app/immutable/nodes/12.DaxyVsV4.js similarity index 93% rename from apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js rename to apps/dashboard/build/_app/immutable/nodes/12.DaxyVsV4.js index 482ce1e..9d93ad4 100644 --- a/apps/dashboard/build/_app/immutable/nodes/12.DZiW_IZ_.js +++ b/apps/dashboard/build/_app/immutable/nodes/12.DaxyVsV4.js @@ -1 +1 @@ -import"../chunks/Bzak7iHL.js";import{o as gt}from"../chunks/CNjeV5xa.js";import{p as yt,s as D,c as Q,t as u,a as bt,d as o,e as n,h as O,g as r,r as a,n as ht}from"../chunks/CvjSAYrz.js";import{d as wt,s as d,a as Rt}from"../chunks/FzvEaXMa.js";import{i as R}from"../chunks/ciN1mm2W.js";import{e as L,i as U}from"../chunks/DTnG8poT.js";import{a as l,f as v}from"../chunks/BsvCUYx-.js";import{s as W}from"../chunks/DPl3NjBv.js";import{a as Z}from"../chunks/DNjM5a-l.js";var St=v(""),$t=v('
'),Pt=v('
'),Nt=v('
◇

Use "Remind me..." in conversation to create intentions.

'),Ot=v(' '),It=v(' '),Tt=v('

'),kt=v('
'),zt=v('
◬

No predictions yet. Use Vestige more to train the predictive model.

'),Dt=v(" "),Lt=v(' '),Ut=v('

'),Ct=v('
'),At=v('

Intentions & Predictions

Prospective Memory

"Remember to do X when Y happens"

Predicted Needs

What you might need next
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Use "Remind me..." in conversation to create intentions.

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Intentions & Predictions

Prospective Memory

"Remember to do X when Y happens"

Predicted Needs

What you might need next
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            Cross-Project Intelligence

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            ⟿ Cognitive Pipeline

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            Error:
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            ❖ Reasoning

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            Primary Source

            ·

            ⟿ Cognitive Pipeline

            ◈ Evidence

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            ❖

            Reasoning Theater

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            ◎
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+ trust-scored evidence.

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            ◫ Retention Distribution

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            Settings & System

            Memories
            Avg Retention
            WebSocket
            v2.1
            Vestige

            ◈ Cognitive Operations

            Pulse Toast Preview
            Fire a synthetic event sequence — useful for UI demos
            Birth Ritual Preview
            Inject a synthetic memory — switch to Graph to watch the orb fly in
            FSRS-6 Consolidation
            Apply spaced-repetition decay, regenerate embeddings, run maintenance
            Memory Dream Cycle
            Replay memories, discover hidden connections, synthesize insights

            ⌨ Keyboard Shortcuts

            ◎ About

            V
            Vestige v2.1 "Nuclear Dashboard"
            Your AI's long-term memory system
            29 cognitive modules
            FSRS-6 spaced repetition
            Nomic Embed v1.5 (256d)
            Jina Reranker v1 Turbo
            USearch HNSW (20x FAISS)
            Local-first, zero cloud
            Built with Rust + Axum + SvelteKit 2 + Svelte 5 + Three.js + Tailwind CSS 4
            `);function It(Se,Ce){Xe(Ce,!0);const De=()=>ie(dt,"$memoryCount",B),N=()=>ie(rt,"$avgRetention",B),de=()=>ie(ot,"$isConnected",B),[B,$e]=at(),re=["fact","concept","pattern","decision","person","place"];let K=k(0);function Re(){const a=re[s(K)%re.length];et(K),it.injectEvent({type:"MemoryCreated",data:{id:`demo-birth-${Date.now()}`,content:`Demo memory #${s(K)} — ${a}`,node_type:a,tags:["demo","v2.3-birth-ritual"],retention:.9}})}let T=k(!1),R=k(!1),y=k(null),f=k(null),Ae=k(null),$=k(null),oe=k(!0),Ge=k(null);Qe(()=>{O()});async function O(){m(oe,!0);try{const[a,d,c]=await Promise.all([F.stats().catch(()=>null),F.health().catch(()=>null),F.retentionDistribution().catch(()=>null)]);m(Ae,a,!0),m(Ge,d,!0),m($,c,!0)}finally{m(oe,!1)}}async function je(){m(T,!0),m(y,null);try{m(y,await F.consolidate(),!0),await O()}catch{}finally{m(T,!1)}}async function Me(){m(R,!0),m(f,null);try{m(f,await F.dream(),!0),await O()}catch{}finally{m(R,!1)}}var V=St(),q=t(V),Pe=i(t(q),2);e(q);var z=i(q,2),J=t(z),ne=t(J),Ee=t(ne,!0);e(ne),_(2),e(J);var U=i(J,2),W=t(U),Fe=t(W);e(W),_(2),e(U);var ve=i(U,2),le=t(ve),ce=t(le),xe=i(ce,2),Te=t(xe,!0);e(xe),e(le),_(2),e(ve),_(2),e(z);var Y=i(z,2),H=i(t(Y),2),me=t(H),Oe=i(t(me),2);e(me),e(H);var L=i(H,2),pe=t(L),Ie=i(t(pe),2);e(pe),e(L);var Q=i(L,2),X=t(Q),I=i(t(X),2),Ne=t(I);{var Be=a=>{var d=vt();_(),v(a,d)},Ke=a=>{var d=he("Consolidate");v(a,d)};u(Ne,a=>{s(T)?a(Be):a(Ke,!1)})}e(I),e(X);var Ve=i(X,2);{var qe=a=>{var d=mt(),c=t(d),g=t(c);{var S=o=>{var r=lt(),n=t(r),x=t(n,!0);e(n),_(2),e(r),w(()=>p(x,s(y).nodesProcessed)),v(o,r)};u(g,o=>{s(y).nodesProcessed!==void 0&&o(S)})}var b=i(g,2);{var h=o=>{var r=ct(),n=t(r),x=t(n,!0);e(n),_(2),e(r),w(()=>p(x,s(y).decayApplied)),v(o,r)};u(b,o=>{s(y).decayApplied!==void 0&&o(h)})}var C=i(b,2);{var G=o=>{var r=xt(),n=t(r),x=t(n,!0);e(n),_(2),e(r),w(()=>p(x,s(y).embeddingsGenerated)),v(o,r)};u(C,o=>{s(y).embeddingsGenerated!==void 0&&o(G)})}e(c),e(d),v(a,d)};u(Ve,a=>{s(y)&&a(qe)})}e(Q);var ue=i(Q,2),Z=t(ue),A=i(t(Z),2),ze=t(A);{var Je=a=>{var d=pt();_(),v(a,d)},Ue=a=>{var d=he("Dream");v(a,d)};u(ze,a=>{s(R)?a(Je):a(Ue,!1)})}e(A),e(Z);var We=i(Z,2);{var Ye=a=>{var d=_t(),c=t(d);{var g=o=>{var r=ft(),n=i(tt(r),2);se(n,17,()=>s(f).insights,ae,(x,j)=>{var D=ut(),M=t(D,!0);e(D),w(ee=>p(M,ee),[()=>typeof s(j)=="string"?s(j):JSON.stringify(s(j))]),v(x,D)}),v(o,r)},S=P(()=>s(f).insights&&Array.isArray(s(f).insights));u(c,o=>{s(S)&&o(g)})}var b=i(c,2);{var h=o=>{var r=gt(),n=i(t(r)),x=t(n,!0);e(n),e(r),w(()=>p(x,s(f).connections_found)),v(o,r)};u(b,o=>{s(f).connections_found!==void 0&&o(h)})}var C=i(b,2);{var G=o=>{var r=bt(),n=i(t(r)),x=t(n,!0);e(n),e(r),w(()=>p(x,s(f).memories_replayed)),v(o,r)};u(C,o=>{s(f).memories_replayed!==void 0&&o(G)})}e(d),v(a,d)};u(We,a=>{s(f)&&a(Ye)})}e(ue),e(Y);var fe=i(Y,2);{var He=a=>{var d=wt(),c=i(t(d),2),g=t(c);{var S=h=>{var C=ht();se(C,21,()=>s($).distribution,ae,(G,o,r)=>{const n=P(()=>Math.max(...s($).distribution.map(te=>te.count),1)),x=P(()=>s(o).count/s(n)*100),j=P(()=>r<2?"#ef4444":r<4?"#f59e0b":r<7?"#6366f1":"#10b981");var D=yt(),M=t(D),ee=t(M,!0);e(M);var ye=i(M,2),Le=i(ye,2);Le.textContent=`${r*10}%`,e(D),w(te=>{p(ee,s(o).count),ke(ye,`height: ${te??""}%; 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diff --git a/apps/dashboard/build/_app/immutable/nodes/17.CLL0vjL4.js.br b/apps/dashboard/build/_app/immutable/nodes/17.CLL0vjL4.js.br new file mode 100644 index 0000000..174b1e9 Binary files /dev/null and b/apps/dashboard/build/_app/immutable/nodes/17.CLL0vjL4.js.br differ diff --git a/apps/dashboard/build/_app/immutable/nodes/17.CLL0vjL4.js.gz b/apps/dashboard/build/_app/immutable/nodes/17.CLL0vjL4.js.gz new file mode 100644 index 0000000..c42a40b Binary files /dev/null and b/apps/dashboard/build/_app/immutable/nodes/17.CLL0vjL4.js.gz differ diff --git a/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js b/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js deleted file mode 100644 index df55a62..0000000 --- a/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js +++ /dev/null @@ -1,2 +0,0 @@ -import"../chunks/Bzak7iHL.js";import{o as Qe}from"../chunks/CNjeV5xa.js";import{p as Xe,t as w,a as Ze,d as i,e as t,g as s,s as k,h as m,a2 as et,r as e,n as _,f as tt,u as P}from"../chunks/CvjSAYrz.js";import{d as st,a as E,s as p}from"../chunks/FzvEaXMa.js";import{i as u}from"../chunks/ciN1mm2W.js";import{e as se,i as ae}from"../chunks/DTnG8poT.js";import{a as v,f as l,t as he}from"../chunks/BsvCUYx-.js";import{s as we}from"../chunks/DPl3NjBv.js";import{s as ke}from"../chunks/Bhad70Ss.js";import{s as at,a as ie}from"../chunks/D81f-o_I.js";import{a as F}from"../chunks/DNjM5a-l.js";import{w as it,m as dt,a as rt,i as ot}from"../chunks/CtkE7HV2.js";import{f as nt}from"../chunks/Casl2yrL.js";var vt=l(' Running...',1),lt=l('
            Processed
            '),ct=l('
            Decayed
            '),xt=l('
            Embedded
            '),mt=l('
            '),pt=l(' Dreaming...',1),ut=l('
            '),ft=l('
            Insights Discovered:
            ',1),gt=l('
            Connections found:
            '),bt=l('
            Memories replayed:
            '),_t=l('
            '),yt=l('
            '),ht=l('
            '),wt=l('

            ◫ Retention Distribution

            '),kt=l('
            '),St=l(`

            Settings & System

            Memories
            Avg Retention
            WebSocket
            v2.1
            Vestige

            ◈ Cognitive Operations

            Pulse Toast Preview
            Fire a synthetic event sequence — useful for UI demos
            Birth Ritual Preview
            Inject a synthetic memory — switch to Graph to watch the orb fly in
            FSRS-6 Consolidation
            Apply spaced-repetition decay, regenerate embeddings, run maintenance
            Memory Dream Cycle
            Replay memories, discover hidden connections, synthesize insights

            ⌨ Keyboard Shortcuts

            ◎ About

            V
            Vestige v2.1 "Nuclear Dashboard"
            Your AI's long-term memory system
            29 cognitive modules
            FSRS-6 spaced repetition
            Nomic Embed v1.5 (256d)
            Jina Reranker v1 Turbo
            USearch HNSW (20x FAISS)
            Local-first, zero cloud
            Built with Rust + Axum + SvelteKit 2 + Svelte 5 + Three.js + Tailwind CSS 4
            `);function It(Se,Ce){Xe(Ce,!0);const De=()=>ie(dt,"$memoryCount",B),N=()=>ie(rt,"$avgRetention",B),de=()=>ie(ot,"$isConnected",B),[B,$e]=at(),re=["fact","concept","pattern","decision","person","place"];let K=k(0);function Re(){const a=re[s(K)%re.length];et(K),it.injectEvent({type:"MemoryCreated",data:{id:`demo-birth-${Date.now()}`,content:`Demo memory #${s(K)} — ${a}`,node_type:a,tags:["demo","v2.3-birth-ritual"],retention:.9}})}let T=k(!1),R=k(!1),y=k(null),f=k(null),Ae=k(null),$=k(null),oe=k(!0),Ge=k(null);Qe(()=>{O()});async function O(){m(oe,!0);try{const[a,d,c]=await Promise.all([F.stats().catch(()=>null),F.health().catch(()=>null),F.retentionDistribution().catch(()=>null)]);m(Ae,a,!0),m(Ge,d,!0),m($,c,!0)}finally{m(oe,!1)}}async function je(){m(T,!0),m(y,null);try{m(y,await F.consolidate(),!0),await O()}catch{}finally{m(T,!1)}}async function Me(){m(R,!0),m(f,null);try{m(f,await F.dream(),!0),await O()}catch{}finally{m(R,!1)}}var V=St(),q=t(V),Pe=i(t(q),2);e(q);var z=i(q,2),J=t(z),ne=t(J),Ee=t(ne,!0);e(ne),_(2),e(J);var U=i(J,2),W=t(U),Fe=t(W);e(W),_(2),e(U);var ve=i(U,2),le=t(ve),ce=t(le),xe=i(ce,2),Te=t(xe,!0);e(xe),e(le),_(2),e(ve),_(2),e(z);var Y=i(z,2),H=i(t(Y),2),me=t(H),Oe=i(t(me),2);e(me),e(H);var L=i(H,2),pe=t(L),Ie=i(t(pe),2);e(pe),e(L);var Q=i(L,2),X=t(Q),I=i(t(X),2),Ne=t(I);{var Be=a=>{var d=vt();_(),v(a,d)},Ke=a=>{var d=he("Consolidate");v(a,d)};u(Ne,a=>{s(T)?a(Be):a(Ke,!1)})}e(I),e(X);var Ve=i(X,2);{var qe=a=>{var d=mt(),c=t(d),g=t(c);{var S=o=>{var r=lt(),n=t(r),x=t(n,!0);e(n),_(2),e(r),w(()=>p(x,s(y).nodesProcessed)),v(o,r)};u(g,o=>{s(y).nodesProcessed!==void 0&&o(S)})}var b=i(g,2);{var h=o=>{var r=ct(),n=t(r),x=t(n,!0);e(n),_(2),e(r),w(()=>p(x,s(y).decayApplied)),v(o,r)};u(b,o=>{s(y).decayApplied!==void 0&&o(h)})}var C=i(b,2);{var G=o=>{var r=xt(),n=t(r),x=t(n,!0);e(n),_(2),e(r),w(()=>p(x,s(y).embeddingsGenerated)),v(o,r)};u(C,o=>{s(y).embeddingsGenerated!==void 0&&o(G)})}e(c),e(d),v(a,d)};u(Ve,a=>{s(y)&&a(qe)})}e(Q);var ue=i(Q,2),Z=t(ue),A=i(t(Z),2),ze=t(A);{var Je=a=>{var d=pt();_(),v(a,d)},Ue=a=>{var d=he("Dream");v(a,d)};u(ze,a=>{s(R)?a(Je):a(Ue,!1)})}e(A),e(Z);var We=i(Z,2);{var Ye=a=>{var d=_t(),c=t(d);{var g=o=>{var r=ft(),n=i(tt(r),2);se(n,17,()=>s(f).insights,ae,(x,j)=>{var D=ut(),M=t(D,!0);e(D),w(ee=>p(M,ee),[()=>typeof s(j)=="string"?s(j):JSON.stringify(s(j))]),v(x,D)}),v(o,r)},S=P(()=>s(f).insights&&Array.isArray(s(f).insights));u(c,o=>{s(S)&&o(g)})}var b=i(c,2);{var h=o=>{var r=gt(),n=i(t(r)),x=t(n,!0);e(n),e(r),w(()=>p(x,s(f).connections_found)),v(o,r)};u(b,o=>{s(f).connections_found!==void 0&&o(h)})}var C=i(b,2);{var G=o=>{var r=bt(),n=i(t(r)),x=t(n,!0);e(n),e(r),w(()=>p(x,s(f).memories_replayed)),v(o,r)};u(C,o=>{s(f).memories_replayed!==void 0&&o(G)})}e(d),v(a,d)};u(We,a=>{s(f)&&a(Ye)})}e(ue),e(Y);var fe=i(Y,2);{var He=a=>{var d=wt(),c=i(t(d),2),g=t(c);{var S=h=>{var C=ht();se(C,21,()=>s($).distribution,ae,(G,o,r)=>{const n=P(()=>Math.max(...s($).distribution.map(te=>te.count),1)),x=P(()=>s(o).count/s(n)*100),j=P(()=>r<2?"#ef4444":r<4?"#f59e0b":r<7?"#6366f1":"#10b981");var D=yt(),M=t(D),ee=t(M,!0);e(M);var ye=i(M,2),Le=i(ye,2);Le.textContent=`${r*10}%`,e(D),w(te=>{p(ee,s(o).count),ke(ye,`height: ${te??""}%; 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diff --git a/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js.br b/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js.br deleted file mode 100644 index ccfee22..0000000 Binary files a/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js.br and /dev/null differ diff --git a/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js.gz b/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js.gz deleted file mode 100644 index 6734125..0000000 Binary files a/apps/dashboard/build/_app/immutable/nodes/17.PvQmHhRC.js.gz and /dev/null differ diff --git a/apps/dashboard/build/_app/immutable/nodes/18.CXHHR36X.js b/apps/dashboard/build/_app/immutable/nodes/18.CXHHR36X.js new file mode 100644 index 0000000..8c48470 --- /dev/null +++ b/apps/dashboard/build/_app/immutable/nodes/18.CXHHR36X.js @@ -0,0 +1 @@ +import"../chunks/Bzak7iHL.js";import{o as Ft}from"../chunks/GG5zm9kr.js";import{p as $t,a as Ct,j as W,h as y,e as s,d as e,g as t,r as a,s as E,f as dt,n as P,t as B,u as O}from"../chunks/CpWkWWOo.js";import{d as Rt,s as i,a as At}from"../chunks/BlVfL1ME.js";import{i as X}from"../chunks/B4yTwGkE.js";import{e as U,i as q}from"../chunks/CGEBXrjl.js";import{a as p,f as u}from"../chunks/CHOnp4oo.js";import{s as A}from"../chunks/Cx-f-Pzo.js";import{a as w}from"../chunks/DNjM5a-l.js";var Dt=u('
            '),Mt=u('
            '),kt=u('
            '),Bt=u('
            '),St=u('
            '),Tt=u('

            '),jt=u('

            Retention Distribution

            Memory Types

            ',1),Et=u('
            Total Memories
            Avg Retention
            Due for Review
            Embedding Coverage
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diff --git a/apps/dashboard/build/_app/immutable/nodes/2.D-vKwnTC.js.br b/apps/dashboard/build/_app/immutable/nodes/2.D-vKwnTC.js.br new file mode 100644 index 0000000..b1be6ec Binary files /dev/null and b/apps/dashboard/build/_app/immutable/nodes/2.D-vKwnTC.js.br differ diff --git a/apps/dashboard/build/_app/immutable/nodes/2.D-vKwnTC.js.gz b/apps/dashboard/build/_app/immutable/nodes/2.D-vKwnTC.js.gz new file mode 100644 index 0000000..ba053e9 Binary files /dev/null and b/apps/dashboard/build/_app/immutable/nodes/2.D-vKwnTC.js.gz differ diff --git a/apps/dashboard/build/_app/immutable/nodes/20.BwEdZXUF.js b/apps/dashboard/build/_app/immutable/nodes/20.BwEdZXUF.js new file mode 100644 index 0000000..32708f0 --- /dev/null +++ b/apps/dashboard/build/_app/immutable/nodes/20.BwEdZXUF.js @@ -0,0 +1,6 @@ +import"../chunks/Bzak7iHL.js";import{o as it}from"../chunks/GG5zm9kr.js";import{p as ct,s as p,c as mt,t as f,g as a,a as dt,W as pt,e as s,d as l,h as c,aG as vt,n as $e,r as o,i as ut}from"../chunks/CpWkWWOo.js";import{d as ht,e as Qe,s as v,a as bt}from"../chunks/BlVfL1ME.js";import{i as We}from"../chunks/B4yTwGkE.js";import{e as P,i as k}from"../chunks/CGEBXrjl.js";import{a as u,f as h}from"../chunks/CHOnp4oo.js";import{h as yt}from"../chunks/C4h_mRt2.js";import{s as Ge,r as W}from"../chunks/A7po6GxK.js";import{s as He}from"../chunks/aVbAZ-t7.js";import{s as gt}from"../chunks/Cx-f-Pzo.js";import{b as V}from"../chunks/sZcqyNBA.js";import{b as Re}from"../chunks/BnXDGOmJ.js";import{b as ft}from"../chunks/CJsMJEun.js";import{b as Ue}from"../chunks/BskPcZf7.js";var qt=h(''),_t=h('
            '),wt=h("

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            '),xt=h('

            '),St=h("
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            Checking the onboarding notes...

            '),Ct=h(''),Mt=h(`
            V Vestige Pro

            June early access

            Vestige Pro

            The paid layer for developers and teams who already trust Vestige as local memory for AI agents. + Sync, backups, team memory, and bot-assisted support come next.

            Join the waitlist View open source

            Early access

            Reserve a Pro seat

            Why Pro exists

            Two plans. One promise: agent memory you can depend on.

            Always-on answers

            The support bot handles the first wave.

            This is the first support layer: instant onboarding answers before anyone has to write an email. + It can run locally from the FAQ now and call a hosted support endpoint later.

            Onboarding bot

            May to June

            The plan is simple.

            1. May Get Vestige into every MCP, Claude Code, Cursor, local AI, Rust, and self-hosted channel that cares about agent memory.
            2. June Invite the first Solo Pro and Team Pro users into sync, backups, shared memory, PostgreSQL-backed deployments, and bot-assisted support.
            3. After Use paid feedback to turn Vestige from a beloved local tool into durable agent-memory infrastructure.
            `);function Ft(Be,Ee){ct(Ee,!0);let q,G=p(""),j=p(""),I=p("solo"),J=p("sync"),x=p(""),H=p(""),y=p("idle"),_=p(""),S=p(""),T=p(!1),C=p(mt([{role:"bot",content:"Ask me about installing Vestige, whether heavy models are required, Solo vs Team Pro, sync, pricing, or what happens after you join the June list."}]));const Fe=[{value:"Local",label:"SQLite memory, no hosted memory service"},{value:"MCP",label:"Claude Code, Cursor, Cline, Codex, Goose"},{value:"June",label:"Pro sync, backup, team memory early access"}],De=[{name:"Solo Pro",accent:"#22c55e",copy:"Multi-device sync, encrypted backups, managed updates, and a cleaner memory dashboard for developers living inside AI coding agents."},{name:"Team Pro",accent:"#06b6d4",copy:"Shared project memory, admin review, audit trails, PostgreSQL-backed deployments, and async support for engineering teams."}],Oe=["Private by default","Sync without lock-in","Team memory controls","Bot-assisted support"],ze=[{label:"Install",prompt:"How do I install Vestige and connect it to Claude Code?"},{label:"No 20GB?",prompt:"Do I need the Sanhedrin model or 20GB of RAM?"},{label:"Solo vs Team",prompt:"Should I choose Solo Pro or Team Pro?"},{label:"Sync",prompt:"How will Pro sync and backups work?"},{label:"Pricing",prompt:"How much will Vestige Pro cost?"},{label:"Human help",prompt:"When does a human get involved?"}];it(()=>{const t=q.getContext("2d");if(!t)return;const e=t;let r=0,i=0,m=0;const d=Array.from({length:62},(b,w)=>({x:Math.random(),y:Math.random(),vx:(Math.random()-.5)*16e-5,vy:(Math.random()-.5)*16e-5,phase:Math.random()*Math.PI*2,kind:w%5}));function M(){const b=Math.min(window.devicePixelRatio||1,2);i=window.innerWidth,m=window.innerHeight,q.width=Math.floor(i*b),q.height=Math.floor(m*b),q.style.width=`${i}px`,q.style.height=`${m}px`,e.setTransform(b,0,0,b,0,0)}function Me(b){e.clearRect(0,0,i,m);const w=e.createLinearGradient(0,0,i,m);w.addColorStop(0,"#07100f"),w.addColorStop(.45,"#0b1221"),w.addColorStop(1,"#15100a"),e.fillStyle=w,e.fillRect(0,0,i,m),e.strokeStyle="rgba(148, 163, 184, 0.08)",e.lineWidth=1;for(let n=0;n.96)&&(n.vx*=-1),(n.y<.06||n.y>.94)&&(n.vy*=-1);for(let n=0;n{cancelAnimationFrame(r),window.removeEventListener("resize",M)}});function Ne(){const t=["## Vestige Pro waitlist","",`Plan: ${a(I)}`,`Priority: ${a(J)}`,a(x).trim()?`Use case: ${a(x).trim()}`:"Use case:","","Please do not include private email addresses in this public issue."].join(` +`);return`https://github.com/samvallad33/vestige/issues/new?title=${encodeURIComponent("Vestige Pro waitlist")}&body=${encodeURIComponent(t)}`}async function Ye(t){if(t.preventDefault(),c(y,"submitting"),c(_,""),a(H).trim()){c(y,"success"),c(_,"You are on the list.");return}if(!a(j).includes("@")){c(y,"error"),c(_,"Enter an email so the early-access invite can reach you.");return}a(G).trim(),a(j).trim(),a(I),a(J),a(x).trim(),new Date().toISOString();{c(y,"success"),c(_,"Email capture is ready for an endpoint. 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Pro should keep that promise: nobody should need a 20GB machine just to use memory.":/(solo|team|plan|seat|buying)/.test(e)?"Choose Solo Pro if you want your own multi-device memory, backups, smoother updates, and personal support. Choose Team Pro if multiple people need shared project memory, admin controls, PostgreSQL-backed storage, audit trails, or team onboarding.":/(sync|backup|device|dropbox|icloud|syncthing|postgres|postgresql|pg|central)/.test(e)?"Open-source Vestige should stay local-first. Pro is where guided sync, encrypted backups, conflict handling, and Team Pro PostgreSQL-backed storage belong. The important design rule: users own memory and can export it.":/(price|pricing|cost|pay|billing|stripe|lemon|subscription|monthly|yearly)/.test(e)?"Pricing is not final yet. The current plan is simple: Solo Pro for individual developers, Team Pro for engineering teams. Join the waitlist so early users can shape pricing before the June launch.":/(update|upgrade|curl|reinstall|version)/.test(e)?"Use `vestige update` for existing installs. The goal is that users should not need to keep copying curl commands just to stay current.":/(privacy|local|cloud|telemetry|data|where.*stored|sqlite)/.test(e)?"Vestige core stores memory locally in SQLite and does not need a hosted memory service. Pro should add convenience around sync, backup, and teams without turning private local memory into a black box.":/(support|bot|human|email|question|help|available|awake|discord)/.test(e)?"The support bot should answer common install, sync, plan, and onboarding questions instantly. Hard cases should escalate with context so a human teammate only handles the issues that actually need human judgment.":/(waitlist|june|early|launch|invite|after)/.test(e)?"After you join the waitlist, the June early-access flow should invite you into the right lane: Solo Pro for personal memory, Team Pro for shared memory and admin controls. The bot will keep onboarding answers available while the launch scales.":"I can help with install, updates, optional heavy models, Solo vs Team Pro, sync, backups, privacy, pricing, and support escalation. 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            '),ke=m('

            Live Feed

            ');function ze(q,F){ee(F,!1);const S=()=>me(ue,"$eventFeed",j),[j,I]=le();function p(n){return new Date(n).toLocaleTimeString()}function _(n){return{MemoryCreated:"+",MemoryUpdated:"~",MemoryDeleted:"×",MemoryPromoted:"↑",MemoryDemoted:"↓",SearchPerformed:"◎",DreamStarted:"◈",DreamProgress:"◈",DreamCompleted:"◈",ConsolidationStarted:"◉",ConsolidationCompleted:"◉",RetentionDecayed:"↘",ConnectionDiscovered:"━",ActivationSpread:"◬",ImportanceScored:"◫",Heartbeat:"♡"}[n]||"·"}function g(n){const r=n.data;switch(n.type){case"MemoryCreated":return`New ${r.node_type}: "${String(r.content_preview).slice(0,60)}..."`;case"SearchPerformed":return`Searched "${r.query}" → ${r.result_count} results (${r.duration_ms}ms)`;case"DreamStarted":return`Dream started with ${r.memory_count} memories`;case"DreamCompleted":return`Dream complete: ${r.connections_found} connections, ${r.insights_generated} insights (${r.duration_ms}ms)`;case"ConsolidationStarted":return"Consolidation cycle started";case"ConsolidationCompleted":return`Consolidated ${r.nodes_processed} nodes, ${r.decay_applied} decayed (${r.duration_ms}ms)`;case"ConnectionDiscovered":return`Connection: ${String(r.connection_type)} (weight: ${Number(r.weight).toFixed(2)})`;case"ImportanceScored":return`Scored ${Number(r.composite_score).toFixed(2)}: "${String(r.content_preview).slice(0,50)}..."`;case"MemoryPromoted":return`Promoted → ${(Number(r.new_retention)*100).toFixed(0)}% retention`;case"MemoryDemoted":return`Demoted → ${(Number(r.new_retention)*100).toFixed(0)}% retention`;default:return JSON.stringify(r).slice(0,100)}}oe();var u=ke(),M=o(u),D=d(o(M),2),b=o(D),L=o(b);s(b);var V=d(b,2);s(D),s(M);var P=d(M,2);{var N=n=>{var r=we();l(n,r)},z=n=>{var r=De();re(r,5,S,ae,(H,t)=>{var a=Se(),i=o(a),v=o(i,!0);s(i);var E=d(i,2),k=o(E),h=o(k),y=o(h,!0);s(h);var J=d(h,2);{var R=c=>{var f=Ce(),Y=o(f,!0);s(f),$(G=>x(Y,G),[()=>p(String(e(t).data.timestamp))]),l(c,f)};w(J,c=>{e(t).data.timestamp&&c(R)})}s(k);var T=d(k,2),U=o(T,!0);s(T);var W=d(T,2);{var B=c=>{var f=Fe(),Y=o(f);{let G=Z(()=>Number(e(t).data.result_count)||0),se=Z(()=>Number(e(t).data.duration_ms)||0);be(Y,{get resultCount(){return e(G)},get durationMs(){return e(se)},active:!0})}s(f),l(c,f)};w(W,c=>{e(t).type==="SearchPerformed"&&c(B)})}s(E),s(a),$((c,f)=>{C(a,`border-left: 3px solid ${(O[e(t).type]||"#8B95A5")??""}`),C(i,`background: ${(O[e(t).type]||"#8B95A5")??""}15; color: ${(O[e(t).type]||"#8B95A5")??""}`),x(v,c),C(h,`color: ${(O[e(t).type]||"#8B95A5")??""}`),x(y,e(t).type),x(U,f)},[()=>_(e(t).type),()=>g(e(t))]),l(H,a)}),s(r),l(n,r)};w(P,n=>{S().length===0?n(N):n(z,!1)})}s(u),$(()=>x(L,`${S().length??""} events`)),ce("click",V,()=>ve.clearEvents()),l(q,u),te(),I()}de(["click"]);export{ze as component}; diff --git a/apps/dashboard/build/_app/immutable/nodes/9.BWaJ-VBd.js.br b/apps/dashboard/build/_app/immutable/nodes/9.BWaJ-VBd.js.br new file mode 100644 index 0000000..36cc5aa Binary files /dev/null and b/apps/dashboard/build/_app/immutable/nodes/9.BWaJ-VBd.js.br differ diff --git a/apps/dashboard/build/_app/immutable/nodes/9.BWaJ-VBd.js.gz b/apps/dashboard/build/_app/immutable/nodes/9.BWaJ-VBd.js.gz new file mode 100644 index 0000000..4766f92 Binary files /dev/null and b/apps/dashboard/build/_app/immutable/nodes/9.BWaJ-VBd.js.gz differ diff --git a/apps/dashboard/build/_app/immutable/nodes/9.DVbfK-u1.js.br b/apps/dashboard/build/_app/immutable/nodes/9.DVbfK-u1.js.br deleted file mode 100644 index 244d903..0000000 Binary files a/apps/dashboard/build/_app/immutable/nodes/9.DVbfK-u1.js.br and /dev/null differ diff --git a/apps/dashboard/build/_app/immutable/nodes/9.DVbfK-u1.js.gz b/apps/dashboard/build/_app/immutable/nodes/9.DVbfK-u1.js.gz deleted file mode 100644 index 54d3c61..0000000 Binary files a/apps/dashboard/build/_app/immutable/nodes/9.DVbfK-u1.js.gz and /dev/null differ diff --git a/apps/dashboard/build/_app/version.json b/apps/dashboard/build/_app/version.json index a92bcb7..2d5883d 100644 --- a/apps/dashboard/build/_app/version.json +++ b/apps/dashboard/build/_app/version.json @@ -1 +1 @@ -{"version":"1777313640654"} \ No newline at end of file +{"version":"1778051833240"} \ No newline at end of file diff --git a/apps/dashboard/build/_app/version.json.br b/apps/dashboard/build/_app/version.json.br index df334a5..28b7338 100644 Binary files a/apps/dashboard/build/_app/version.json.br and b/apps/dashboard/build/_app/version.json.br differ diff --git a/apps/dashboard/build/_app/version.json.gz b/apps/dashboard/build/_app/version.json.gz index e27a6be..03b8889 100644 Binary files a/apps/dashboard/build/_app/version.json.gz and b/apps/dashboard/build/_app/version.json.gz differ diff --git a/apps/dashboard/build/index.html b/apps/dashboard/build/index.html index abd1a74..31b0831 100644 --- a/apps/dashboard/build/index.html +++ b/apps/dashboard/build/index.html @@ -11,21 +11,21 @@ - - - - - - - - - + + + + + + + + + - - - - - + + + + + Vestige @@ -33,7 +33,7 @@
            diff --git a/apps/dashboard/src/routes/+layout.svelte b/apps/dashboard/src/routes/+layout.svelte index 08b778b..c00c098 100644 --- a/apps/dashboard/src/routes/+layout.svelte +++ b/apps/dashboard/src/routes/+layout.svelte @@ -23,12 +23,19 @@ let showCommandPalette = $state(false); let cmdQuery = $state(''); let cmdInput = $state(undefined as unknown as HTMLInputElement); + let dashboardPath = $derived( + $page.url.pathname.startsWith(base) ? $page.url.pathname.slice(base.length) || '/' : $page.url.pathname + ); + let isMarketingRoute = $derived(dashboardPath === '/waitlist' || dashboardPath.startsWith('/waitlist/')); onMount(() => { - websocket.connect(); + if (!isMarketingRoute) { + websocket.connect(); + } const teardownTheme = initTheme(); function onKeyDown(e: KeyboardEvent) { + if (isMarketingRoute) return; if ((e.metaKey || e.ctrlKey) && e.key === 'k') { e.preventDefault(); showCommandPalette = !showCommandPalette; @@ -113,118 +120,122 @@ } - - - - +{#if isMarketingRoute} + {@render children()} +{:else} + + + + - - -
            - - - -
            - -
            - {@render children()} -
            -
            + +
            + +
            + {@render children()} +
            +
            - -
            + +
            - - + + +{/if} -{#if showCommandPalette} +{#if showCommandPalette && !isMarketingRoute}
            + import { onMount } from 'svelte'; + import { base } from '$app/paths'; + + type SubmitState = 'idle' | 'submitting' | 'success' | 'error'; + type SupportMessage = { + role: 'bot' | 'user'; + content: string; + }; + + let canvas: HTMLCanvasElement; + let name = $state(''); + let email = $state(''); + let role = $state('solo'); + let priority = $state('sync'); + let notes = $state(''); + let companySite = $state(''); + let submitState = $state('idle'); + let submitMessage = $state(''); + let botQuestion = $state(''); + let botBusy = $state(false); + let botMessages = $state([ + { + role: 'bot', + content: 'Ask me about installing Vestige, whether heavy models are required, Solo vs Team Pro, sync, pricing, or what happens after you join the June list.' + } + ]); + + const waitlistEndpoint = import.meta.env.VITE_WAITLIST_ENDPOINT as string | undefined; + const supportBotEndpoint = import.meta.env.VITE_SUPPORT_BOT_ENDPOINT as string | undefined; + + const proofPoints = [ + { value: 'Local', label: 'SQLite memory, no hosted memory service' }, + { value: 'MCP', label: 'Claude Code, Cursor, Cline, Codex, Goose' }, + { value: 'June', label: 'Pro sync, backup, team memory early access' } + ]; + + const proTracks = [ + { + name: 'Solo Pro', + accent: '#22c55e', + copy: 'Multi-device sync, encrypted backups, managed updates, and a cleaner memory dashboard for developers living inside AI coding agents.' + }, + { + name: 'Team Pro', + accent: '#06b6d4', + copy: 'Shared project memory, admin review, audit trails, PostgreSQL-backed deployments, and async support for engineering teams.' + } + ]; + + const launchPillars = [ + 'Private by default', + 'Sync without lock-in', + 'Team memory controls', + 'Bot-assisted support' + ]; + + const supportPrompts = [ + { label: 'Install', prompt: 'How do I install Vestige and connect it to Claude Code?' }, + { label: 'No 20GB?', prompt: 'Do I need the Sanhedrin model or 20GB of RAM?' }, + { label: 'Solo vs Team', prompt: 'Should I choose Solo Pro or Team Pro?' }, + { label: 'Sync', prompt: 'How will Pro sync and backups work?' }, + { label: 'Pricing', prompt: 'How much will Vestige Pro cost?' }, + { label: 'Human help', prompt: 'When does a human get involved?' } + ]; + + onMount(() => { + const rawContext = canvas.getContext('2d'); + if (!rawContext) return; + const context: CanvasRenderingContext2D = rawContext; + + let frame = 0; + let width = 0; + let height = 0; + const nodeCount = 62; + const nodes = Array.from({ length: nodeCount }, (_, index) => ({ + x: Math.random(), + y: Math.random(), + vx: (Math.random() - 0.5) * 0.00016, + vy: (Math.random() - 0.5) * 0.00016, + phase: Math.random() * Math.PI * 2, + kind: index % 5 + })); + + function resize() { + const dpr = Math.min(window.devicePixelRatio || 1, 2); + width = window.innerWidth; + height = window.innerHeight; + canvas.width = Math.floor(width * dpr); + canvas.height = Math.floor(height * dpr); + canvas.style.width = `${width}px`; + canvas.style.height = `${height}px`; + context.setTransform(dpr, 0, 0, dpr, 0, 0); + } + + function draw(time: number) { + context.clearRect(0, 0, width, height); + const gradient = context.createLinearGradient(0, 0, width, height); + gradient.addColorStop(0, '#07100f'); + gradient.addColorStop(0.45, '#0b1221'); + gradient.addColorStop(1, '#15100a'); + context.fillStyle = gradient; + context.fillRect(0, 0, width, height); + + context.strokeStyle = 'rgba(148, 163, 184, 0.08)'; + context.lineWidth = 1; + for (let x = 0; x < width; x += 72) { + context.beginPath(); + context.moveTo(x, 0); + context.lineTo(x + Math.sin(time / 3000 + x) * 12, height); + context.stroke(); + } + for (let y = 0; y < height; y += 72) { + context.beginPath(); + context.moveTo(0, y); + context.lineTo(width, y + Math.cos(time / 3300 + y) * 12); + context.stroke(); + } + + for (const node of nodes) { + node.x += node.vx; + node.y += node.vy; + if (node.x < 0.04 || node.x > 0.96) node.vx *= -1; + if (node.y < 0.06 || node.y > 0.94) node.vy *= -1; + } + + for (let i = 0; i < nodes.length; i++) { + const a = nodes[i]; + const ax = a.x * width; + const ay = a.y * height; + for (let j = i + 1; j < nodes.length; j++) { + const b = nodes[j]; + const bx = b.x * width; + const by = b.y * height; + const dx = ax - bx; + const dy = ay - by; + const distance = Math.sqrt(dx * dx + dy * dy); + if (distance < 168) { + const alpha = (1 - distance / 168) * 0.18; + context.strokeStyle = `rgba(34, 197, 94, ${alpha})`; + context.beginPath(); + context.moveTo(ax, ay); + context.lineTo(bx, by); + context.stroke(); + } + } + } + + const colors = ['#22c55e', '#06b6d4', '#f59e0b', '#ef4444', '#a3e635']; + for (const node of nodes) { + const pulse = 0.5 + Math.sin(time / 900 + node.phase) * 0.5; + const x = node.x * width; + const y = node.y * height; + context.fillStyle = colors[node.kind]; + context.globalAlpha = 0.45 + pulse * 0.35; + context.beginPath(); + context.arc(x, y, 1.6 + pulse * 1.8, 0, Math.PI * 2); + context.fill(); + context.globalAlpha = 1; + } + + frame = requestAnimationFrame(draw); + } + + resize(); + window.addEventListener('resize', resize); + frame = requestAnimationFrame(draw); + + return () => { + cancelAnimationFrame(frame); + window.removeEventListener('resize', resize); + }; + }); + + function githubWaitlistUrl() { + const body = [ + '## Vestige Pro waitlist', + '', + `Plan: ${role}`, + `Priority: ${priority}`, + notes.trim() ? `Use case: ${notes.trim()}` : 'Use case:', + '', + 'Please do not include private email addresses in this public issue.' + ].join('\n'); + + return `https://github.com/samvallad33/vestige/issues/new?title=${encodeURIComponent('Vestige Pro waitlist')}&body=${encodeURIComponent(body)}`; + } + + async function joinWaitlist(event: SubmitEvent) { + event.preventDefault(); + submitState = 'submitting'; + submitMessage = ''; + + if (companySite.trim()) { + submitState = 'success'; + submitMessage = 'You are on the list.'; + return; + } + + if (!email.includes('@')) { + submitState = 'error'; + submitMessage = 'Enter an email so the early-access invite can reach you.'; + return; + } + + const payload = { + name: name.trim(), + email: email.trim(), + plan: role, + priority, + notes: notes.trim(), + source: 'vestige-pro-waitlist', + createdAt: new Date().toISOString() + }; + + if (!waitlistEndpoint) { + submitState = 'success'; + submitMessage = 'Email capture is ready for an endpoint. Opening the GitHub waitlist fallback with your email omitted.'; + window.open(githubWaitlistUrl(), '_blank', 'noopener,noreferrer'); + return; + } + + try { + const response = await fetch(waitlistEndpoint, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload) + }); + if (!response.ok) throw new Error(`Waitlist endpoint returned ${response.status}`); + submitState = 'success'; + submitMessage = 'You are on the June early-access list.'; + name = ''; + email = ''; + notes = ''; + } catch (error) { + submitState = 'error'; + submitMessage = error instanceof Error + ? error.message + : 'The waitlist endpoint did not accept the request.'; + } + } + + function localSupportAnswer(question: string) { + const query = question.toLowerCase(); + + if (/(install|setup|onboard|claude|cursor|cline|codex|connect)/.test(query)) { + return [ + 'Start with the open-source install:', + '1. `npm install -g vestige-mcp-server@latest`', + '2. Claude Code: `claude mcp add vestige vestige-mcp -s user`', + '3. Codex: `codex mcp add vestige -- vestige-mcp`', + 'Then test it by asking your agent to remember a preference, opening a fresh session, and asking for that preference back.' + ].join('\n'); + } + + if (/(sanhedrin|20gb|20 gb|ram|heavy|model|mlx|preflight|hook)/.test(query)) { + return 'No. The default Vestige path is the local MCP memory server. Sanhedrin, preflight hooks, and large local verifier models are optional. Pro should keep that promise: nobody should need a 20GB machine just to use memory.'; + } + + if (/(solo|team|plan|seat|buying)/.test(query)) { + return 'Choose Solo Pro if you want your own multi-device memory, backups, smoother updates, and personal support. Choose Team Pro if multiple people need shared project memory, admin controls, PostgreSQL-backed storage, audit trails, or team onboarding.'; + } + + if (/(sync|backup|device|dropbox|icloud|syncthing|postgres|postgresql|pg|central)/.test(query)) { + return 'Open-source Vestige should stay local-first. Pro is where guided sync, encrypted backups, conflict handling, and Team Pro PostgreSQL-backed storage belong. The important design rule: users own memory and can export it.'; + } + + if (/(price|pricing|cost|pay|billing|stripe|lemon|subscription|monthly|yearly)/.test(query)) { + return 'Pricing is not final yet. The current plan is simple: Solo Pro for individual developers, Team Pro for engineering teams. Join the waitlist so early users can shape pricing before the June launch.'; + } + + if (/(update|upgrade|curl|reinstall|version)/.test(query)) { + return 'Use `vestige update` for existing installs. The goal is that users should not need to keep copying curl commands just to stay current.'; + } + + if (/(privacy|local|cloud|telemetry|data|where.*stored|sqlite)/.test(query)) { + return 'Vestige core stores memory locally in SQLite and does not need a hosted memory service. Pro should add convenience around sync, backup, and teams without turning private local memory into a black box.'; + } + + if (/(support|bot|human|email|question|help|available|awake|discord)/.test(query)) { + return 'The support bot should answer common install, sync, plan, and onboarding questions instantly. Hard cases should escalate with context so a human teammate only handles the issues that actually need human judgment.'; + } + + if (/(waitlist|june|early|launch|invite|after)/.test(query)) { + return 'After you join the waitlist, the June early-access flow should invite you into the right lane: Solo Pro for personal memory, Team Pro for shared memory and admin controls. The bot will keep onboarding answers available while the launch scales.'; + } + + return 'I can help with install, updates, optional heavy models, Solo vs Team Pro, sync, backups, privacy, pricing, and support escalation. For now, the fastest next step is to join the waitlist and include your use case so the June onboarding can prioritize the right workflows.'; + } + + async function askSupportBot(event?: SubmitEvent, prompt?: string) { + event?.preventDefault(); + const question = (prompt ?? botQuestion).trim(); + if (!question || botBusy) return; + + botQuestion = ''; + botBusy = true; + botMessages = [...botMessages, { role: 'user', content: question }]; + + if (!supportBotEndpoint) { + botMessages = [...botMessages, { role: 'bot', content: localSupportAnswer(question) }]; + botBusy = false; + return; + } + + try { + const response = await fetch(supportBotEndpoint, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + question, + plan: role, + priority, + source: 'vestige-pro-waitlist', + history: botMessages.slice(-6) + }) + }); + if (!response.ok) throw new Error(`Support bot endpoint returned ${response.status}`); + const data = await response.json(); + botMessages = [ + ...botMessages, + { role: 'bot', content: String(data.answer ?? data.message ?? localSupportAnswer(question)) } + ]; + } catch { + botMessages = [ + ...botMessages, + { role: 'bot', content: localSupportAnswer(question) } + ]; + } finally { + botBusy = false; + } + } + + + + Vestige Pro Waitlist + + + +
            + + + +
            + + V + Vestige Pro + + +
            + +
            +
            +
            +

            June early access

            +

            Vestige Pro

            +

            + The paid layer for developers and teams who already trust Vestige as local memory for AI agents. + Sync, backups, team memory, and bot-assisted support come next. +

            + +
            + Join the waitlist + + View open source + +
            + +
            + {#each proofPoints as point} +
            + {point.value} + {point.label} +
            + {/each} +
            +
            + +
            +
            +

            Early access

            +

            Reserve a Pro seat

            +
            + + + + + + + + + + + + + + + + {#if submitMessage} +

            + {submitMessage} +

            + {/if} +
            +
            + +
            + {#each launchPillars as pillar} +
            {pillar}
            + {/each} +
            + +
            +
            +

            Why Pro exists

            +

            Two plans. One promise: agent memory you can depend on.

            +
            +
            + {#each proTracks as track} +
            +
            +

            {track.name}

            +

            {track.copy}

            +
            + {/each} +
            +
            + +
            +
            +

            Always-on answers

            +

            The support bot handles the first wave.

            +

            + This is the first support layer: instant onboarding answers before anyone has to write an email. + It can run locally from the FAQ now and call a hosted support endpoint later. +

            +
            +
            +
            + + Onboarding bot + {supportBotEndpoint ? 'Connected' : 'FAQ mode'} +
            + +
            + {#each botMessages as message} +
            + {#each message.content.split('\n') as line} +

            {line}

            + {/each} +
            + {/each} + {#if botBusy} +
            +

            Checking the onboarding notes...

            +
            + {/if} +
            + +
            + {#each supportPrompts as prompt} + + {/each} +
            + +
            + + +
            +
            +
            + +
            +
            +

            May to June

            +

            The plan is simple.

            +
            +
              +
            1. + May + Get Vestige into every MCP, Claude Code, Cursor, local AI, Rust, and self-hosted channel that cares about agent memory. +
              2. +
            2. + June + Invite the first Solo Pro and Team Pro users into sync, backups, shared memory, PostgreSQL-backed deployments, and bot-assisted support. +
              3. +
            3. + After + Use paid feedback to turn Vestige from a beloved local tool into durable agent-memory infrastructure. +
              4. +
            +
            +
            +
            + + diff --git a/crates/vestige-core/src/fts.rs b/crates/vestige-core/src/fts.rs index eae8ed8..efebb71 100644 --- a/crates/vestige-core/src/fts.rs +++ b/crates/vestige-core/src/fts.rs @@ -22,7 +22,8 @@ pub fn sanitize_fts5_terms(query: &str) -> Option { sanitized = sanitized .chars() .map(|c| match c { - '*' | ':' | '^' | '-' | '"' | '(' | ')' | '{' | '}' | '[' | ']' => ' ', + '*' | ':' | '^' | '-' | '"' | '(' | ')' | '{' | '}' | '[' | ']' | '.' | '/' | '\\' + | '=' | '@' => ' ', _ => c, }) .collect(); @@ -68,11 +69,13 @@ pub fn sanitize_fts5_query(query: &str) -> String { // Remove FTS5 special characters and operators let mut sanitized = limited.to_string(); - // Remove special characters: * : ^ - " ( ) + // Remove special characters: * : ^ - " ( ) and common identifier/path + // punctuation that FTS5 otherwise treats as syntax. sanitized = sanitized .chars() .map(|c| match c { - '*' | ':' | '^' | '-' | '"' | '(' | ')' | '{' | '}' | '[' | ']' => ' ', + '*' | ':' | '^' | '-' | '"' | '(' | ')' | '{' | '}' | '[' | ']' | '.' | '/' | '\\' + | '=' | '@' => ' ', _ => c, }) .collect(); diff --git a/crates/vestige-core/src/storage/migrations.rs b/crates/vestige-core/src/storage/migrations.rs index fae52ae..2c66a2d 100644 --- a/crates/vestige-core/src/storage/migrations.rs +++ b/crates/vestige-core/src/storage/migrations.rs @@ -64,6 +64,11 @@ pub const MIGRATIONS: &[Migration] = &[ description: "v2.1.1 Sync: tombstones for merge-capable portable storage", up: MIGRATION_V12_UP, }, + Migration { + version: 13, + description: "v2.1.2 Honest Memory: non-content purge tombstones", + up: MIGRATION_V13_UP, + }, ]; /// A database migration @@ -706,6 +711,30 @@ ON sync_tombstones(deleted_at); UPDATE schema_version SET version = 12, applied_at = datetime('now'); "#; +/// V13: non-content purge tombstones. +/// +/// `memory(action="purge")` permanently removes memory content and embeddings, +/// but keeps a content-free audit/sync record so users can verify that a memory +/// was removed without Vestige retaining the text it was told to forget. +const MIGRATION_V13_UP: &str = r#" +CREATE TABLE IF NOT EXISTS deletion_tombstones ( + memory_id TEXT PRIMARY KEY, + deleted_at TEXT NOT NULL, + reason TEXT, + node_type TEXT NOT NULL, + tags TEXT NOT NULL DEFAULT '[]', + edges_pruned INTEGER NOT NULL DEFAULT 0, + insights_rewritten INTEGER NOT NULL DEFAULT 0, + insights_deleted INTEGER NOT NULL DEFAULT 0, + children_orphaned INTEGER NOT NULL DEFAULT 0 +); + +CREATE INDEX IF NOT EXISTS idx_deletion_tombstones_deleted_at +ON deletion_tombstones(deleted_at); + +UPDATE schema_version SET version = 13, applied_at = datetime('now'); +"#; + /// Get current schema version from database pub fn get_current_version(conn: &rusqlite::Connection) -> rusqlite::Result { conn.query_row( @@ -755,17 +784,17 @@ mod tests { /// version after `apply_migrations` runs all migrations end-to-end, and /// neither of the dead tables V11 drops must exist afterwards. #[test] - fn test_apply_migrations_advances_to_v12_and_drops_dead_tables() { + fn test_apply_migrations_advances_to_v13_and_drops_dead_tables() { let conn = rusqlite::Connection::open_in_memory().expect("open in-memory"); // Pre-requisite: schema_version must be bootstrapped by V1. apply_migrations(&conn).expect("apply_migrations succeeds"); - // 1. schema_version advanced to V12 + // 1. schema_version advanced to V13 let version = get_current_version(&conn).expect("read schema_version"); assert_eq!( - version, 12, - "schema_version must be 12 after all migrations" + version, 13, + "schema_version must be 13 after all migrations" ); // 2. knowledge_edges is gone (V11 drops it) @@ -806,6 +835,19 @@ mod tests { sync_tombstone_rows, 1, "sync_tombstones table must be created by V12" ); + + // 5. deletion_tombstones exists (V13 creates it) + let deletion_tombstone_rows: i64 = conn + .query_row( + "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='deletion_tombstones'", + [], + |row| row.get(0), + ) + .expect("query sqlite_master"); + assert_eq!( + deletion_tombstone_rows, 1, + "deletion_tombstones table must be created by V13" + ); } /// V11 must be idempotent on replay — if the tables were already dropped @@ -827,6 +869,6 @@ mod tests { apply_migrations(&conn).expect("V11 replay must be idempotent"); let version = get_current_version(&conn).expect("read schema_version"); - assert_eq!(version, 12, "schema_version back at 12 after replay"); + assert_eq!(version, 13, "schema_version back at 13 after replay"); } } diff --git a/crates/vestige-core/src/storage/sqlite.rs b/crates/vestige-core/src/storage/sqlite.rs index ddc17dd..c89a31c 100644 --- a/crates/vestige-core/src/storage/sqlite.rs +++ b/crates/vestige-core/src/storage/sqlite.rs @@ -8,6 +8,7 @@ use directories::{BaseDirs, ProjectDirs}; use lru::LruCache; use rusqlite::types::{Type, Value, ValueRef}; use rusqlite::{Connection, OptionalExtension, params, params_from_iter}; +use std::collections::HashMap; use std::io::Write; #[cfg(all(feature = "embeddings", feature = "vector-search"))] use std::num::NonZeroUsize; @@ -199,6 +200,26 @@ pub struct PortableSyncReport { pub archive_format: String, } +/// Report returned by an irreversible content purge. +#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)] +#[serde(rename_all = "camelCase")] +pub struct PurgeReport { + /// Memory ID requested for purge. + pub memory_id: String, + /// Whether a live memory row was found and removed. + pub deleted: bool, + /// Non-content tombstone timestamp. + pub deleted_at: DateTime, + /// Number of graph edges removed by foreign-key cascade. + pub edges_pruned: i64, + /// Number of insight rows whose source list was rewritten. + pub insights_rewritten: i64, + /// Number of insight rows dropped because fewer than two source memories remained. + pub insights_deleted: i64, + /// Number of temporal-summary children detached from this parent. + pub children_orphaned: i64, +} + // ============================================================================ // STORAGE // ============================================================================ @@ -219,6 +240,7 @@ const PORTABLE_TABLES: &[&str] = &[ "dream_history", "retention_snapshots", "sync_tombstones", + "deletion_tombstones", ]; const PORTABLE_USER_DATA_TABLES: &[&str] = &[ @@ -236,6 +258,7 @@ const PORTABLE_USER_DATA_TABLES: &[&str] = &[ "dream_history", "retention_snapshots", "sync_tombstones", + "deletion_tombstones", ]; const DATA_DIR_ENV: &str = "VESTIGE_DATA_DIR"; @@ -1814,6 +1837,129 @@ impl Storage { Ok(rows > 0) } + /// Permanently purge a memory's content and embeddings. + /// + /// Unlike `delete_node`, purge also scrubs non-FK JSON references in + /// `insights.source_memories`, detaches temporal-summary children, and + /// writes a content-free deletion tombstone for audit/sync. + pub fn purge_node(&self, id: &str, reason: Option<&str>) -> Result { + let deleted_at = Utc::now(); + let mut writer = self + .writer + .lock() + .map_err(|_| StorageError::Init("Writer lock poisoned".into()))?; + let tx = writer.transaction()?; + + let node = tx + .prepare("SELECT * FROM knowledge_nodes WHERE id = ?1")? + .query_row(params![id], Self::row_to_node) + .optional()?; + + let Some(node) = node else { + return Ok(PurgeReport { + memory_id: id.to_string(), + deleted: false, + deleted_at, + edges_pruned: 0, + insights_rewritten: 0, + insights_deleted: 0, + children_orphaned: 0, + }); + }; + + let edges_pruned: i64 = tx.query_row( + "SELECT COUNT(*) FROM memory_connections WHERE source_id = ?1 OR target_id = ?1", + params![id], + |row| row.get(0), + )?; + + let insight_refs: Vec<(String, String)> = { + let mut stmt = tx.prepare( + "SELECT id, source_memories FROM insights WHERE source_memories LIKE ?1", + )?; + let pattern = format!("%{}%", id); + stmt.query_map(params![pattern], |row| Ok((row.get(0)?, row.get(1)?)))? + .filter_map(|row| row.ok()) + .collect() + }; + + let mut insights_rewritten = 0_i64; + let mut insights_deleted = 0_i64; + for (insight_id, source_json) in insight_refs { + let mut sources: Vec = serde_json::from_str(&source_json).unwrap_or_default(); + let before = sources.len(); + sources.retain(|source_id| source_id != id); + + if sources.len() == before { + continue; + } + + if sources.len() < 2 { + insights_deleted += + tx.execute("DELETE FROM insights WHERE id = ?1", params![insight_id])? as i64; + } else { + let rewritten = serde_json::to_string(&sources).unwrap_or_else(|_| "[]".into()); + insights_rewritten += tx.execute( + "UPDATE insights SET source_memories = ?1 WHERE id = ?2", + params![rewritten, insight_id], + )? as i64; + } + } + + let children_orphaned = tx.execute( + "UPDATE knowledge_nodes SET summary_parent_id = NULL WHERE summary_parent_id = ?1", + params![id], + )? as i64; + + let tags_json = serde_json::to_string(&node.tags).unwrap_or_else(|_| "[]".to_string()); + tx.execute( + "INSERT INTO deletion_tombstones ( + memory_id, deleted_at, reason, node_type, tags, + edges_pruned, insights_rewritten, insights_deleted, children_orphaned + ) + VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8, ?9) + ON CONFLICT(memory_id) DO UPDATE SET + deleted_at = excluded.deleted_at, + reason = excluded.reason, + node_type = excluded.node_type, + tags = excluded.tags, + edges_pruned = excluded.edges_pruned, + insights_rewritten = excluded.insights_rewritten, + insights_deleted = excluded.insights_deleted, + children_orphaned = excluded.children_orphaned", + params![ + id, + deleted_at.to_rfc3339(), + reason, + node.node_type, + tags_json, + edges_pruned, + insights_rewritten, + insights_deleted, + children_orphaned, + ], + )?; + + Self::record_sync_tombstone(&tx, "knowledge_nodes", id, "purge_node")?; + tx.execute("DELETE FROM knowledge_nodes WHERE id = ?1", params![id])?; + tx.commit()?; + + #[cfg(all(feature = "embeddings", feature = "vector-search"))] + if let Ok(mut index) = self.vector_index.lock() { + let _ = index.remove(id); + } + + Ok(PurgeReport { + memory_id: id.to_string(), + deleted: true, + deleted_at, + edges_pruned, + insights_rewritten, + insights_deleted, + children_orphaned, + }) + } + fn node_exists(conn: &Connection, id: &str) -> Result { let count: i64 = conn.query_row( "SELECT COUNT(*) FROM knowledge_nodes WHERE id = ?1", @@ -1897,6 +2043,202 @@ impl Storage { Ok(result) } + /// Concrete keyword/literal search that skips semantic expansion and + /// cognitive reranking. + /// + /// This path is for identifiers, paths, quoted strings, env vars, UUIDs, + /// and other exact user intent where "close enough" is wrong. + pub fn concrete_search_filtered( + &self, + query: &str, + limit: i32, + include_types: Option<&[String]>, + exclude_types: Option<&[String]>, + ) -> Result> { + let literal = Self::normalize_literal_query(query); + if literal.is_empty() { + return Ok(vec![]); + } + + let limit = limit.max(1) as usize; + let fetch_limit = ((limit * 10).min(500)) as i32; + let mut by_id: HashMap = HashMap::new(); + + if let Some(terms) = crate::fts::sanitize_fts5_terms(&literal) { + let reader = self + .reader + .lock() + .map_err(|_| StorageError::Init("Reader lock poisoned".into()))?; + let mut stmt = reader.prepare( + "SELECT n.*, rank AS fts_rank FROM knowledge_nodes n + JOIN knowledge_fts fts ON n.id = fts.id + WHERE knowledge_fts MATCH ?1 + ORDER BY rank + LIMIT ?2", + )?; + + let rows = stmt.query_map(params![terms, fetch_limit], |row| { + let node = Self::row_to_node(row)?; + let rank = row.get::<_, f64>("fts_rank").unwrap_or(0.0); + Ok((node, rank)) + })?; + + for (idx, row) in rows.enumerate() { + let (node, rank) = row?; + if !Self::node_matches_type_filters(&node, include_types, exclude_types) { + continue; + } + let base_score = (1.0 / (idx as f32 + 1.0)).max((-rank as f32).max(0.0)); + Self::upsert_concrete_result(&mut by_id, node, base_score, Some(base_score)); + } + } + + let escaped = Self::escape_like(&literal.to_lowercase()); + let pattern = format!("%{}%", escaped); + let prefix_pattern = format!("{}%", escaped); + { + let reader = self + .reader + .lock() + .map_err(|_| StorageError::Init("Reader lock poisoned".into()))?; + let mut stmt = reader.prepare( + "SELECT n.* FROM knowledge_nodes n + WHERE lower(n.id) = ?2 + OR lower(n.content) LIKE ?1 ESCAPE '\\' + OR lower(COALESCE(n.source, '')) LIKE ?1 ESCAPE '\\' + OR lower(n.tags) LIKE ?1 ESCAPE '\\' + ORDER BY + CASE + WHEN lower(n.id) = ?2 THEN 0 + WHEN lower(n.content) = ?2 THEN 1 + WHEN lower(n.content) LIKE ?3 ESCAPE '\\' THEN 2 + ELSE 3 + END, + n.updated_at DESC + LIMIT ?4", + )?; + + let rows = stmt.query_map( + params![pattern, literal.to_lowercase(), prefix_pattern, fetch_limit], + Self::row_to_node, + )?; + + for row in rows { + let node = row?; + if !Self::node_matches_type_filters(&node, include_types, exclude_types) { + continue; + } + if let Some(score) = Self::literal_match_score(&literal, &node) { + Self::upsert_concrete_result(&mut by_id, node, score, Some(score)); + } + } + } + + let mut results: Vec = by_id.into_values().collect(); + results.sort_by(|a, b| { + b.combined_score + .partial_cmp(&a.combined_score) + .unwrap_or(std::cmp::Ordering::Equal) + .then_with(|| b.node.updated_at.cmp(&a.node.updated_at)) + }); + results.truncate(limit); + Ok(results) + } + + fn upsert_concrete_result( + by_id: &mut HashMap, + node: KnowledgeNode, + score: f32, + keyword_score: Option, + ) { + by_id + .entry(node.id.clone()) + .and_modify(|existing| { + existing.combined_score = existing.combined_score.max(score); + existing.keyword_score = match (existing.keyword_score, keyword_score) { + (Some(a), Some(b)) => Some(a.max(b)), + (None, Some(b)) => Some(b), + (a, None) => a, + }; + }) + .or_insert(SearchResult { + node, + keyword_score, + semantic_score: None, + combined_score: score, + match_type: MatchType::Keyword, + }); + } + + fn normalize_literal_query(query: &str) -> String { + let trimmed = query.trim(); + if trimmed.len() >= 2 { + let bytes = trimmed.as_bytes(); + let quoted = (bytes[0] == b'"' && bytes[bytes.len() - 1] == b'"') + || (bytes[0] == b'\'' && bytes[bytes.len() - 1] == b'\''); + if quoted { + return trimmed[1..trimmed.len() - 1].trim().to_string(); + } + } + trimmed.to_string() + } + + fn escape_like(value: &str) -> String { + let mut escaped = String::with_capacity(value.len()); + for ch in value.chars() { + match ch { + '\\' | '%' | '_' => { + escaped.push('\\'); + escaped.push(ch); + } + _ => escaped.push(ch), + } + } + escaped + } + + fn literal_match_score(query: &str, node: &KnowledgeNode) -> Option { + let q = query.to_lowercase(); + let content = node.content.to_lowercase(); + let tags = node.tags.join(" ").to_lowercase(); + let source = node.source.as_deref().unwrap_or("").to_lowercase(); + let id = node.id.to_lowercase(); + + if id == q { + Some(3.0) + } else if content == q { + Some(2.5) + } else if content.starts_with(&q) { + Some(2.0) + } else if content.contains(&q) { + Some(1.6) + } else if source.contains(&q) { + Some(1.4) + } else if tags.contains(&q) { + Some(1.2) + } else { + None + } + } + + fn node_matches_type_filters( + node: &KnowledgeNode, + include_types: Option<&[String]>, + exclude_types: Option<&[String]>, + ) -> bool { + if let Some(includes) = include_types + && !includes.is_empty() + { + return includes.iter().any(|t| t == &node.node_type); + } + if let Some(excludes) = exclude_types + && !excludes.is_empty() + { + return !excludes.iter().any(|t| t == &node.node_type); + } + true + } + /// Get all nodes (paginated) pub fn get_all_nodes(&self, limit: i32, offset: i32) -> Result> { let reader = self @@ -6298,4 +6640,169 @@ mod tests { assert!(!results.is_empty()); assert!(results[0].node.content.contains("Neurons")); } + + #[test] + fn test_concrete_search_literal_identifier_lands_first() { + let storage = create_test_storage(); + + storage + .ingest(IngestInput { + content: "General OpenAI API setup notes without the exact env var".to_string(), + node_type: "fact".to_string(), + ..Default::default() + }) + .unwrap(); + let target = storage + .ingest(IngestInput { + content: "Set OPENAI_API_KEY before running the release smoke tests".to_string(), + node_type: "fact".to_string(), + ..Default::default() + }) + .unwrap(); + storage + .ingest(IngestInput { + content: "API keys should be handled carefully in shell profiles".to_string(), + node_type: "fact".to_string(), + ..Default::default() + }) + .unwrap(); + + let results = storage + .concrete_search_filtered("OPENAI_API_KEY", 10, None, None) + .unwrap(); + + assert!(!results.is_empty()); + assert_eq!(results[0].node.id, target.id); + assert_eq!(results[0].match_type, MatchType::Keyword); + assert!(results[0].semantic_score.is_none()); + } + + #[test] + fn test_purge_scrubs_insight_json_orphans_children_and_writes_tombstone() { + let storage = create_test_storage(); + let doomed = storage + .ingest(IngestInput { + content: "Sensitive purge target memory".to_string(), + node_type: "fact".to_string(), + tags: vec!["sensitive".to_string()], + ..Default::default() + }) + .unwrap(); + let other_a = storage + .ingest(IngestInput { + content: "Other source memory A".to_string(), + node_type: "fact".to_string(), + ..Default::default() + }) + .unwrap(); + let other_b = storage + .ingest(IngestInput { + content: "Other source memory B".to_string(), + node_type: "fact".to_string(), + ..Default::default() + }) + .unwrap(); + let child = storage + .ingest(IngestInput { + content: "Temporal summary child".to_string(), + node_type: "summary".to_string(), + ..Default::default() + }) + .unwrap(); + + { + let writer = storage.writer.lock().unwrap(); + writer + .execute( + "INSERT INTO memory_connections ( + source_id, target_id, strength, link_type, created_at, last_activated, activation_count + ) VALUES (?1, ?2, 0.9, 'semantic', ?3, ?3, 0)", + params![doomed.id, other_a.id, Utc::now().to_rfc3339()], + ) + .unwrap(); + writer + .execute( + "INSERT INTO insights ( + id, insight, source_memories, confidence, novelty_score, insight_type, generated_at + ) VALUES (?1, 'drop me', ?2, 0.9, 0.2, 'synthesis', ?3)", + params![ + Uuid::new_v4().to_string(), + serde_json::to_string(&vec![doomed.id.clone(), other_a.id.clone()]).unwrap(), + Utc::now().to_rfc3339() + ], + ) + .unwrap(); + writer + .execute( + "INSERT INTO insights ( + id, insight, source_memories, confidence, novelty_score, insight_type, generated_at + ) VALUES (?1, 'rewrite me', ?2, 0.9, 0.2, 'synthesis', ?3)", + params![ + Uuid::new_v4().to_string(), + serde_json::to_string(&vec![ + doomed.id.clone(), + other_a.id.clone(), + other_b.id.clone() + ]) + .unwrap(), + Utc::now().to_rfc3339() + ], + ) + .unwrap(); + writer + .execute( + "UPDATE knowledge_nodes SET summary_parent_id = ?1 WHERE id = ?2", + params![doomed.id, child.id], + ) + .unwrap(); + } + + let report = storage + .purge_node(&doomed.id, Some("user requested hard purge")) + .unwrap(); + assert!(report.deleted); + assert_eq!(report.edges_pruned, 1); + assert_eq!(report.insights_deleted, 1); + assert_eq!(report.insights_rewritten, 1); + assert_eq!(report.children_orphaned, 1); + assert!(storage.get_node(&doomed.id).unwrap().is_none()); + + let writer = storage.writer.lock().unwrap(); + let remaining_refs: Vec = writer + .prepare("SELECT source_memories FROM insights") + .unwrap() + .query_map([], |row| row.get(0)) + .unwrap() + .filter_map(|row| row.ok()) + .collect(); + assert_eq!(remaining_refs.len(), 1); + assert!(!remaining_refs[0].contains(&doomed.id)); + + let child_parent: Option = writer + .query_row( + "SELECT summary_parent_id FROM knowledge_nodes WHERE id = ?1", + params![child.id], + |row| row.get(0), + ) + .unwrap(); + assert!(child_parent.is_none()); + + let tombstone_count: i64 = writer + .query_row( + "SELECT COUNT(*) FROM deletion_tombstones WHERE memory_id = ?1 AND reason = ?2", + params![doomed.id, "user requested hard purge"], + |row| row.get(0), + ) + .unwrap(); + assert_eq!(tombstone_count, 1); + + let has_content_column: i64 = writer + .query_row( + "SELECT COUNT(*) FROM pragma_table_info('deletion_tombstones') WHERE name = 'content'", + [], + |row| row.get(0), + ) + .unwrap(); + assert_eq!(has_content_column, 0); + } } diff --git a/crates/vestige-mcp/src/server.rs b/crates/vestige-mcp/src/server.rs index 00c2bdd..6f3fd65 100644 --- a/crates/vestige-mcp/src/server.rs +++ b/crates/vestige-mcp/src/server.rs @@ -31,11 +31,9 @@ use vestige_core::Storage; /// Vestige without imposing one maintainer's workflow on strangers. /// /// The "full" variant is the composition mandate that enforces the -/// Composing / Never-composed / Recommendation response shape, names the -/// AIMO3 36/50 case study as the origin, and includes the "Vestige is -/// blocking this:" refusal phrase. It is load-bearing for Sam's own -/// decision-adjacent work but would misfire on trivial retrievals for a -/// general audience, so it is opt-in via `VESTIGE_SYSTEM_PROMPT_MODE=full`. +/// Composing / Never-composed / Recommendation response shape. It can misfire +/// on trivial retrievals for a general audience, so it is opt-in via +/// `VESTIGE_SYSTEM_PROMPT_MODE=full`. /// /// Anything other than `full` falls back to minimal. fn build_instructions() -> String { @@ -209,7 +207,7 @@ impl McpServer { /// Handle tools/list request async fn handle_tools_list(&self) -> Result { - // v2.0.5+: 24 tools (verified by the `tools.len() == 24` assertion in the + // v2.1.2+: 25 tools (verified by the `tools.len() == 25` assertion in the // handle_tools_list test below — the `suppress` tool landed in v2.0.5). // Deprecated tools still work via redirects in handle_tools_call. let tools = vec![ @@ -223,7 +221,7 @@ impl McpServer { }, ToolDescription { name: "memory".to_string(), - description: Some("Unified memory management tool. Actions: 'get' (retrieve full node), 'delete' (remove memory), 'state' (get accessibility state), 'promote' (thumbs up — increases retrieval strength), 'demote' (thumbs down — decreases retrieval strength, does NOT delete), 'edit' (update content in-place, preserves FSRS state).".to_string()), + description: Some("Unified memory management tool. Actions: 'get' (retrieve full node), 'purge' (irreversibly remove content/embeddings with confirm=true), 'delete' (legacy alias for purge), 'state' (get accessibility state), 'promote' (thumbs up — increases retrieval strength), 'demote' (thumbs down — decreases retrieval strength, does NOT delete), 'edit' (update content in-place, preserves FSRS state).".to_string()), input_schema: tools::memory_unified::schema(), }, ToolDescription { @@ -358,6 +356,11 @@ impl McpServer { description: Some("Alias for deep_reference. Connect the dots across memories with cognitive reasoning.".to_string()), input_schema: tools::cross_reference::schema(), }, + ToolDescription { + name: "contradictions".to_string(), + description: Some("Inspect memory disagreements directly. Scans a topic or recent memories for trust-weighted contradiction pairs using the same local logic as deep_reference.".to_string()), + input_schema: tools::contradictions::schema(), + }, // ================================================================ // ACTIVE FORGETTING (v2.0.5) — top-down suppression // Anderson et al. 2025 Nat Rev Neurosci + Davis Rac1 @@ -832,6 +835,9 @@ impl McpServer { tools::cross_reference::execute(&self.storage, &self.cognitive, request.arguments) .await } + "contradictions" => { + tools::contradictions::execute(&self.storage, request.arguments).await + } // ================================================================ // ACTIVE FORGETTING (v2.0.5) — top-down suppression @@ -1164,7 +1170,7 @@ impl McpServer { .unwrap_or("") .to_string(); match action { - "delete" => { + "delete" | "purge" => { self.emit(VestigeEvent::MemoryDeleted { id, timestamp: now }); } "promote" => { @@ -1505,8 +1511,8 @@ mod tests { let result = response.result.unwrap(); let tools = result["tools"].as_array().unwrap(); - // v2.0.5: 24 tools (4 unified + 1 core + 2 temporal + 5 maintenance + 2 auto-save + 3 cognitive + 1 restore + 1 session_context + 2 autonomic + 1 deep_reference + 1 cross_reference alias + 1 suppress) - assert_eq!(tools.len(), 24, "Expected exactly 24 tools in v2.0.5+"); + // v2.1.2: 25 tools (adds first-class contradictions surface) + assert_eq!(tools.len(), 25, "Expected exactly 25 tools in v2.1.2+"); let tool_names: Vec<&str> = tools.iter().map(|t| t["name"].as_str().unwrap()).collect(); @@ -1576,6 +1582,7 @@ mod tests { // Deep reference + cross_reference alias (v2.0.4) assert!(tool_names.contains(&"deep_reference")); assert!(tool_names.contains(&"cross_reference")); + assert!(tool_names.contains(&"contradictions")); // Active forgetting (v2.0.5) — Anderson 2025 + Davis Rac1 assert!(tool_names.contains(&"suppress")); diff --git a/crates/vestige-mcp/src/tools/contradictions.rs b/crates/vestige-mcp/src/tools/contradictions.rs new file mode 100644 index 0000000..33c0038 --- /dev/null +++ b/crates/vestige-mcp/src/tools/contradictions.rs @@ -0,0 +1,213 @@ +//! First-class contradiction surface. +//! +//! `deep_reference` already computes trust-weighted contradiction pairs while +//! answering a specific question. This tool exposes the same local logic as an +//! inspectable memory-health operation. + +use chrono::{DateTime, Utc}; +use serde::Deserialize; +use serde_json::Value; +use std::sync::Arc; + +use crate::tools::cross_reference::{appears_contradictory, compute_trust, topic_overlap}; +use vestige_core::{KnowledgeNode, Storage}; + +pub fn schema() -> Value { + serde_json::json!({ + "type": "object", + "properties": { + "topic": { + "type": "string", + "description": "Optional topic/query to scope contradiction detection. If omitted, scans recent memories." + }, + "since": { + "type": "string", + "description": "Optional RFC3339 timestamp; only memories updated after this time are considered." + }, + "min_trust": { + "type": "number", + "description": "Minimum trust score for both sides of a contradiction.", + "minimum": 0.0, + "maximum": 1.0, + "default": 0.3 + }, + "limit": { + "type": "integer", + "description": "Maximum memories to analyze before pairwise contradiction detection.", + "minimum": 2, + "maximum": 200, + "default": 50 + } + } + }) +} + +#[derive(Debug, Deserialize)] +#[serde(rename_all = "camelCase")] +struct ContradictionArgs { + topic: Option, + since: Option, + #[serde(alias = "min_trust")] + min_trust: Option, + limit: Option, +} + +pub async fn execute(storage: &Arc, args: Option) -> Result { + let args: ContradictionArgs = match args { + Some(value) => { + serde_json::from_value(value).map_err(|e| format!("Invalid arguments: {}", e))? + } + None => ContradictionArgs { + topic: None, + since: None, + min_trust: None, + limit: None, + }, + }; + + let limit = args.limit.unwrap_or(50).clamp(2, 200); + let min_trust = args.min_trust.unwrap_or(0.3).clamp(0.0, 1.0); + let since = match args.since.as_deref() { + Some(raw) => Some( + DateTime::parse_from_rfc3339(raw) + .map_err(|e| format!("Invalid since timestamp: {}", e))? + .with_timezone(&Utc), + ), + None => None, + }; + + let mut memories = if let Some(topic) = args.topic.as_deref().filter(|s| !s.trim().is_empty()) { + storage + .hybrid_search(topic, limit, 0.3, 0.7) + .map_err(|e| e.to_string())? + .into_iter() + .map(|result| result.node) + .collect::>() + } else { + storage.get_all_nodes(limit, 0).map_err(|e| e.to_string())? + }; + + if let Some(since) = since { + memories.retain(|memory| memory.updated_at >= since); + } + + let contradictions = find_contradictions(&memories, min_trust); + + Ok(serde_json::json!({ + "topic": args.topic, + "memoriesAnalyzed": memories.len(), + "minTrust": min_trust, + "contradictionsFound": contradictions.len(), + "contradictions": contradictions, + })) +} + +fn find_contradictions(memories: &[KnowledgeNode], min_trust: f64) -> Vec { + let mut contradictions = Vec::new(); + + for i in 0..memories.len() { + for j in (i + 1)..memories.len() { + let a = &memories[i]; + let b = &memories[j]; + let overlap = topic_overlap(&a.content, &b.content); + if overlap < 0.4 || !appears_contradictory(&a.content, &b.content) { + continue; + } + + let a_trust = trust_for(a); + let b_trust = trust_for(b); + if a_trust.min(b_trust) < min_trust { + continue; + } + + let (stronger, stronger_trust, weaker, weaker_trust) = if a_trust >= b_trust { + (a, a_trust, b, b_trust) + } else { + (b, b_trust, a, a_trust) + }; + + contradictions.push(serde_json::json!({ + "stronger": memory_card(stronger, stronger_trust), + "weaker": memory_card(weaker, weaker_trust), + "topicOverlap": overlap, + })); + } + } + + contradictions.sort_by(|a, b| { + let a_overlap = a["topicOverlap"].as_f64().unwrap_or(0.0); + let b_overlap = b["topicOverlap"].as_f64().unwrap_or(0.0); + b_overlap + .partial_cmp(&a_overlap) + .unwrap_or(std::cmp::Ordering::Equal) + }); + contradictions +} + +fn trust_for(memory: &KnowledgeNode) -> f64 { + compute_trust( + memory.retention_strength, + memory.stability, + memory.reps, + memory.lapses, + ) +} + +fn memory_card(memory: &KnowledgeNode, trust: f64) -> Value { + serde_json::json!({ + "id": memory.id.clone(), + "preview": memory.content.chars().take(200).collect::(), + "trust": (trust * 100.0).round() / 100.0, + "updatedAt": memory.updated_at.to_rfc3339(), + "tags": memory.tags.clone(), + }) +} + +#[cfg(test)] +mod tests { + use super::*; + use tempfile::TempDir; + use vestige_core::IngestInput; + + async fn test_storage() -> (Arc, TempDir) { + let dir = TempDir::new().unwrap(); + let storage = Storage::new(Some(dir.path().join("test.db"))).unwrap(); + (Arc::new(storage), dir) + } + + #[tokio::test] + async fn test_contradictions_reports_conflicting_memories() { + let (storage, _dir) = test_storage().await; + storage + .ingest(IngestInput { + content: + "For the release workflow we always run cargo test before publishing Vestige" + .to_string(), + node_type: "fact".to_string(), + ..Default::default() + }) + .unwrap(); + storage + .ingest(IngestInput { + content: + "Correction: for the release workflow we never run cargo test before publishing Vestige" + .to_string(), + node_type: "fact".to_string(), + ..Default::default() + }) + .unwrap(); + + let result = execute( + &storage, + Some(serde_json::json!({ + "topic": "release workflow cargo test Vestige", + "min_trust": 0.0 + })), + ) + .await + .unwrap(); + + assert_eq!(result["contradictionsFound"], 1); + assert!(result["contradictions"][0]["stronger"]["id"].is_string()); + } +} diff --git a/crates/vestige-mcp/src/tools/cross_reference.rs b/crates/vestige-mcp/src/tools/cross_reference.rs index de58994..e1a9128 100644 --- a/crates/vestige-mcp/src/tools/cross_reference.rs +++ b/crates/vestige-mcp/src/tools/cross_reference.rs @@ -58,7 +58,7 @@ struct DeepRefArgs { /// Compute trust score from FSRS-6 memory state. /// Higher = more trustworthy (frequently accessed, high retention, stable, few lapses). -fn compute_trust(retention: f64, stability: f64, reps: i32, lapses: i32) -> f64 { +pub(crate) fn compute_trust(retention: f64, stability: f64, reps: i32, lapses: i32) -> f64 { let retention_factor = retention * 0.4; let stability_factor = (stability / 30.0).min(1.0) * 0.2; let reps_factor = (reps as f64 / 10.0).min(1.0) * 0.2; @@ -384,7 +384,7 @@ const CORRECTION_SIGNALS: &[&str] = &[ "migrated to", ]; -fn appears_contradictory(a: &str, b: &str) -> bool { +pub(crate) fn appears_contradictory(a: &str, b: &str) -> bool { let a_lower = a.to_lowercase(); let b_lower = b.to_lowercase(); @@ -435,7 +435,7 @@ fn appears_contradictory(a: &str, b: &str) -> bool { false } -fn topic_overlap(a: &str, b: &str) -> f32 { +pub(crate) fn topic_overlap(a: &str, b: &str) -> f32 { let a_lower = a.to_lowercase(); let b_lower = b.to_lowercase(); let a_words: std::collections::HashSet<&str> = @@ -689,10 +689,10 @@ pub async fn execute( // it contains at least one of these terms. This catches the class of bug // where a high-trust, semantically-adjacent memory from an unrelated // domain beats the actual topic memory because the cross-encoder reranker - // over-weights token-level similarity (e.g. a Nightvision memory about - // "true positives + conservative thresholds" winning an "FSRS-6 trust + // over-weights token-level similarity (e.g. an unrelated security memory + // about "true positives + conservative thresholds" winning an "FSRS-6 trust // scoring" query because "trust" + "scoring" + "threshold" cluster in - // embedding space — even though the winning memory contains neither + // embedding space, even though the winning memory contains neither // "FSRS-6" nor anything about spaced repetition). const TOPIC_STOPWORDS: &[&str] = &[ "how", "what", "when", "where", "why", "who", "which", "does", "did", "is", "are", "was", @@ -1162,7 +1162,7 @@ mod tests { QueryIntent::Timeline ); assert_eq!( - classify_intent("How has the AIMO3 score evolved over time?"), + classify_intent("How has the benchmark score evolved over time?"), QueryIntent::Timeline ); } @@ -1194,7 +1194,7 @@ mod tests { #[test] fn test_intent_synthesis_default() { assert_eq!( - classify_intent("Tell me about Sam's projects"), + classify_intent("Tell me about the user's projects"), QueryIntent::Synthesis ); assert_eq!(classify_intent("What is Vestige?"), QueryIntent::Synthesis); diff --git a/crates/vestige-mcp/src/tools/dedup.rs b/crates/vestige-mcp/src/tools/dedup.rs index ec93721..ea3da25 100644 --- a/crates/vestige-mcp/src/tools/dedup.rs +++ b/crates/vestige-mcp/src/tools/dedup.rs @@ -288,6 +288,7 @@ mod tests { } #[test] + #[cfg(all(feature = "embeddings", feature = "vector-search"))] fn test_union_find() { let mut uf = UnionFind::new(5); uf.union(0, 1); diff --git a/crates/vestige-mcp/src/tools/memory_unified.rs b/crates/vestige-mcp/src/tools/memory_unified.rs index 2d73b6b..e524ac4 100644 --- a/crates/vestige-mcp/src/tools/memory_unified.rs +++ b/crates/vestige-mcp/src/tools/memory_unified.rs @@ -43,8 +43,8 @@ pub fn schema() -> Value { "properties": { "action": { "type": "string", - "enum": ["get", "get_batch", "delete", "state", "promote", "demote", "edit"], - "description": "Action to perform: 'get' retrieves full memory node, 'get_batch' retrieves multiple memories by IDs (use 'ids' array), 'delete' removes memory, 'state' returns accessibility state, 'promote' increases retrieval strength (thumbs up), 'demote' decreases retrieval strength (thumbs down), 'edit' updates content in-place (preserves FSRS state)" + "enum": ["get", "get_batch", "delete", "purge", "state", "promote", "demote", "edit"], + "description": "Action to perform: 'get' retrieves full memory node, 'get_batch' retrieves multiple memories by IDs (use 'ids' array), 'purge' permanently removes memory content and embeddings after confirm=true, 'delete' is a backwards-compatible alias for purge, 'state' returns accessibility state, 'promote' increases retrieval strength (thumbs up), 'demote' decreases retrieval strength (thumbs down), 'edit' updates content in-place (preserves FSRS state)" }, "id": { "type": "string", @@ -57,7 +57,12 @@ pub fn schema() -> Value { }, "reason": { "type": "string", - "description": "Why this memory is being promoted/demoted (optional, for logging). Only used with promote/demote actions." + "description": "Why this memory is being promoted/demoted/purged (optional, for logging)." + }, + "confirm": { + "type": "boolean", + "description": "Required for action='purge'. Purge permanently removes memory content and embeddings; only a non-content tombstone remains.", + "default": false }, "content": { "type": "string", @@ -75,6 +80,7 @@ struct MemoryArgs { id: Option, ids: Option>, reason: Option, + confirm: Option, content: Option, } @@ -110,13 +116,23 @@ pub async fn execute( match args.action.as_str() { "get" => execute_get(storage, &id).await, - "delete" => execute_delete(storage, &id).await, + "delete" => execute_purge(storage, &id, args.reason, true, "delete").await, + "purge" => { + execute_purge( + storage, + &id, + args.reason, + args.confirm.unwrap_or(false), + "purge", + ) + .await + } "state" => execute_state(storage, &id).await, "promote" => execute_promote(storage, cognitive, &id, args.reason).await, "demote" => execute_demote(storage, cognitive, &id, args.reason).await, "edit" => execute_edit(storage, &id, args.content).await, _ => Err(format!( - "Invalid action '{}'. Must be one of: get, get_batch, delete, state, promote, demote, edit", + "Invalid action '{}'. Must be one of: get, get_batch, delete, purge, state, promote, demote, edit", args.action )), } @@ -205,15 +221,39 @@ async fn execute_get_batch(storage: &Arc, ids: &[String]) -> Result, id: &str) -> Result { - let deleted = storage.delete_node(id).map_err(|e| e.to_string())?; +/// Permanently purge a memory and return cleanup details. +async fn execute_purge( + storage: &Arc, + id: &str, + reason: Option, + confirm: bool, + action: &str, +) -> Result { + if !confirm { + return Err( + "Purge is irreversible. Pass confirm=true to permanently remove memory content and embeddings." + .to_string(), + ); + } + + let report = storage + .purge_node(id, reason.as_deref()) + .map_err(|e| e.to_string())?; Ok(serde_json::json!({ - "action": "delete", - "success": deleted, + "action": action, + "success": report.deleted, "nodeId": id, - "message": if deleted { "Memory deleted successfully" } else { "Memory not found" }, + "message": if report.deleted { + "Memory purged permanently; content and embeddings removed. Non-content tombstone retained for sync/audit." + } else { + "Memory not found" + }, + "deletedAt": report.deleted_at.to_rfc3339(), + "edgesPruned": report.edges_pruned, + "insightsRewritten": report.insights_rewritten, + "insightsDeleted": report.insights_deleted, + "childrenOrphaned": report.children_orphaned, })) } @@ -469,13 +509,15 @@ mod tests { assert!(schema["properties"]["reason"].is_object()); assert_eq!(schema["required"], serde_json::json!(["action"])); assert!(schema["properties"]["ids"].is_object()); // get_batch support - // Verify all 7 actions are in enum + // Verify all 8 actions are in enum let actions = schema["properties"]["action"]["enum"].as_array().unwrap(); - assert_eq!(actions.len(), 7); + assert_eq!(actions.len(), 8); assert!(actions.contains(&serde_json::json!("get_batch"))); + assert!(actions.contains(&serde_json::json!("purge"))); assert!(actions.contains(&serde_json::json!("edit"))); assert!(actions.contains(&serde_json::json!("promote"))); assert!(actions.contains(&serde_json::json!("demote"))); + assert!(schema["properties"]["confirm"].is_object()); } // === INTEGRATION TESTS === @@ -609,6 +651,42 @@ mod tests { assert_eq!(value["found"], false); } + #[tokio::test] + async fn test_purge_requires_confirm() { + let (storage, _dir) = test_storage().await; + let id = ingest_memory(&storage).await; + let args = serde_json::json!({ "action": "purge", "id": id.clone() }); + let result = execute(&storage, &test_cognitive(), Some(args)).await; + assert!(result.is_err()); + assert!(result.unwrap_err().contains("confirm=true")); + assert!(storage.get_node(&id).unwrap().is_some()); + } + + #[tokio::test] + async fn test_purge_existing_memory() { + let (storage, _dir) = test_storage().await; + let id = ingest_memory(&storage).await; + let args = serde_json::json!({ + "action": "purge", + "id": id, + "confirm": true, + "reason": "test cleanup" + }); + let result = execute(&storage, &test_cognitive(), Some(args)).await; + assert!(result.is_ok()); + let value = result.unwrap(); + assert_eq!(value["action"], "purge"); + assert_eq!(value["success"], true); + assert!( + value["message"] + .as_str() + .unwrap() + .contains("purged permanently") + ); + assert_eq!(value["edgesPruned"], 0); + assert!(storage.get_node(&id).unwrap().is_none()); + } + #[tokio::test] async fn test_state_existing_memory() { let (storage, _dir) = test_storage().await; diff --git a/crates/vestige-mcp/src/tools/mod.rs b/crates/vestige-mcp/src/tools/mod.rs index b1331cf..260869e 100644 --- a/crates/vestige-mcp/src/tools/mod.rs +++ b/crates/vestige-mcp/src/tools/mod.rs @@ -38,6 +38,7 @@ pub mod graph; pub mod health; // v2.1: Cross-reference (connect the dots) +pub mod contradictions; pub mod cross_reference; // v2.0.5: Active Forgetting — Anderson 2025 + Davis Rac1 diff --git a/crates/vestige-mcp/src/tools/search_unified.rs b/crates/vestige-mcp/src/tools/search_unified.rs index d467e38..9faf961 100644 --- a/crates/vestige-mcp/src/tools/search_unified.rs +++ b/crates/vestige-mcp/src/tools/search_unified.rs @@ -87,6 +87,11 @@ pub fn schema() -> Value { "description": "precise: top results only (fast, token-efficient, skips activation/competition). balanced: full 7-stage cognitive pipeline (default). exhaustive: maximum recall with 5x overfetch, deep graph traversal, no competition suppression.", "enum": ["precise", "balanced", "exhaustive"], "default": "balanced" + }, + "concrete": { + "type": "boolean", + "description": "Force literal/concrete search. Skips semantic expansion, FSRS reweighting, spreading activation, and cognitive side effects. Auto-enabled for quoted strings, env vars, UUIDs, paths, and code identifiers.", + "default": false } }, "required": ["query"] @@ -114,6 +119,7 @@ struct SearchArgs { token_budget: Option, #[serde(alias = "retrieval_mode")] retrieval_mode: Option, + concrete: Option, } /// Execute unified search with 7-stage cognitive pipeline. @@ -173,6 +179,78 @@ pub async fn execute( } }; + let concrete = args + .concrete + .unwrap_or_else(|| is_literal_query(&args.query)); + if concrete { + let results = storage + .concrete_search_filtered( + &args.query, + limit, + args.include_types.as_deref(), + args.exclude_types.as_deref(), + ) + .map_err(|e| e.to_string())?; + + let ids: Vec<&str> = results.iter().map(|r| r.node.id.as_str()).collect(); + let _ = storage.strengthen_batch_on_access(&ids); + + let mut formatted: Vec = results + .iter() + .filter(|r| r.node.retention_strength >= min_retention) + .map(|r| format_search_result(r, detail_level)) + .collect(); + + let mut budget_expandable: Vec = Vec::new(); + let mut budget_tokens_used: Option = None; + if let Some(budget) = args.token_budget { + let budget = budget.clamp(100, 100000) as usize; + let budget_chars = budget * 4; + let mut used = 0; + let mut budgeted = Vec::new(); + + for result in &formatted { + let size = serde_json::to_string(result).unwrap_or_default().len(); + if used + size > budget_chars { + if let Some(id) = result.get("id").and_then(|v| v.as_str()) { + budget_expandable.push(id.to_string()); + } + continue; + } + used += size; + budgeted.push(result.clone()); + } + + budget_tokens_used = Some(used / 4); + formatted = budgeted; + } + + let mut response = serde_json::json!({ + "query": args.query, + "method": "concrete", + "retrievalMode": retrieval_mode, + "concrete": true, + "detailLevel": detail_level, + "total": formatted.len(), + "results": formatted, + }); + + if formatted.is_empty() { + response["hint"] = serde_json::json!( + "No concrete matches found. Try concrete=false or a broader natural-language query." + ); + } + if !budget_expandable.is_empty() { + response["expandable"] = serde_json::json!(budget_expandable); + } + if let Some(tokens) = budget_tokens_used { + response["tokenBudgetUsed"] = serde_json::json!(tokens); + response["tokenBudgetLimit"] = serde_json::json!(args.token_budget.unwrap()); + } + + return Ok(response); + } + // Favor semantic search — research shows 0.3/0.7 outperforms equal weights let keyword_weight = 0.3_f32; let semantic_weight = 0.7_f32; @@ -668,6 +746,41 @@ pub async fn execute( Ok(response) } +fn is_literal_query(query: &str) -> bool { + let trimmed = query.trim(); + if trimmed.len() >= 2 { + let bytes = trimmed.as_bytes(); + if (bytes[0] == b'"' && bytes[bytes.len() - 1] == b'"') + || (bytes[0] == b'\'' && bytes[bytes.len() - 1] == b'\'') + { + return true; + } + } + + if uuid::Uuid::parse_str(trimmed).is_ok() { + return true; + } + + let token_count = trimmed.split_whitespace().count(); + if token_count != 1 { + return false; + } + + let has_identifier_punctuation = trimmed + .chars() + .any(|c| matches!(c, '_' | '-' | '/' | '\\' | '.' | ':' | '=' | '@')); + if has_identifier_punctuation { + return true; + } + + let has_alpha = trimmed.chars().any(|c| c.is_ascii_alphabetic()); + has_alpha + && trimmed.contains('_') + && trimmed + .chars() + .all(|c| c.is_ascii_uppercase() || c.is_ascii_digit() || c == '_') +} + /// Format a search result based on the requested detail level. fn format_search_result(r: &vestige_core::SearchResult, detail_level: &str) -> Value { match detail_level { @@ -840,6 +953,97 @@ mod tests { assert!(result.unwrap_err().contains("Invalid arguments")); } + #[test] + fn test_literal_query_detection() { + assert!(is_literal_query("\"exact phrase\"")); + assert!(is_literal_query("OPENAI_API_KEY")); + assert!(is_literal_query("mlx_lm.server")); + assert!(is_literal_query("src/main.rs")); + assert!(is_literal_query("4da778e2-1111-4444-8888-123456789abc")); + assert!(!is_literal_query("how should memory search work")); + } + + #[tokio::test] + async fn test_concrete_search_env_var_lands_first() { + let (storage, _dir) = test_storage().await; + ingest_test_content( + &storage, + "General OpenAI setup and API key rotation guidance", + ) + .await; + let target = ingest_test_content( + &storage, + "Release smoke test requires OPENAI_API_KEY to be set in the shell", + ) + .await; + ingest_test_content( + &storage, + "Credentials should be stored outside the repository", + ) + .await; + + let args = serde_json::json!({ + "query": "OPENAI_API_KEY", + "limit": 5 + }); + let result = execute(&storage, &test_cognitive(), Some(args)) + .await + .unwrap(); + + assert_eq!(result["method"], "concrete"); + assert_eq!(result["concrete"], true); + assert_eq!(result["results"][0]["id"], target); + } + + #[tokio::test] + async fn test_concrete_search_uuid_lands_first() { + let (storage, _dir) = test_storage().await; + let uuid = "4da778e2-1111-4444-8888-123456789abc"; + ingest_test_content(&storage, "Several memories mention release identifiers").await; + let target = ingest_test_content( + &storage, + &format!("The migration bug is tracked by exact id {}", uuid), + ) + .await; + + let args = serde_json::json!({ + "query": uuid, + "limit": 5 + }); + let result = execute(&storage, &test_cognitive(), Some(args)) + .await + .unwrap(); + + assert_eq!(result["method"], "concrete"); + assert_eq!(result["results"][0]["id"], target); + } + + #[tokio::test] + async fn test_concrete_search_process_name_lands_first() { + let (storage, _dir) = test_storage().await; + ingest_test_content( + &storage, + "The local MLX server can expose an OpenAI-compatible endpoint", + ) + .await; + let target = ingest_test_content( + &storage, + "If mlx_lm.server is already running, do not start a second Sanhedrin backend", + ) + .await; + + let args = serde_json::json!({ + "query": "mlx_lm.server", + "limit": 5 + }); + let result = execute(&storage, &test_cognitive(), Some(args)) + .await + .unwrap(); + + assert_eq!(result["method"], "concrete"); + assert_eq!(result["results"][0]["id"], target); + } + // ======================================================================== // LIMIT CLAMPING TESTS // ======================================================================== diff --git a/crates/vestige-mcp/src/tools/session_context.rs b/crates/vestige-mcp/src/tools/session_context.rs index 56c615b..0a32ce4 100644 --- a/crates/vestige-mcp/src/tools/session_context.rs +++ b/crates/vestige-mcp/src/tools/session_context.rs @@ -546,13 +546,13 @@ mod tests { let (storage, _dir) = test_storage().await; ingest_test_content( &storage, - "Sam prefers Rust and TypeScript for all projects.", + "The user prefers Rust and TypeScript for all projects.", vec![], ) .await; let args = serde_json::json!({ - "queries": ["Sam preferences", "project context"] + "queries": ["user preferences", "project context"] }); let result = execute(&storage, &test_cognitive(), Some(args)).await; assert!(result.is_ok()); diff --git a/docs/COGNITIVE_SANDWICH.md b/docs/COGNITIVE_SANDWICH.md index 4b4661e..4ba4d1d 100644 --- a/docs/COGNITIVE_SANDWICH.md +++ b/docs/COGNITIVE_SANDWICH.md @@ -55,7 +55,7 @@ For each claim, it checks Vestige's `deep_reference` for high-trust contradictin |---|---| | TECHNICAL / EXISTENTIAL / TIMELINE | VETO if memory trust > 0.55 directly contradicts | | BIOGRAPHICAL / FINANCIAL / ACHIEVEMENT / ATTRIBUTION | VETO if contradicted OR if factual-shaped with zero supporting evidence (fail-closed) | -| **VAGUE-QUANTIFIER** | VETO on "a few wins / some prize money / most placed" without enumeration | +| **VAGUE-QUANTIFIER** | VETO on vague achievement or financial claims without enumeration | | **UNVERIFIED-POSITIVE** | VETO on specific named institutions/dates/employers not in evidence | False-positive guards (added v2.1.0 after dogfood): @@ -183,7 +183,7 @@ On M3 Max 14-core or M2/M1 Max: closer to 3–7s prompt processing, ~50–60 tok ## Architecture provenance -The Cognitive Sandwich originated April 2026 as a defense against the AIMO3 36/50 failure mode — Claude retrieving relevant memories but summarizing them instead of composing them into recommendations. The pre-cognitive layer enforces composition; the post-cognitive layer catches contradictions before they ship. +The Cognitive Sandwich originated April 2026 as a defense against a dogfood failure mode: Claude retrieved relevant memories but summarized them instead of composing them into a recommendation. The pre-cognitive layer enforces composition; the post-cognitive layer catches contradictions before they ship. Full architecture memory: search Vestige for `god-tier-plan` or `cognitive-sandwich` tags after install. diff --git a/docs/FAQ.md b/docs/FAQ.md index a5a8162..4c3047e 100644 --- a/docs/FAQ.md +++ b/docs/FAQ.md @@ -160,6 +160,8 @@ Accessibility is calculated as: `0.5 × retention + 0.3 × retrieval_strength + Memories are never deleted automatically. They fade from relevance but can be revived if accessed again (like human memory—"oh, I forgot about that!"). +If you explicitly want content gone, use `memory(action="purge", confirm=true)`. Purge permanently removes the memory content and embeddings, scrubs internal references, and keeps only a non-content tombstone so sync/audit can prove the deletion happened. + **To configure decay**: The FSRS-6 algorithm auto-tunes based on your usage patterns. Memories you access stay strong; memories you ignore fade. No manual tuning needed.
            diff --git a/docs/STORAGE.md b/docs/STORAGE.md index ef98830..0e57428 100644 --- a/docs/STORAGE.md +++ b/docs/STORAGE.md @@ -54,7 +54,7 @@ vestige portable-import ~/Dropbox/vestige/portable.json --merge vestige sync ~/Dropbox/vestige/portable.json ``` -`vestige sync` uses the same pluggable portable-sync backend interface as the core library. v2.1.1 ships a file backend, which works with Dropbox, iCloud Drive, Syncthing, Git, network shares, or any folder-sync system. The merge algorithm applies delete tombstones, keeps newer local memories on timestamp conflicts, preserves stable IDs, rebuilds FTS after import, and writes the pushed archive atomically when the filesystem supports rename. +`vestige sync` uses the same pluggable portable-sync backend interface as the core library. v2.1.1 ships a file backend, which works with Dropbox, iCloud Drive, Syncthing, Git, network shares, or any folder-sync system. The merge algorithm applies delete tombstones, keeps newer local memories on timestamp conflicts, preserves stable IDs, rebuilds FTS after import, and writes the pushed archive atomically when the filesystem supports rename. v2.1.2 also carries non-content purge tombstones so a hard purge can sync without retaining the deleted memory text. When using the MCP `export` tool with `format: "portable"`, Vestige writes the archive under the active data directory's `exports/` folder. The MCP `restore` tool only reads from that `exports/` or `backups/` folder by default; pass `allowAnyPath: true` only for a trusted local file you selected manually. diff --git a/docs/VESTIGE_STATE_AND_PLAN.md b/docs/VESTIGE_STATE_AND_PLAN.md index 0ee5821..fd67a7f 100644 --- a/docs/VESTIGE_STATE_AND_PLAN.md +++ b/docs/VESTIGE_STATE_AND_PLAN.md @@ -1,1273 +1,100 @@ -# Vestige: State of the Engine & Next-Phase Plan +# Vestige State And Plan -> **For:** AI agents planning the next phase of Vestige alongside Sam. -> **From:** Sam Valladares (compiled via multi-agent inventory of the live codebase). -> **As of:** 2026-04-19 ~22:10 CT, post-merge of v2.0.8 into `main` (CI green on all four jobs). -> **Repo:** https://github.com/samvallad33/vestige -> **Related repo (private):** `~/Developer/vestige-cloud` (Feb 12, 2026 skeleton; Part 7). -> -> This document is the single authoritative briefing of what Vestige *is today* and what *ships next*. Everything in Part 1 is verifiable against the source tree; everything in Part 3 is the committed roadmap agreed 2026-04-19. +This document is a public, sanitized replacement for an older internal planning +snapshot. It intentionally omits private local paths, personal operating +context, unpublished roadmap notes, and private repository locations. ---- +For current user-facing release information, use: -## Table of Contents +- `README.md` +- `CHANGELOG.md` +- `docs/STORAGE.md` +- `docs/COGNITIVE_SANDWICH.md` +- `docs/CLAUDE-SETUP.md` -0. [Executive Summary (60-second read)](#0-executive-summary-60-second-read) -1. [What Vestige Is](#1-what-vestige-is) -2. [Workspace Architecture](#2-workspace-architecture) -3. [`vestige-core` — Cognitive Engine](#3-vestige-core--cognitive-engine) -4. [`vestige-mcp` — MCP Server + Dashboard Backend](#4-vestige-mcp--mcp-server--dashboard-backend) -5. [`apps/dashboard` — SvelteKit + Three.js Frontend](#5-appsdashboard--sveltekit--threejs-frontend) -6. [Integrations & Packaging](#6-integrations--packaging) -7. [`vestige-cloud` — Current Skeleton](#7-vestige-cloud--current-skeleton) -8. [Version History (v1.0 → v2.0.8)](#8-version-history-v10--v208) -9. [The Next-Phase Plan](#9-the-next-phase-plan) -10. [Composition Map](#10-composition-map) -11. [Risks & Known Gaps](#11-risks--known-gaps) -12. [Viral / Launch / Content Plan](#12-viral--launch--content-plan) -13. [How AI Agents Should Consume This Doc](#13-how-ai-agents-should-consume-this-doc) -14. [Glossary & Citations](#14-glossary--citations) +## Current Release Shape ---- +Vestige v2.1.2 is the "Honest Memory" release. Its public scope is: -## 0. Executive Summary (60-second read) +- concrete literal search for quoted strings, env vars, UUIDs, paths, and code + identifiers +- irreversible purge semantics with content-free deletion tombstones +- first-class contradiction inspection through the MCP `contradictions` tool +- the `vestige update` CLI flow for binary and Cognitive Sandwich updates +- dense dream connection persistence fixes +- embedding-model upgrade repair during consolidation +- an opt-in `/dashboard/waitlist` preview for Vestige Pro early access -Vestige is a Rust-based MCP (Model Context Protocol) cognitive memory server that gives any AI agent persistent, structured, scientifically-grounded memory. It ships three binaries (`vestige-mcp`, `vestige`, `vestige-restore`), a 3D SvelteKit dashboard embedded into the binary, and is distributed via GitHub releases + npm. As of v2.0.7 "Visible" (tagged 2026-04-19), it has **24 MCP tools**, **29 cognitive modules** implementing real neuroscience (FSRS-6 spaced repetition, synaptic tagging, hippocampal indexing, spreading activation, reconsolidation, Anderson 2025 suppression-induced forgetting, Rac1 cascade decay), **1,292 Rust tests**, **251 dashboard tests** (80 just added for v2.0.8 colour-mode), and **402 GitHub stars**. AGPL-3.0. +The release keeps the local-first baseline intact. Heavy model hooks, local +verifier models, and preflight automation remain optional. -**The branch `feat/v2.0.8-memory-state-colors` was fast-forwarded into `main` tonight** adding the FSRS memory-state colour mode, a floating legend, ruthless unit coverage, the Rust 1.95 clippy-compat fix (12 sites), and the dark-glass-pill label redesign. CI on main: all 4 jobs ✅. +## Release Gates -**The next six releases are scoped:** v2.1 "Decide" (Qwen3 embeddings, in-flight on `feat/v2.1.0-qwen3-embed`), v2.2 "Pulse" (subconscious cross-pollination — **the viral moment**), v2.3 "Rewind" (temporal slider + pin), v2.4 "Empathy" (emotional/frustration tagging, **first Pro-tier gate candidate**), v2.5 "Grip" (neuro-feedback cluster gestures), v2.6 "Remote" (`vestige-cloud` upgrade from 5→24 MCP tools + Streamable HTTP). v3.0 "Branch" reserves CoW memory branching and multi-tenant SaaS. +Before tagging a release, run: -**Sam's context** (load-bearing for any strategic advice): no steady income since March 2026, Mays Business School deadline May 1 ($400K+ prizes), Orbit Wars Kaggle deadline June 23 ($5K × top 10), graduation June 13. Viral OSS growth comes first; paid tier gates second. - ---- - -## 1. What Vestige Is - -### 1.1 Mission - -Give any AI agent that speaks MCP a long-term memory and a reasoning co-processor that survives session boundaries, with retrieval ranked by scientifically-validated decay and strengthening rules — not a vector database with a nice coat of paint. - -### 1.2 Positioning vs. the competitive landscape - -| System | Vestige's angle | -|---|---| -| Zep, Cognee, Letta, claude-mem, MemPalace, HippoRAG | Vestige is **local-first + MCP-native + neuroscience-grounded**. The others are cloud-first (Zep/Cognee), RAG-wrappers (HippoRAG), or toy (claude-mem). Vestige is the only one that implements 29 stateful cognitive modules. | -| ChatGPT memory, Cursor memory | Both are opaque key-value caches owned by their vendor. Vestige is open source and the memory is yours. | -| Plain vector DBs (Chroma, Qdrant) | They retrieve by similarity. Vestige *rewires* the graph on access (testing effect), decays with FSRS-6, competes retrievals, and dreams between sessions. | - -### 1.3 The "Oh My God" surface - -1. The 3D graph that **animates in real-time** when memories are created, promoted, suppressed, or cascade-decayed. -2. The `dream()` tool that runs a 5-stage consolidation cycle and generates insights from cross-cluster replay. -3. `deep_reference` — an 8-stage cognitive reasoning pipeline with FSRS trust scoring, intent classification, contradiction analysis, and a pre-built reasoning chain. Not just retrieval — actual reasoning. -4. Active forgetting (v2.0.5 "Intentional Amnesia") — top-down inhibitory control with Rac1 cascade that spreads over 72h, reversible within a 24h labile window. -5. Cross-IDE persistence. Fix a bug in VS Code, open the project in Xcode, the agent remembers. - -### 1.4 Stats (as of 2026-04-19 post-merge) - -| Metric | Value | -|---|---| -| GitHub stars | 402 | -| Total commits (main) | 139 | -| Rust source LOC | ~42,000 (vestige-core) + ~vestige-mcp | -| Rust tests passing | 1,292 (workspace, release profile) | -| Dashboard tests passing | 251 (Vitest, 7 files, 3,291 lines) | -| MCP tools | 24 | -| Cognitive modules | 29 (16 neuroscience + 11 advanced + 2 search) | -| FSRS-6 trained parameters | 21 | -| Embedding dim (default) | 768 (nomic-embed-text-v1.5), truncatable to 256 (Matryoshka) | -| Binary targets shipped | 3 (aarch64-darwin, x86_64-linux, x86_64-windows) | -| IDE integrations documented | 8 (Claude Code, Claude Desktop, Cursor, VS Code Copilot, Codex, Xcode, JetBrains/Junie, Windsurf) | -| Latest GitHub release | v2.0.7 "Visible" (binaries up, npm pending Sam's Touch ID) | -| `main` HEAD | `30d92b5` (2026-04-19 21:52 CT) | -| CI on HEAD | All 4 jobs ✅ (Test macos, Test ubuntu, Release aarch64-darwin, Release x86_64-linux) | - -### 1.5 License - -**AGPL-3.0-only** (copyleft). If you run a modified Vestige as a network service, you must open-source your modifications. This is intentional — it protects against extract-and-host competitors while allowing a future commercial-license path for SaaS (Part 9.7). - ---- - -## 2. Workspace Architecture - -### 2.1 Repo layout - -``` -vestige/ -├── Cargo.toml # Workspace root -├── Cargo.lock -├── pnpm-workspace.yaml # pnpm monorepo marker -├── package.json # Root (v2.0.1, private) -├── .mcp.json # Self-registering MCP config -├── README.md # 22.5 KB marketing + quick-start -├── CHANGELOG.md # 31 KB, v1.0 → v2.0.7 Keep-a-Changelog format -├── CLAUDE.md # Project-level Claude instructions -├── CONTRIBUTING.md # Dev setup + test commands -├── SECURITY.md # Vuln reporting -├── LICENSE # AGPL-3.0 full text -├── crates/ -│ ├── vestige-core/ # Library crate (cognitive engine) -│ └── vestige-mcp/ # Binary crate (MCP server + dashboard backend) -├── apps/ -│ └── dashboard/ # SvelteKit 2 + Svelte 5 + Three.js frontend -├── packages/ -│ ├── vestige-mcp-npm/ # npm: vestige-mcp-server (binary wrapper) -│ ├── vestige-init/ # npm: @vestige/init (zero-config installer) -│ └── vestige-mcpb/ # legacy, appears abandoned -├── tests/ -│ └── vestige-e2e-tests/ # Integration tests over MCP protocol -├── docs/ -│ ├── CLAUDE-SETUP.md -│ ├── CONFIGURATION.md -│ ├── FAQ.md -│ ├── SCIENCE.md -│ ├── STORAGE.md -│ ├── integrations/ -│ │ ├── codex.md -│ │ ├── cursor.md -│ │ ├── jetbrains.md -│ │ ├── vscode.md -│ │ ├── windsurf.md -│ │ └── xcode.md -│ ├── launch/ -│ │ ├── UI_ROADMAP_v2.1_v2.2.md # compiled 2026-04-19 -│ │ ├── show-hn.md -│ │ ├── blog-post.md -│ │ ├── demo-script.md -│ │ └── reddit-cross-reference.md -│ └── blog/ -│ └── xcode-memory.md -├── scripts/ -│ └── xcode-setup.sh # 4.9 KB interactive installer -└── .github/ - └── workflows/ - ├── ci.yml # push-main + PR: clippy + test - ├── release.yml # tag push: binary build matrix - └── test.yml # parallel unit/e2e/journey/dashboard/coverage +```sh +cargo test --workspace --no-fail-fast +cargo clippy --workspace -- -D warnings +pnpm --filter @vestige/dashboard check +pnpm --filter @vestige/dashboard build +git diff --check ``` -### 2.2 Dependency flow - -``` -┌─────────────────────┐ -│ apps/dashboard │ Svelte 5 + Three.js → static `build/` -│ (SvelteKit 2) │ embedded via include_dir! into vestige-mcp binary -└──────────┬──────────┘ - │ HTTP / WebSocket - ▼ -┌─────────────────────┐ ┌──────────────────────┐ -│ vestige-mcp │ ────► │ vestige-core │ -│ (binary + dash BE) │ │ (cognitive engine) │ -│ Axum + JSON-RPC │ │ FSRS-6, search, │ -│ MCP stdio + HTTP │ │ embeddings, 29 │ -│ │ │ cognitive modules │ -└─────────────────────┘ └──────────────────────┘ - ▲ - │ path dep - ┌────────┴──────────┐ - │ vestige-cloud │ (separate repo, Feb 12 - │ vestige-http │ skeleton, not yet - │ (Axum + SSE) │ shipped) - └───────────────────┘ -``` - -### 2.3 Build profile - -```toml -[profile.release] -lto = true -codegen-units = 1 -panic = "abort" -strip = true -opt-level = "z" # Size-optimized; binary is ~22 MB with dashboard -``` - -### 2.4 Workspace Cargo.toml pinned version - -Workspace `version = "2.0.5"`. Crate-level `Cargo.toml` files pin `2.0.7`. Version files are pumped together on each release (5 files: `crates/vestige-core/Cargo.toml`, `crates/vestige-mcp/Cargo.toml`, `apps/dashboard/package.json`, `packages/vestige-init/package.json`, `packages/vestige-mcp-npm/package.json`). - -### 2.5 MSRV & editions - -- **Rust MSRV:** 1.91 (enforced in `rust-version`). -- **CI Rust:** stable (currently 1.95 — which introduced the `unnecessary_sort_by` + `collapsible_match` lints tonight's fixes addressed). -- **Edition:** 2024 across the entire workspace. -- **Node:** 18+ for npm packages, 22+ for dashboard dev. -- **pnpm:** 10+ for workspace. - ---- - -## 3. `vestige-core` — Cognitive Engine - -### 3.1 Purpose - -Library crate. Owns the entire cognitive engine: storage, FTS5, vector search, FSRS-6, embeddings, and the 29 cognitive modules. Has no knowledge of MCP, HTTP, or the dashboard — those live one crate up. - -### 3.2 Metadata - -```toml -name = "vestige-core" -version = "2.0.7" -edition = "2024" -rust-version = "1.91" -license = "AGPL-3.0-only" -description = "Cognitive memory engine - FSRS-6 spaced repetition, semantic embeddings, and temporal memory" -keywords = ["memory", "spaced-repetition", "fsrs", "embeddings", "knowledge-graph"] -``` - -### 3.3 Feature flags (8) - -| Flag | Default | What it turns on | Cost | -|---|---|---|---| -| `embeddings` | **yes** | `mod embeddings`, fastembed v5.11, ONNX inference | +~130MB model download on first run | -| `vector-search` | **yes** | `mod search`, USearch HNSW, hybrid BM25 + semantic | negligible | -| `bundled-sqlite` | **yes** (mutex w/ `encryption`) | SQLite bundled via rusqlite 0.38 | +~2MB binary | -| `encryption` | no | SQLCipher encrypted DB | requires system libsqlcipher | -| `qwen3-reranker` | no | Qwen3 cross-encoder reranker | +candle-core deps | -| `qwen3-embed` | **no (v2.1 scaffolding)** | Qwen3 embed backend via Candle (Metal device + CPU fallback) | +candle-core, +~500MB Qwen3 model | -| `metal` | no | Metal GPU acceleration on Apple | macOS only | -| `nomic-v2` | no | Nomic Embed v2 MoE variant | +~200MB model | -| `ort-dynamic` | no | Runtime-load ORT instead of static prebuilt | required on glibc < 2.38 | - -**Default feature set ships with embeddings + vector-search.** `qwen3-embed` is the v2.1 "Decide" scaffolding — dual-index with feature-gated `DEFAULT_DIMENSIONS` (1024 for Qwen3 vs 256 for Matryoshka-truncated Nomic). - -### 3.4 Module tree (`src/lib.rs`) - -``` -src/ -├── lib.rs # Module tree + prelude re-exports -├── prelude.rs # KnowledgeNode, IngestInput, SearchResult, etc. -├── storage/ # SQLite + FTS5 + HNSW + migrations -│ ├── mod.rs # Storage struct; public API -│ ├── sqlite.rs # Connection setup, PRAGMAs, migrations -│ ├── migrations.rs # V1..V11 migration chain (V11 dropped knowledge_edges + compressed_memories tables) -│ ├── schema.rs # CREATE TABLE statements -│ ├── node.rs # CRUD for KnowledgeNode -│ ├── edge.rs # Edge insertion + deletion -│ ├── fts.rs # FTS5 wrapper -│ ├── state_transitions.rs # Append-only audit log -│ ├── consolidation_history.rs -│ ├── dream_history.rs -│ └── intention.rs # Prospective memory persistence -├── search/ # 7-stage cognitive search pipeline -│ ├── mod.rs -│ ├── hybrid.rs # BM25 + semantic fusion -│ ├── vector.rs # USearch HNSW wrapper; DEFAULT_DIMENSIONS gated -│ ├── reranker.rs # Jina Reranker v1 Turbo (38M params) -│ ├── temporal.rs # Recency + validity window boosting -│ ├── context.rs # Tulving 1973 encoding specificity -│ ├── competition.rs # Anderson 1994 retrieval-induced forgetting -│ └── activation.rs # Spreading activation side effects -├── embeddings/ # ONNX local + Qwen3 candle -│ ├── mod.rs # EmbeddingService trait -│ ├── local.rs # Backend enum (Nomic ONNX / Qwen3 Candle); metal device selection -│ ├── adaptive.rs # AdaptiveEmbedder (Matryoshka 256/768/1024 tier) -│ ├── hyde.rs # HyDE query expansion -│ └── cache.rs # In-memory embedding LRU -├── fsrs/ # Spaced repetition (21-param Anki FSRS-6) -│ ├── mod.rs -│ ├── params.rs # Trained params -│ ├── algorithm.rs # R(t) = (1 + factor × t / S)^(-w20) -│ └── review.rs # apply_review -├── neuroscience/ # 16 modules (see §3.5) -│ ├── mod.rs -│ ├── activation.rs # ActivationNetwork (Collins & Loftus 1975) -│ ├── synaptic_tagging.rs # SynapticTaggingSystem (Frey & Morris 1997) -│ ├── hippocampal_index.rs # (Teyler & Rudy 2007) -│ ├── context_matcher.rs # (Tulving 1973) -│ ├── accessibility.rs # AccessibilityCalculator -│ ├── competition.rs # CompetitionManager (Anderson 1994) -│ ├── state_update.rs # StateUpdateService -│ ├── importance_signals.rs # 4-channel (novelty/arousal/reward/attention) -│ ├── emotional_memory.rs # Brown & Kulik 1977 flashbulb memory -│ ├── predictive_retrieval.rs # Friston Free Energy 2010 -│ ├── prospective_memory.rs # Intention fulfillment -│ ├── intention_parser.rs -│ └── memory_states.rs # Active / Dormant / Silent / Unavailable + Bjork & Bjork 1992 -├── advanced/ # 11 modules (see §3.6) -│ ├── mod.rs -│ ├── importance_tracker.rs -│ ├── reconsolidation.rs # Nader 2000 labile window (5 min, 10 mods max) -│ ├── intent_detector.rs # 9 intent types -│ ├── activity_tracker.rs -│ ├── dreaming.rs # MemoryDreamer 5-stage -│ ├── chains.rs # MemoryChainBuilder (A*-like) -│ ├── compression.rs # MemoryCompressor (30-day min age) -│ ├── cross_project.rs # CrossProjectLearner (6 pattern types) -│ ├── adaptive_embedding.rs -│ ├── speculative_retriever.rs -│ └── consolidation_scheduler.rs -├── codebase/ # CrossProjectLearner backing -│ ├── git.rs # Git history analysis -│ ├── relationships.rs # File-file co-edit patterns -│ └── types.rs -└── session/ # Session-level tracking - └── mod.rs -``` - -### 3.5 Neuroscience modules (16) - -| Module | Citation / basis | Purpose | -|---|---|---| -| `ActivationNetwork` | Collins & Loftus 1975 | Spreading activation across memory graph | -| `SynapticTaggingSystem` | Frey & Morris 1997 | Retroactive importance: memories in last 9h get boosted when big event fires | -| `HippocampalIndex` | Teyler & Rudy 2007 | Graph-level indexing; "dentate gyrus pattern separator" | -| `ContextMatcher` | Tulving 1973 | Encoding specificity — context overlap boosts retrieval by up to 30% | -| `AccessibilityCalculator` | Bjork & Bjork 1992 | `accessibility = retention × 0.5 + retrieval × 0.3 + storage × 0.2` | -| `CompetitionManager` | Anderson 1994 | Retrieval-induced forgetting — winners strengthen, competitors weaken | -| `StateUpdateService` | — | FSRS state transitions + append-only log | -| `ImportanceSignals` (4 channels) | Novelty / Arousal / Reward / Attention | Composite importance score, threshold 0.6 | -| `EmotionalMemory` | Brown & Kulik 1977 | Flashbulb memories — high-arousal events encode stronger | -| `PredictiveMemory` | Friston 2010 | Active inference — predict user needs before they ask | -| `ProspectiveMemory` | — | Intentions ("remind me when...") | -| `IntentionParser` | — | Natural-language → structured intention trigger | -| `MemoryState` (enum) | Bjork & Bjork 1992 | Active ≥0.7 / Dormant ≥0.4 / Silent ≥0.1 / Unavailable <0.1 | -| `Rac1Cascade` (v2.0.5) | Cervantes-Sandoval & Davis 2020 | Actin-destabilization-mediated forgetting of co-activated neighbors | -| `Suppression` (v2.0.5) | Anderson 2025 SIF | Top-down inhibitory control; compounds; 24h reversible labile window | -| `Reconsolidation` | Nader 2000 | 5-minute labile window after access; up to 10 modifications | - -### 3.6 Advanced modules (11) - -| Module | Purpose | Key methods | -|---|---|---| -| `ImportanceTracker` | Aggregates 4-channel score history | `record()`, `get_composite()` | -| `ReconsolidationManager` | Nader labile window state machine | `mark_labile()`, `apply_modification()`, `reconsolidate()` | -| `IntentDetector` | 9 intent types (Question, Decision, Plan, etc.) | `detect()` | -| `ActivityTracker` | Session-level active memory | `record_access()`, `recent()` | -| `MemoryDreamer` | 5-stage consolidation: Replay → Cross-reference → Strengthen → Prune → Transfer. Uses Waking SWR tagging (70% tagged + 30% random for diversity) | `dream(memory_count)` | -| `MemoryChainBuilder` | A*-like pathfinding between memories | `build_chain(from, to)` | -| `MemoryCompressor` | Semantic compression for 30+ day old memories | `compress(group)` | -| `CrossProjectLearner` | 6 pattern types (ErrorHandling, AsyncConcurrency, Testing, Architecture, Performance, Security) | `find_universal_patterns()`, `apply_to_project()` | -| `AdaptiveEmbedder` | Matryoshka-truncation tier selection | `embed_adaptive()` | -| `SpeculativeRetriever` | 6 trigger types for proactive memory fetch | `predict_needed_memories()` | -| `ConsolidationScheduler` | Runs FSRS decay cycle on interval (default 6h, env-configurable) | `start()` | - -### 3.7 Storage - -- SQLite via rusqlite 0.38, WAL mode, `Mutex` split between reader and writer. -- FTS5 for keyword search (`bm25(10.0, 5.0, 1.0)` weights). -- Migrations V1..V11. **V11 (2026-04-19)** drops the dead `knowledge_edges` and `compressed_memories` tables that were reserved but never used. -- Append-only audit logs: `state_transitions`, `consolidation_history`, `dream_history`. - -### 3.8 Embeddings - -- Default: **Nomic Embed Text v1.5** via fastembed (ONNX, 768D). -- Matryoshka truncation to 256D for fast HNSW lookups (20× faster than full 768D). -- HyDE query expansion (generate a hypothetical document, embed it, search by its embedding). -- **v2.1 scaffolding:** Qwen3 embedding backend via Candle behind `qwen3-embed` feature. `qwen3_format_query()` helper prepends the instruction prefix ("Given a web search query, retrieve relevant passages that answer the query"). -- Embedding cache: in-memory LRU; disk-warm on first run (~130MB for Nomic, ~500MB for Qwen3). - -### 3.9 Vector search - -- USearch HNSW (pinned 2.23.0; 2.24.0 regressed on MSVC per usearch#746). Int8 quantization. -- Hybrid scoring: `combined = 0.3 × BM25 + 0.7 × cosine` (default, user-tunable). -- `DEFAULT_DIMENSIONS` feature-gated: 256 on default, 1024 under `qwen3-embed`. - -### 3.10 FSRS-6 - -- 21 trained parameters (Jarrett Ye / maimemo; trained on 700M+ Anki reviews). -- `R(t) = (1 + factor × t / S)^(-w20)` — power-law forgetting curve. -- 20-30% more efficient than SM-2 (Anki's original algorithm). -- Retrievability, stability, difficulty tracked per node. -- Dual-strength (Bjork & Bjork 1992): storage strength grows monotonically, retrieval strength decays. - -### 3.11 Test count - -- **364 `#[test]` annotations in vestige-core** across 47 test-bearing files. -- Examples: `cargo test --workspace` → 1,292 passing (includes 366 core + 425 mcp + e2e + journey). - ---- - -## 4. `vestige-mcp` — MCP Server + Dashboard Backend - -### 4.1 Purpose - -Binary crate. Wraps `vestige-core` behind an MCP JSON-RPC 2.0 server, plus an embedded Axum HTTP server that hosts the dashboard, WebSocket event bus, and REST API. - -### 4.2 Binaries - -| Binary | Source | Purpose | -|---|---|---| -| `vestige-mcp` | `src/main.rs` | **Primary.** MCP JSON-RPC over stdio + optional HTTP transport. Hosts dashboard at `/dashboard/`. | -| `vestige` | `src/bin/cli.rs` | CLI: stats, consolidate, backup, restore, export, gc, dashboard launcher. | -| `vestige-restore` | `src/bin/restore.rs` | Standalone batch restore from JSON backup. | - -### 4.3 Environment variables - -| Var | Default | Purpose | -|---|---|---| -| `VESTIGE_DASHBOARD_PORT` | `3927` | Dashboard HTTP + WebSocket port | -| `VESTIGE_HTTP_PORT` | `3928` | Optional MCP-over-HTTP port | -| `VESTIGE_HTTP_BIND` | `127.0.0.1` | HTTP bind address | -| `VESTIGE_AUTH_TOKEN` | auto-generated | Dashboard bearer auth | -| `VESTIGE_CONSOLIDATION_INTERVAL_HOURS` | `6` | FSRS decay cycle cadence | -| `VESTIGE_DASHBOARD_ENABLED` | `true` | Toggle dashboard on/off | -| `VESTIGE_SYSTEM_PROMPT_MODE` | `minimal` | `full` enables the extended `build_instructions` block | -| `RUST_LOG` | `info` | tracing filter | - -### 4.4 The 24 MCP tools - -Every tool implemented in `src/tools/*.rs`. JSON schemas are programmatically emitted from `schema()` functions on each module. - -1. **`session_context`** — one-call session init. Params: `queries[]`, `context{codebase, topics, file}`, `token_budget` (100-100000), `include_status`, `include_intentions`, `include_predictions`. Returns markdown context + `automationTriggers` (needsDream, needsBackup, needsGc) + `expandable` overflow IDs. -2. **`smart_ingest`** — single or batch ingest with Prediction Error Gating (similarity >0.92 → UPDATE, 0.75-0.92 → UPDATE/SUPERSEDE, <0.75 → CREATE). Params: `content`, `tags[]`, `node_type`, `source`, `forceCreate`, OR `items[]` (up to 20). Runs full cognitive pipeline. -3. **`search`** — 7-stage cognitive search. Params: `query`, `limit` (1-100), `min_retention`, `min_similarity`, `detail_level` (brief/summary/full), `context_topics[]`, `token_budget`, `retrieval_mode` (precise/balanced/exhaustive). **Strengthens retrieved memories via testing effect.** -4. **`memory`** — CRUD + promote/demote. `action` ∈ `{get, edit, delete, promote, demote, state, get_batch}`. `get_batch` takes up to 20 IDs. Edit preserves FSRS state, regenerates embedding. -5. **`codebase`** — Remember patterns & decisions. Actions: `remember_pattern`, `remember_decision`, `get_context`. Feeds CrossProjectLearner. -6. **`intention`** — Prospective memory. Actions: `set` (with trigger types time/context/event), `check`, `update`, `list`. Supports `include_snoozed` (v2.0.7 fix). -7. **`dream`** — 5-stage consolidation cycle. Param: `memory_count` (default 50). Returns insights, connections found, memories replayed, duration. -8. **`explore_connections`** — Graph traversal. Actions: `associations` (spreading activation), `chain` (A*-like path), `bridges` (connecting memories between two concepts). -9. **`predict`** — Proactive retrieval via SpeculativeRetriever. Param: `context{codebase, current_file, current_topics[]}`. Returns predictions with confidence + reasoning. Has a `predict_degraded` flag (v2.0.7) that surfaces warnings instead of silent empty responses. -10. **`importance_score`** — 4-channel scoring. Param: `content`, `context_topics[]`, `project`. Returns `{composite, channels{novelty, arousal, reward, attention}, recommendation}`. -11. **`find_duplicates`** — Cosine similarity clustering. Params: `similarity_threshold` (default 0.80), `limit`, `tags[]`. Returns merge/review suggestions. -12. **`memory_timeline`** — Chronological browse. Params: `start`, `end`, `node_type`, `tags[]`, `limit`, `detail_level`. -13. **`memory_changelog`** — Audit trail. Per-memory mode (by `memory_id`) or system-wide (with optional `start`/`end` ISO bounds, v2.0.7 fix adds 4× over-fetch when bounded). -14. **`memory_health`** — Retention dashboard. Returns avg retention, distribution buckets (0-20%, 20-40%, ...), trend, recommendation. -15. **`memory_graph`** — Visualization export. Params: `query` OR `center_id`, `depth` (default 2), `max_nodes` (default 50). Returns nodes with force-directed positions + edges with weights. -16. **`deep_reference`** — **★ THE killer tool.** 8-stage cognitive reasoning: - 1. Broad retrieval + cross-encoder reranking. - 2. Spreading activation expansion. - 3. FSRS-6 trust scoring (retention × stability × reps ÷ lapses). - 4. Intent classification (FactCheck / Timeline / RootCause / Comparison / Synthesis). - 5. Temporal supersession. - 6. Trust-weighted contradiction analysis. - 7. Relation assessment (Supports / Contradicts / Supersedes / Irrelevant). - 8. Template reasoning chain — pre-built natural-language conclusion the AI validates. - Returns `{intent, reasoning, recommended, evidence, contradictions, superseded, evolution, related_insights, confidence}`. -17. **`cross_reference`** — Backward-compat alias that calls `deep_reference`. Kept for v1.x users. -18. **`system_status`** — Full health + stats + warnings + recommendations. Used by `session_context` when `include_status=true`. -19. **`consolidate`** — FSRS-6 decay cycle + embedding generation pass. Returns counts. -20. **`backup`** — SQLite backup to `~/.vestige/backups/` with timestamp. -21. **`export`** — JSON/JSONL export. Params: `format`, `tags[]`, `since`. v2.0.7 defensive `Err` on unknown format (was `unreachable!()`). -22. **`gc`** — Garbage collect. Params: `min_retention` (default 0.1), `dry_run` (default true). Dry-run first, then execute. -23. **`restore`** — Restore from backup. Param: `path`. -24. **`suppress`** / **`unsuppress`** (v2.0.5 "Intentional Amnesia") — Top-down inhibition. `suppress(id, reason?)` compounds (`suppressionCount` increments); `unsuppress(id)` reverses if within 24h labile window. Also exposed as dashboard HTTP endpoints (v2.0.7: `POST /api/memories/{id}/suppress` + `/unsuppress`). - -### 4.5 MCP server internals - -- `src/server.rs` — JSON-RPC 2.0 over stdio, optional HTTP. Handles `initialize`, `tools/list`, `tools/call`. -- **`build_instructions()`** — constructs the `instructions` string returned by `initialize`. Gated on `VESTIGE_SYSTEM_PROMPT_MODE=full`. Full mode emits an extended cognitive-protocol system prompt; default is concise. -- **CognitiveEngine** (`src/cognitive/mod.rs`) — async wrapper around `Arc` + broadcast channel. Holds the WebSocket event sender. -- **Tool dispatch** — every `tools/call` invocation is routed to a `execute_*` function by tool name. - -### 4.6 Dashboard HTTP backend (`src/dashboard/`) - -- `src/dashboard/mod.rs` — Axum `Router` assembly. -- `src/dashboard/handlers.rs` — all REST handlers (~30 routes). -- `src/dashboard/static_files.rs` — embeds `apps/dashboard/build/` via `include_dir!` at compile time. -- `src/dashboard/state.rs` — `AppState { storage, event_tx, start_time }`. -- `src/dashboard/websocket.rs` — `/ws` upgrade handler with Origin validation (localhost + 127.0.0.1 + dev :5173), 64KB frame cap, 256KB message cap, heartbeat task every 5s. - -**Heartbeat payload (v2.0.7):** `{type: "Heartbeat", data: {uptime_secs, memory_count, avg_retention, suppressed_count, timestamp}}`. The `uptime_secs` is what powers the sidebar footer's `formatUptime()` display ("3d 4h" / "18m 43s"). - -### 4.7 WebSocket event bus — 19 VestigeEvent types - -Emitted from the `CognitiveEngine` broadcast channel to every connected dashboard client: - -| Event | When emitted | Dashboard visual | -|---|---|---| -| `Connected` | WebSocket upgrade complete | Cyan ripple (v2.0.6) | -| `Heartbeat` | Every 5s | Silent (updates sidebar stats) | -| `MemoryCreated` | Any ingest that produces a new node | Rainbow burst + double shockwave + ripple | -| `MemoryUpdated` | Smart_ingest UPDATE path | Pulse at node | -| `MemoryDeleted` | `memory({action: "delete"})` | Dissolution animation | -| `MemoryPromoted` | `memory({action: "promote"})` | Green pulse + sparkle | -| `MemoryDemoted` | `memory({action: "demote"})` | Orange pulse + fade | -| `MemorySuppressed` | `suppress(id)` (v2.0.5) | Violet implosion (v2.0.7) | -| `MemoryUnsuppressed` | `unsuppress(id)` (v2.0.5) | Rainbow reversal (v2.0.7) | -| `Rac1CascadeSwept` | Rac1 worker completes cascade (72h async) | Violet wave pulse (v2.0.6) | -| `SearchPerformed` | Every `search()` call | Cyan flash + PipelineVisualizer 7-stage animation in `/feed` | -| `DreamStarted` | `dream()` begins | Scene enters dream mode (2s lerp) | -| `DreamProgress` | Per-stage updates during dream | Aurora hue cycle | -| `DreamCompleted` | Dream finishes, insights generated | Scene exits dream mode | -| `ConsolidationStarted` | FSRS consolidation cycle starts | Amber warning pulse (v2.0.6) | -| `ConsolidationCompleted` | Consolidation finishes | Green confirmation pulse | -| `RetentionDecayed` | Node's retention drops below threshold during consolidation | Red decay pulse | -| `ConnectionDiscovered` | Dream or spreading activation finds new edge | **Cyan flash on edge (already fires — NOT yet surfaced as a toast; see v2.2 "Pulse")** | -| `ActivationSpread` | Spreading activation from a memory | Turquoise ripple (v2.0.6) | -| `ImportanceScored` | `importance_score()` or internal scoring event | Hot-pink pulse (v2.0.6, magenta) | - -### 4.8 Dashboard REST API - -All routes under `/api/`: - -| Method | Path | Purpose | -|---|---|---| -| GET | `/api/health` | Health check (status, version, memory count) | -| GET | `/api/stats` | Full stats (same surface as `system_status` tool) | -| GET | `/api/memories` | List memories with filters (q, node_type, tag, min_retention) | -| GET | `/api/memories/{id}` | Single memory detail | -| POST | `/api/memories` | Create memory (raw ingest) | -| DELETE | `/api/memories/{id}` | Delete | -| POST | `/api/memories/{id}/promote` | Promote (+0.20 retrieval, +0.10 retention, 1.5× stability) | -| POST | `/api/memories/{id}/demote` | Demote (−0.30 retrieval, −0.15 retention, 0.5× stability) | -| POST | `/api/memories/{id}/suppress` | v2.0.7: compound suppression | -| POST | `/api/memories/{id}/unsuppress` | v2.0.7: reverse within 24h labile window | -| POST | `/api/search` | Hybrid search (keyword + semantic weights) | -| POST | `/api/ingest` | Smart ingest (PE gating) | -| GET | `/api/graph` | Graph visualization export | -| POST | `/api/explore` | Actions: associations / chains / bridges | -| POST | `/api/dream` | Run dream cycle | -| POST | `/api/consolidate` | Run FSRS decay cycle | -| POST | `/api/predict` | Proactive predictions | -| POST | `/api/importance` | 4-channel score | -| GET | `/api/timeline` | Chronological | -| GET | `/api/intentions` | List intentions (filter by status) | -| GET | `/api/retention-distribution` | Bucketed histogram | - -WebSocket: `GET /ws` (upgrade) — one broadcast channel, any connected client gets all events. - -### 4.9 vestige-mcp feature flags - -| Flag | Purpose | Default | -|---|---|---| -| `embeddings` | Forward to vestige-core | yes | -| `vector-search` | Forward to vestige-core | yes | -| `ort-dynamic` | Forward to vestige-core | no | - -Build commands (from CONTRIBUTING.md): -- Full: `cargo install --path crates/vestige-mcp` -- No-embeddings (tiny): `cargo install --path crates/vestige-mcp --no-default-features` -- Dynamic ORT (glibc < 2.38): `cargo install --path crates/vestige-mcp --no-default-features --features ort-dynamic,vector-search` - ---- - -## 5. `apps/dashboard` — SvelteKit + Three.js Frontend - -### 5.1 Purpose - -Interactive 3D graph + CRUD + analytics dashboard. Built with SvelteKit 2 + Svelte 5 runes, embedded into the Rust binary via `include_dir!` and served at `/dashboard/`. - -### 5.2 Tech stack - -- **SvelteKit 2.53** + **Svelte 5.53** (runes: `$state`, `$props`, `$derived`, `$effect`). -- **Three.js 0.172** — WebGL, MSAA, ACESFilmic tone mapping. -- **Tailwind CSS 4.2** — custom `@theme` block (synapse, dream, memory, recall, decay colors + 8 node-type palette). -- **TypeScript 5.9** — strict mode. -- **Vite 6.4** + **Vitest 4.0.18** (251 tests). -- **@playwright/test 1.58** — E2E ready (journeys live in `tests/vestige-e2e-tests/`). - -### 5.3 Routes (SvelteKit file-based) - -Grouped under `(app)/`: - -| Route | File | Purpose | -|---|---|---| -| `/` | `+page.svelte` | Redirect to `/graph` | -| `(app)/graph` | `+page.svelte` | **Primary 3D graph** (Graph3D component + color mode toggle + time slider + right panel for detail + legend overlay v2.0.8) | -| `(app)/memories` | `+page.svelte` | Memory browser (search, filter by type/tag/retention, suppress button v2.0.7) | -| `(app)/intentions` | `+page.svelte` | Prospective memory + predictions (status tabs, trigger icons, priority labels) | -| `(app)/stats` | `+page.svelte` | Health dashboard, retention distribution, endangered memories, run-consolidation button | -| `(app)/timeline` | `+page.svelte` | Chronological browse (days dropdown, expandable day cards) | -| `(app)/feed` | `+page.svelte` | Live event stream (200-event FIFO buffer, PipelineVisualizer on SearchPerformed) | -| `(app)/explore` | `+page.svelte` | Associations / Chains / Bridges mode toggle + Importance Scorer | -| `(app)/settings` | `+page.svelte` | Operations + config + keyboard shortcuts reference | - -### 5.4 Root layout (`src/routes/+layout.svelte`) - -- Desktop sidebar (8 nav items) + mobile bottom nav (5 items). -- **Command palette (⌘K)** — opens a search bar that navigates. -- **Single-key shortcuts** — G/M/T/F/E/I/S for routes. -- **Status footer** — connection indicator, memory count, avg retention, suppressed count (v2.0.5), uptime (v2.0.7: `up {formatUptime($uptimeSeconds)}`). -- **ForgettingIndicator** — violet badge showing suppressed count. -- Ambient orb background animations (CSS). - -### 5.5 Components (`src/lib/components/`) - -| Component | Purpose | -|---|---| -| `Graph3D.svelte` | **The 3D canvas.** Props: `nodes[]`, `edges[]`, `centerId`, `events[]`, `isDreaming`, `colorMode` (v2.0.8), `onSelect`, `onGraphMutation`. Owns the Three.js scene and all module init. | -| `MemoryStateLegend.svelte` (v2.0.8) | Floating overlay explaining 4 FSRS buckets — only renders when `colorMode === 'state'`. | -| `PipelineVisualizer.svelte` | 7-stage cognitive search animation (Overfetch → Rerank → Temporal → Access → Context → Compete → Activate). Shown in `/feed` when SearchPerformed arrives. | -| `RetentionCurve.svelte` | SVG FSRS-6 decay curve in the graph right panel. `R(t) = e^(-t/S)` with predictions at Now / 1d / 7d / 30d. | -| `TimeSlider.svelte` | Temporal playback scrubber. State: enabled, playing, speed (0.5-2×), sliderValue. Callbacks `onDateChange`, `onToggle`. | -| `ForgettingIndicator.svelte` | Violet badge in sidebar showing suppressed count from Heartbeat. | - -### 5.6 Three.js graph system (`src/lib/graph/`) - -| File | Role | -|---|---| -| `nodes.ts` | `NodeManager`. Fibonacci sphere initial positions, materialize/dissolve/grow animations, shared radial-gradient glow texture (128px) that prevents square bloom artifacts (issue #31). **v2.0.8:** `ColorMode` ('type' / 'state'), `getMemoryState(retention)`, `MEMORY_STATE_COLORS`, `MEMORY_STATE_DESCRIPTIONS`, `setColorMode(mode)` idempotent in-place retint. **2026-04-19:** dark-glass-pill label redesign (dimmer `#94a3b8` slate on `rgba(10,16,28,0.82)` pill with hairline stroke). | -| `edges.ts` | `EdgeManager`. Violet `#8b5cf6` lines; opacity = 25% + 50% × weight, capped at 80%. Grow/dissolve animations. | -| `force-sim.ts` | Repulsion 500, attraction 0.01 × edge weight × distance, damping 0.9, centering 0.001α. N² but fine up to ~1000 nodes at 60fps. | -| `particles.ts` | `ParticleSystem`. Starfield (3000 points on spherical shell r=600-1000) + neural particles (500 oscillating sin-wave). | -| `effects.ts` | `EffectManager`. 12 effect types (SpawnBurst, Shockwave, RainbowBurst, RippleWave, Implosion, Pulse, ConnectionFlash, etc.). | -| `events.ts` | `mapEventToEffects()` — maps every one of the 19 VestigeEvent variants to a visual effect. Live-spawn mechanics: new nodes spawn near semantically related existing nodes (tag + type scoring), FIFO eviction at 50 nodes. | -| `scene.ts` | Scene factory. Camera 60° FOV at (0, 30, 80). ACESFilmic tone mapping, exposure 1.25, pixel ratio clamped ≤2×. **UnrealBloomPass:** strength 0.55, radius 0.6, threshold 0.2 (retuned v2.0.8 for radial-gradient sprites). OrbitControls with auto-rotate 0.3°/frame. | -| `dream-mode.ts` | Smooth 2s lerp between NORMAL (bloom 0.8, rotate 0.3, fog dense) and DREAM (bloom 1.8, rotate 0.08, nebula 1.0, chromatic 0.005). Aurora lights cycle hue in dream. | -| `temporal.ts` | `filterByDate(nodes, edges, cutoff)`, `retentionAtDate(current, stability, created, target)` using FSRS decay formula. Enables the TimeSlider preview. | -| `shaders/nebula.frag.ts` | Nebula background fragment shader (purple → cyan → magenta cycle with turbulence). | -| `shaders/post-processing.ts` | Chromatic aberration, vignette, subtle distortion. Parameters lerp with dream-mode. | - -### 5.7 Stores (`src/lib/stores/`) - -| Store | Exports | Purpose | -|---|---|---| -| `api.ts` | `api.memories.*`, `api.search`, `api.graph`, `api.explore`, `api.stats`, `api.health`, `api.retentionDistribution`, `api.timeline`, `api.dream`, `api.consolidate`, `api.predict`, `api.importance`, `api.intentions` | 23 REST client methods | -| `websocket.ts` | `websocket` (writable), `isConnected`, `eventFeed`, `heartbeat`, `memoryCount`, `avgRetention`, `suppressedCount`, `uptimeSeconds`, `formatUptime(secs)` | WebSocket connection + derived state. FIFO 200-event ring buffer. Exponential backoff reconnect (1s → 30s). | -| `graph-state.svelte.ts` | (unused artifact from v2.0.6) | — | - -### 5.8 Types (`src/lib/types/index.ts`) - -Exported: `Memory`, `SearchResult`, `MemoryListResponse`, `SystemStats`, `HealthCheck`, `RetentionDistribution`, `GraphNode`, `GraphEdge`, `GraphResponse`, `DreamResult`, `DreamInsight`, `ImportanceScore`, `ConsolidationResult`, `SuppressResult`, `UnsuppressResult`, `IntentionItem`, `VestigeEventType`, `VestigeEvent`, `NODE_TYPE_COLORS` (8 types), `EVENT_TYPE_COLORS` (19 events), `ColorMode`, `MemoryState` (v2.0.8). - -### 5.9 Tests (`src/lib/graph/__tests__/`) - -| File | Tests | Lines | Covers | -|---|---|---|---| -| `color-mode.test.ts` **(v2.0.8, new)** | 80 | 664 | `getMemoryState` boundaries (12 retentions including NaN/±∞/>1/<0), palette integrity, `getNodeColor` dispatch, `NodeManager.setColorMode` idempotence + in-place retint + userData preservation + suppression channel isolation | -| `nodes.test.ts` | 32 | 456 | NodeManager lifecycle, easings, Fibonacci distribution | -| `edges.test.ts` | 21 | 314 | EdgeManager grow/dissolve, opacity-by-weight | -| `force-sim.test.ts` | 19 | 257 | Physics convergence, add/remove | -| `effects.test.ts` | 30 | 500 | All 12 effect types | -| `events.test.ts` | 48 | 864 | Every one of the 19 event handlers + live-spawn + eviction | -| `ui-fixes.test.ts` | 21 | 236 | Bloom retuning, glow-texture gradient, fog density, regression tests for issue #31 | -| **Total** | **251** | **3,291** | | - -Infrastructure: `three-mock.ts` (Scene / Mesh / Sprite / Material mocks), `setup.ts` (canvas context mocks including `beginPath`/`closePath`/`quadraticCurveTo` added tonight for the pill redesign), `helpers.ts` (node/edge/event factories). - -### 5.10 Build - -- `pnpm run build` → static SPA in `apps/dashboard/build/`. -- Precompressed `.br` + `.gz` per asset (adapter-static). -- **Embedded into `vestige-mcp` binary** at compile time via `include_dir!("$CARGO_MANIFEST_DIR/../../apps/dashboard/build")`. Every Rust build rebakes the dashboard snapshot. - ---- - -## 6. Integrations & Packaging - -### 6.1 IDE integration matrix (`docs/integrations/*.md`) - -All 8 IDEs documented. The common install flow: (a) download `vestige-mcp` binary, (b) point IDE's MCP config at its absolute path, (c) restart IDE, (d) verify with `/context` or equivalent. - -| IDE | Config path | Notable | -|---|---|---| -| Claude Code | `~/.claude.json` or project `.mcp.json` | Inline in `CONFIGURATION.md`; one-liner install | -| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` | Inline in `CONFIGURATION.md` | -| Cursor | `~/.cursor/mcp.json` | Absolute paths required (Cursor doesn't resolve relatives reliably) | -| VS Code (Copilot) | `.vscode/mcp.json` OR User via command | **Uses `"servers"` key, NOT `"mcpServers"`** — Copilot-specific schema. Requires agent mode enabled. | -| Codex | `~/.codex/config.toml` | TOML not JSON. `codex mcp add vestige -- /usr/local/bin/vestige-mcp` helper. | -| Xcode | Project-level `.mcp.json` | **Xcode 26.3's `claudeai-mcp` feature gate blocks global config. Project-level `.mcp.json` in project root bypasses entirely.** First cognitive memory server for Xcode. Sandboxed agents do NOT inherit shell env — absolute paths mandatory. | -| JetBrains / Junie | `.junie/mcp/mcp.json` or UI config | 2025.2+. Three paths: Junie autoconfig, Junie AI config, external MCP client. | -| Windsurf | `~/.codeium/windsurf/mcp_config.json` | Supports `${env:HOME}` variable expansion. Cascade AI. | - -### 6.2 npm packages - -| Package | Version | Role | -|---|---|---| -| `vestige-mcp-server` (in `packages/vestige-mcp-npm`) | 2.0.7 | Binary wrapper — postinstall downloads the platform-appropriate release asset from GitHub. Bins: `vestige-mcp`, `vestige`. | -| `@vestige/init` (in `packages/vestige-init`) | 2.0.7 | Interactive zero-config installer. Bin: `vestige-init`. | -| `packages/vestige-mcpb/` | — | Legacy, abandoned. | - -**Publish status:** v2.0.6 is live on npm. **v2.0.7 pending Sam's Touch ID** (WebAuthn 2FA flow, not TOTP — has to be triggered from Sam's machine). - -### 6.3 GitHub release workflow (`release.yml`) - -Triggered on tag push (`v*`) OR manual `workflow_dispatch`. Matrix: - -| Target | Runner | Artifact | Status | -|---|---|---|---| -| `aarch64-apple-darwin` | macos-latest | `vestige-mcp-aarch64-apple-darwin.tar.gz` | ✅ | -| `x86_64-unknown-linux-gnu` | ubuntu-latest | `vestige-mcp-x86_64-unknown-linux-gnu.tar.gz` | ✅ | -| `x86_64-pc-windows-msvc` | windows-latest | `vestige-mcp-x86_64-pc-windows-msvc.zip` | ✅ | -| `x86_64-apple-darwin` (Intel Mac) | **DROPPED in v2.0.7** | — | ❌ `ort-sys 2.0.0-rc.11` (pinned by fastembed 5.13.2) has no Intel Mac prebuilt | - -Each artifact contains three binaries: `vestige-mcp`, `vestige`, `vestige-restore`. - -### 6.4 CI workflow (`ci.yml`) - -Triggers: push main + PR main. Runs on macos-latest + ubuntu-latest. Steps: `cargo check` → `cargo clippy --workspace -- -D warnings` → `cargo test --workspace`. **Tonight's fix:** Rust 1.95 introduced `unnecessary_sort_by` (12 sites fixed) + `collapsible_match` (1 site fixed in `memory_states.rs`, 1 `#[allow]` on `websocket.rs` because match guards can't move non-Copy `Bytes`). - -### 6.5 Test workflow (`test.yml`) - -5 parallel jobs: `unit-tests`, `mcp-tests`, `journey-tests` (depends on unit), `dashboard` (pnpm + vitest), `coverage` (LLVM + Codecov). Env: `VESTIGE_TEST_MOCK_EMBEDDINGS=1` to skip ONNX model download in CI. - -### 6.6 Xcode setup script (`scripts/xcode-setup.sh`) - -4.9 KB interactive installer. (a) detect/install binary, (b) offer project picker under `~/Developer`, (c) generate `.mcp.json`, (d) optionally batch-install to all detected projects. Supports SHA-256 checksum verification. - ---- - -## 7. `vestige-cloud` — Current Skeleton - -**Location:** `/Users/entity002/Developer/vestige-cloud` (separate git repo, private). - -**Status as of 2026-04-19:** single-commit skeleton from 2026-02-12 (8 weeks old, one feature commit `4e181a6`). ~600 LOC. - -### 7.1 Structure - -``` -vestige-cloud/ -├── Cargo.toml # workspace, path-dep on ../vestige/crates/vestige-core -├── Cargo.lock -└── crates/ - └── vestige-http/ - ├── Cargo.toml # binary: vestige-http - └── src/ - ├── main.rs # Axum server on :3927, auth + cors middleware - ├── auth.rs # Single bearer token via VESTIGE_AUTH_TOKEN env (auto-generated if unset, stored in data-dir) - ├── cors.rs # prod: allowlist vestige.dev + app.vestige.dev; dev: permissive - ├── state.rs # Arc> shared state (SINGLE TENANT) - ├── sse.rs # /mcp/sse STUB — 3 TODOs, returns one static "endpoint" event - └── handlers/ - ├── mod.rs - ├── health.rs # GET /health (version + memory count) - ├── api.rs # REST CRUD: search, list, create, get, delete, promote, demote, stats, smart_ingest - ├── mcp.rs # POST /mcp JSON-RPC 2.0 — **ONLY 5 TOOLS** (search, smart_ingest, memory, promote_memory, demote_memory) - └── sync.rs # POST /sync/push + /sync/pull (sync/pull has TODO for `since` filter) -``` - -### 7.2 Gap analysis vs. current `vestige-mcp` - -| Dimension | vestige-mcp v2.0.7 | vestige-cloud Feb skeleton | Gap | -|---|---|---|---| -| MCP tools | 24 | 5 | 19 tools missing (session_context, dream, explore_connections, predict, importance_score, find_duplicates, memory_timeline, memory_changelog, memory_health, memory_graph, deep_reference, consolidate, backup, export, gc, restore, intention, codebase, suppress/unsuppress) | -| MCP transport | stdio + HTTP | HTTP only, no Streamable HTTP | Needs full Streamable HTTP (`Mcp-Session-Id` header, bidirectional, Last-Event-ID reconnect) per 2025-06-18 spec | -| Multi-tenancy | N/A (local) | **Single tenant** (one storage, one API key) | Need per-user DB, row-level scoping, or DB-per-tenant sharding | -| Auth | Local token | Single bearer | Need JWT, OAuth, scopes, org membership, token rotation | -| Billing | N/A | none | Need Stripe, entitlement, plans, webhooks | -| Observability | `tracing` only | `tracing` only | Need Prometheus / OTLP export, dashboards, rate limits, error budget | -| Sync | N/A | lossy push + unfiltered pull | Need tombstones, incremental pull by `since`, conflict resolution | -| Deploy | binaries + npm | **none** | Need Dockerfile, fly.toml, CI, docs | - -### 7.3 Two upgrade paths - -- **Path A (v2.6.0 "Remote"):** Upgrade the Feb skeleton to match v2.0.7 surface (5 → 24 tools), implement Streamable HTTP, ship Dockerfile + fly.toml. **Keep single-tenant.** Ship as "deploy your own Vestige on a VPS." -- **Path B (v3.0.0 "Cloud"):** Multi-tenant SaaS. Weeks of work on billing, per-tenant DB, ops. Not viable until v2.6 has traction + cashflow. - -The recommendation in Part 9 is **A only** for now. B is gated on demand signal + runway. - ---- - -## 8. Version History (v1.0 → v2.0.8) - -### 8.1 Shipped releases - -| Version | Tag | Date | Theme | Headline | -|---|---|---|---|---| -| v1.0.0 | v1.0.0 | 2026-01-25 | Initial | First MCP server with FSRS-6 memory | -| v1.1.x | v1.1.0/1/2 | — | CLI separation | stats/health moved out of MCP to CLI | -| v1.3.0 | v1.3.0 | — | — | Importance scoring, session checkpoints, duplicate detection | -| v1.5.0 | v1.5.0 | — | — | Cognitive engine, memory dreaming, graph exploration, predictive retrieval | -| v1.6.0 | v1.6.0 | — | — | 6× storage reduction, neural reranking, instant startup | -| v1.7.0 | v1.7.0 | — | — | 18 tools, automation triggers, SQLite perf | -| v1.9.1 | v1.9.1 | — | Autonomic | Self-regulating memory, graph visualization | -| **v2.0.0** | v2.0.0 | **2026-02-22** | "Cognitive Leap" | 3D SvelteKit+Three.js dashboard, WebSocket event bus (16 events), HyDE query expansion, Nomic v2 MoE option, Command palette, bloom post-processing | -| v2.0.1 | v2.0.1 | — | — | Release rebuild, install fixes | -| v2.0.3 | v2.0.3 | — | — | Clippy fixes, CI alignment | -| v2.0.4 | v2.0.4 | 2026-04-09 | "Deep Reference" | **8-stage cognitive reasoning tool, `cross_reference` alias**, retrieval_mode (precise/balanced/exhaustive), token budgets raised 10K → 100K, CORS hardening | -| v2.0.5 | v2.0.5 | 2026-04-14 | "Intentional Amnesia" | **Active forgetting** — suppress tool #24, Rac1 cascade (72h async neighbour decay), 24h labile reversal window, graph node visual suppression (20% opacity, no emissive) | -| v2.0.6 | v2.0.6 | 2026-04-18 | "Composer" | 6 live graph reactions (Suppressed, Unsuppressed, Rac1, Connected, ConsolidationStarted, ImportanceScored), `VESTIGE_SYSTEM_PROMPT_MODE=full` opt-in | -| **v2.0.7** | v2.0.7 | 2026-04-19 | "Visible" | V11 migration drops dead tables; `/api/memories/{id}/suppress` + `/unsuppress` endpoints + UI button; sidebar `up 3d 4h` footer via `uptime_secs`; graph error-state split; `predict` degraded flag; `changelog` start/end honored; `intention` include_snoozed; `suppress` MCP tool (was dashboard-only); tool-count reconciled 23 → 24; Intel Mac dropped from release workflow; defensive `Err` on unknown export format | -| **v2.0.8** | *(unreleased, merged to main 2026-04-19 22:10 CT)* | — | — | FSRS memory-state colour mode (`ColorMode` type/state toggle) + floating legend + dark-glass-pill label redesign + 80 new tests + Rust 1.95 clippy compat (12 sites) | - -### 8.2 Current git state - -- **HEAD:** `main` at `30d92b5` "feat(graph): redesign node labels as dark glass pills" -- **Last 4 commits on main (v2.0.8):** - - `30d92b5` — Label pill redesign - - `d7f0fe0` — 80 new color-mode tests - - `318d4db` — Rust 1.95 clippy compat - - `4c20165` — Memory-state color mode + legend -- **Branches:** - - `main` (default, protected via CI-must-pass) - - `feat/v2.0.8-memory-state-colors` (fast-forwarded into main tonight) - - `feat/v2.1.0-qwen3-embed` (Day 2 done; Day 3 pending on Sam's M3 Max arrival) - - `chore/v2.0.7-clean` (post-v2.0.7 cleanup branch) - - `wip/v2.0.7-v11-migration` (transport branch for cross-machine stash) -- **Latest tag:** `v2.0.7` (force-updated on main after v2.0.6 rebase incident) -- **Latest CI run on main:** #24646176395 ✅ all 4 jobs (Test macos, Test ubuntu, Release aarch64-darwin, Release x86_64-linux) - -### 8.3 Open GitHub issues / PRs - -- **Closed #35** — "npm publish delay 2.0.6"; replied in v2.0.6 with one-liner install command -- **Open #36** — desaiuditd: "hooks-for-automatic-memory request" — customer conversion opportunity, not yet responded - ---- - -## 9. The Next-Phase Plan - -**Shipping cadence:** weekly minor bumps (v2.1 → v2.2 → v2.3 ...) until v3.0 which gates on multi-tenancy + CoW storage. Ships ~Monday each week with content post same day + follow-up Wednesday + YouTube Friday. - -### 9.1 v2.1.0 "Decide" — Qwen3 embeddings *(in-flight)* - -**Branch:** `feat/v2.1.0-qwen3-embed` (pushed). -**Status:** scaffolding merged; Day 3 pending. -**ETA:** ~1 week after M3 Max arrival (FedEx hold at Walgreens, pickup 2026-04-20). - -**What's in:** `qwen3-embed` feature flag gates a Candle-based Qwen3 embed backend. `qwen3_format_query()` helper for the query-instruction prefix. Metal device selection with CPU fallback. `DEFAULT_DIMENSIONS` feature-gated 256/1024. Dual-index routing scaffolded. - -**What's left (Day 3):** -- Storage write-path records `embedding_model` per node. -- `semantic_search_raw` uses `qwen3_format_query` when feature active. -- Dual-index routing: old Nomic-256 nodes stay on their HNSW, new Qwen3-1024 nodes go on a new HNSW. Search merges with trust weighting. -- End-to-end test: ingest on Qwen3 → retrieve on Qwen3 at higher accuracy than Nomic. - -**Test gate:** `cargo test --workspace --features qwen3-embed --release` green. Current baseline: 366 core + 425 mcp passing. - -### 9.2 v2.2.0 "Pulse" — Subconscious Cross-Pollination **★ VIRAL LOAD-BEARING RELEASE** - -**ETA:** 1-2 weeks after v2.1 lands. - -**What it does:** While the user is doing anything else (typing a blog post, looking at a different tab, doing nothing), Vestige's running `dream()` in the background. When dream completes with `insights_generated > 0` or a `ConnectionDiscovered` event fires from spreading activation, **the dashboard pulses a toast** on the side: *"Vestige found a connection between X and Y. Here's the synthesis."* The bridging edge in the 3D graph flashes cyan and briefly thickens. - -**Why viral:** This is the single most tweet/YouTube-friendly demo in the entire roadmap. It is the "my 3D brain is thinking for itself" moment. - -**Backend (≈2 days):** -1. `ConsolidationScheduler` gains a "pulse" hook: after each cycle, if `insights_generated > 0` emit a new `InsightSurfaced` event with `{source_memory_id, target_memory_id, synthesis_text, confidence}`. -2. The existing `ConnectionDiscovered` event gets a richer payload: include both endpoint IDs + a templated synthesis string derived from the two memories' content. -3. Rate-limit pulses: max 1 per 15 min unless user is actively using the dashboard. - -**Frontend (≈5 days):** -1. New Svelte component `InsightToast.svelte` — slides in from right, shows synthesis text + "View connection" button, auto-dismisses after 10s. -2. `events.ts` mapping: `InsightSurfaced` → locate bridging edge in graph, pulse it cyan for 2s, thicken to 2× for 500ms, play a soft chime (optional, muted by default). -3. Toast queue so rapid dreams don't flood. -4. Preference: user can toggle pulse sound / toast / edge animation independently in `/settings`. - -**Already exists (nothing to build):** -- `dream()` 5-stage cycle — YES -- `DreamCompleted` event with `insights_generated` — YES -- `ConnectionDiscovered` event + WebSocket broadcast — YES -- 3D edge animation system in `events.ts` — YES (handler exists, just doesn't emit toast) -- ConsolidationScheduler running on `VESTIGE_CONSOLIDATION_INTERVAL_HOURS` — YES - -**Never-composed alarm:** Four existing components, zero lines of composition. This feature is **~90% latent in v2.0.7**. All we do is press the button. - -**Acceptance criteria:** -- Start Vestige, idle for 10 min, verify a pulse fires from scheduled dream cycle. -- Ingest 3 semantically adjacent memories from completely different domains (e.g., F1 aerodynamics, memory leak, fluid dynamics), trigger dream, verify connection pulse fires with synthesis text mentioning both source + target. -- Dashboard test coverage: add `pulse.test.ts` with 15+ cases covering toast queue, rate limit, event shape, edge animation. - -**Launch day:** Film a 90-second screen recording. Post to Twitter + Hacker News + LinkedIn + YouTube same day. - -### 9.3 v2.3.0 "Rewind" — Time Machine - -**ETA:** 2-3 weeks after v2.2 ships. - -**What it does:** The graph page gets a horizontal time slider. Drag back in time → nodes dim based on retroactive FSRS retention, edges that were created after the slider's timestamp dissolve visibly, suppressed memories un-dim to their pre-suppression state. A "Pin" button snapshots the current slider state into a named checkpoint the user can return to. - -**Backend (≈4 days):** -1. New core API: `Storage::memory_state_at(memory_id, timestamp) -> MemorySnapshot` — reconstructs a node's FSRS state at an arbitrary past timestamp by replaying `state_transitions` forward OR applying FSRS decay backward from the current state. -2. New MCP tool: `memory_graph_at(query, depth, max_nodes, timestamp)` — the existing graph call with a time parameter. -3. New MCP tool: `pin_state(name, timestamp)` — persists a named snapshot (just a row in a new `pins` table: name, timestamp, created_at). -4. New core API: `list_pins()` + `delete_pin(name)`. - -**Frontend (≈7 days):** -1. `TimeSlider.svelte` already exists as a scaffold (listed in §5.5) — upgrade it to an HTML5 range input + play/pause + speed control. -2. Graph3D consumes a new `asOfTimestamp` prop. When set, uses `temporal.ts::retentionAtDate()` to re-project every node's opacity + size. -3. Edges: hide those with `created_at > slider`. Animate the dissolution so sliding feels organic. -4. Pin sidebar: list pinned states, click to jump, rename/delete. - -**Cut from scope: branching.** Git-like "what if I forgot my Python biases" requires CoW storage = full schema migration = v3.0 territory. Scope it out explicitly. - -**Acceptance criteria:** -- Slide back 30 days, verify node count drops to whatever existed 30 days ago. -- Slide back through a suppression event, verify node un-dims. -- Pin "before Mays deadline", verify pin jumps restore exact state. - -### 9.4 v2.4.0 "Empathy" — Emotional Context Tagging **★ FIRST PRO-TIER GATE CANDIDATE** - -**ETA:** 2-3 weeks after v2.3 ships. - -**What it does:** Vestige's MCP middleware watches tool call metadata for frustration signals — repeated retries of the same query, CAPS LOCK content, explicit correction phrases ("no that's wrong", "actually..."), rapid-fire consecutive calls. When detected, the current active memory gets an automatic `ArousalSignal` boost and a `frustration_detected_at` timestamp. Next session, when the user returns to a similar topic, the agent proactively surfaces: *"Last time we worked on this, you were frustrated with the API docs. I've pre-read them."* - -**Why Pro-tier:** Invisible to demo (so doesn't hurt OSS growth), creates deep lock-in, quantifiable value ("Vestige saved you X minutes of re-frustration this month"), clear paid-hook rationale. - -**Backend (≈4 days):** -1. New middleware layer in `vestige-mcp` between JSON-RPC dispatch and tool execution: `FrustrationDetector`. Analyzes tool args for: (a) retry pattern (same `query` field within 60s), (b) content ≥70% caps after lowercase comparison, (c) correction regex (`no\s+that|actually|wrong|fix this|try again`). -2. On detection, fire a synthesized `ArousalSignal` to `ImportanceTracker` for the most-recently-accessed memory. -3. New core API: `find_frustration_hotspots(topic, limit)` → returns memories with `arousal_score > threshold` + their `frustration_detected_at` timestamps. -4. `session_context` tool gains a new field: `frustration_warnings[]` — "Topic X had previous frustration; here's what we know." - -**Frontend (≈3 days):** -1. Memory detail pane shows an orange "Frustration" badge for high-arousal memories. -2. `/stats` adds a "Frustration hotspots" section. - -**Acceptance criteria:** -- Simulate 3 rapid retries of the same query, verify ArousalSignal boosts the active memory. -- Simulate caps-lock content, verify detection. -- Return to same topic next session, verify `session_context` surfaces warning. - -### 9.5 v2.5.0 "Grip" — Neuro-Feedback Cluster Gestures - -**ETA:** 2 weeks after v2.4 ships. - -**What it does:** In the 3D graph, drag a memory sphere to "grab" it — its cluster highlights. Squeeze (pinch gesture or modifier key + drag inward) → promotes the whole cluster. Flick away (throw gesture) → triggers decay on the cluster. - -**Backend (≈2 days):** -1. New MCP tool: `promote_cluster(memory_ids[])` — applies promote to each. -2. New MCP tool: `demote_cluster(memory_ids[])` — inverse. -3. Cluster detection helper: `find_cluster(source_id, similarity_threshold)` — leverages existing `find_duplicates` + spreading activation. - -**Frontend (≈5 days):** -1. Three.js gesture system: drag detection, cluster highlight (emissive pulse on all cluster members), squeeze detection (pointer velocity inward), flick detection (pointer velocity outward past threshold). -2. Visual feedback: green ring on squeeze (promote), red dissipation on flick (demote). -3. Accessibility: keyboard alternative — select node, press `P` / `D` to promote/demote cluster. - -### 9.6 v2.6.0 "Remote" — `vestige-cloud` Self-Host Upgrade - -**ETA:** 3 weeks after v2.5 ships. First paid-tier candidate if empathy doesn't convert first. - -**What it does:** Turns the Feb `vestige-cloud` skeleton into a shippable self-host product. One-liner install → Docker container or fly.io deploy → point Claude Desktop/Cursor/Codex at the remote URL → cloud-persistent memory across all your devices. - -**Scope:** -1. Upgrade MCP handler from 5 → 24 tools (port each tool from `crates/vestige-mcp/src/tools/`). -2. Implement **MCP Streamable HTTP transport** (spec 2025-06-18): `Mcp-Session-Id` header, bidirectional event stream, Last-Event-ID reconnect, JSON-RPC batching. -3. Per-user SQLite at `/data/$USER_ID.db` (single-tenant but scoped by `VESTIGE_USER_ID` env — "single-tenant but deploy-multiple"). -4. `Dockerfile` (multi-stage: Rust build + fastembed model baked in). -5. `fly.toml` with persistent volume mount on `/data`. -6. `docker-compose.yml` for local Postgres-if-needed (probably not — stick with SQLite for self-host). -7. `scripts/cloud-deploy.sh` one-liner installer. -8. Docs: `docs/cloud/self-host.md` step-by-step. - -**Explicitly OUT of scope for v2.6:** Stripe, multi-tenant DB, user accounts, rate limits, billing. Those are v3.0. - -### 9.7 v3.0.0 "Branch" — CoW memory branching + SaaS multi-tenancy - -**ETA:** Q3 2026 at earliest. Gated on: -- v2.6 adoption signal (≥500 self-host deployments) -- Sam's runway (needs pre-revenue or funding) -- Either Mays, Orbit Wars, or another cash injection - -**What it does:** -1. **Memory branching** — git-like CoW over SQLite. Branch a memory state, diverge freely, merge or discard. "What if I forgot all my Python biases and approached this memory as a Rust expert" becomes a one-button operation. -2. **Multi-tenant SaaS** at `vestige.dev` / `app.vestige.dev`. Per-user DB shards, JWT auth + OAuth providers, Stripe subscriptions with entitlement gates, org membership, team shared memory with role-based access. - -**Major subsystems required:** -- Storage layer rewrite for CoW semantics (or adopt Dolt/sqlcipher with branching). -- Auth: JWT + OAuth (Google, GitHub, Apple) + bcrypt fallback. -- Billing: Stripe subscriptions + webhooks + dunning. -- Admin dashboard: support, usage analytics, churn. -- Multi-region: at minimum US-east + EU (GDPR). -- Observability: Prometheus + Grafana + Sentry + Honeycomb tracing. - -**Explicitly NOT a v2.x goal.** Any earlier attempt burns runway. - -### 9.8 Summary roadmap table - -| Version | Codename | Theme | Effort | Load-bearing for | ETA | -|---|---|---|---|---|---| -| v2.1 | Decide | Qwen3 embeddings | ~1 week | Retrieval quality + differentiation vs. Nomic | Days | -| **v2.2** | **Pulse** | **Subconscious cross-pollination** | **~1 week (mostly latent)** | **★ Viral launch moment** | **~2 weeks** | -| v2.3 | Rewind | Time machine (slider + pin) | ~2 weeks | Technical moat, impressive demo | ~5 weeks | -| v2.4 | Empathy | Frustration detection → arousal boost | ~1 week | **First Pro-tier gate candidate** | ~7 weeks | -| v2.5 | Grip | Cluster gestures | ~1 week | Polish | ~9 weeks | -| v2.6 | Remote | vestige-cloud self-host (5→24 tools + Streamable HTTP + Docker) | ~3 weeks | Foundation for SaaS; secondary Pro-tier gate | ~12 weeks | -| v3.0 | Branch | CoW branching + multi-tenant SaaS | ~3 months | Revenue | Q3 2026 at earliest | - ---- - -## 10. Composition Map - -For each v2.x feature, what existing primitives does it compose? - -| Feature | Existing primitive | How composed | -|---|---|---| -| v2.2 Pulse | `dream()` + `ConsolidationScheduler` + `ConnectionDiscovered` event + Three.js `events.ts::mapEventToEffects` | Consume the already-firing events; add toast UI + richer synthesis payload | -| v2.3 Rewind slider | `state_transitions` append log + FSRS decay formula + `temporal.ts::retentionAtDate()` + existing `TimeSlider.svelte` stub | Retroactive state reconstruction + slider upgrade | -| v2.3 Rewind pins | `smart_ingest` patterns + new `pins` table | Thin new table + two new tools | -| v2.4 Empathy | `ArousalSignal` (already in ImportanceSignals 4-channel model) + middleware pattern + `ImportanceTracker` | New middleware layer feeds existing arousal channel | -| v2.5 Grip | `find_duplicates` clustering + `promote`/`demote` + v2.0.8 Three.js node picking | Cluster-level wrapper over per-node operations | -| v2.6 Remote | v2.0.7 MCP tool implementations + vestige-cloud Feb skeleton + Axum | Port tools; implement Streamable HTTP; containerize | -| v3.0 Branch | Requires new CoW storage layer — **no existing primitive composes here** | Greenfield storage rewrite | -| v3.0 SaaS | Requires new auth + billing + multi-tenancy — **no existing primitive composes** | Greenfield | - -**Key insight:** v2.2-v2.6 are all ≥60% latent in existing primitives. v3.0 is the first release that requires significant greenfield work. This is why sequencing matters: ride the existing primitives to revenue, then greenfield. - ---- - -## 11. Risks & Known Gaps - -### 11.1 Technical - -| Risk | Impact | Mitigation | -|---|---|---| -| `ort-sys 2.0.0-rc.11` prebuilt gaps (Intel Mac dropped, Windows MSVC with usearch 2.24 broken) | Fewer platforms ship | Wait for ort-sys 2.1; or migrate to Candle throughout (v2.1 Qwen3 already uses Candle) | -| `usearch` pinned to 2.23.0 (2.24 regression on MSVC) | Windows build fragility | Monitor usearch#746 | -| fastembed model download (~130MB for Nomic, ~500MB for Qwen3) on first run blocks sandboxed Xcode | UX friction | Cache at `~/Library/Caches/com.vestige.core/fastembed` — documented in Xcode guide; pre-download from terminal once | -| Tool count drift (23 vs 24 across docs) | User trust | Reconciled in v2.0.7 (`docs: tool-count reconciliation`) | -| Large build times (cargo release 2-3 min incremental, 6+ min clean) | Slow iteration | M3 Max arriving Apr 20 will halve this | -| `include_dir!` bakes dashboard build into binary at compile time | Have to rebuild Rust to update dashboard | Accept as design; HMR via `pnpm dev` for iteration | - -### 11.2 Product - -| Risk | Impact | Mitigation | -|---|---|---| -| OSS-growth-before-revenue means months of zero cash | Sam can't pay rent | Mays May 1 ($400K+), Orbit Wars June 23 ($5K × top 10), part-time Wrigley Field during Cubs season | -| `deep_reference` is the crown jewel but rarely invoked | Users don't discover it | `CLAUDE.md` flags it; v2.2 Pulse farms the viral moment to drive awareness | -| Subconscious Pulse may fire too often or too rarely | User annoyance or missed value | Rate limit: max 1 pulse per 15 min; user-adjustable in settings | -| Emotional tagging may over-fire (every caps lock = frustration?) | False positives | Require ≥2 signals (retry + caps, or retry + correction) before boost | -| v3.0 SaaS burns runway if started too early | Business-ending | Gated on v2.6 adoption + cash injection | -| Copycat risk (Zep, Cognee, etc.) cloning Vestige's features | Eroded differentiation | AGPL-3.0 protects network use; neuroscience depth is hard to fake; time slider + subconscious pulse are visible moats | -| Cross-IDE MCP standard changes (Streamable HTTP spec moved 2024-11-05 → 2025-06-18) | Breaking transport changes | v2.6 implements the newer spec; keep 2024-11-05 as backward-compat alias | - -### 11.3 Known UI gaps (`docs/launch/UI_ROADMAP_v2.1_v2.2.md`) - -- **26% of MCP tools have zero UI surface** (e.g., `codebase`, `find_duplicates`, `backup`, `export`, `gc`, `restore` — all power-user only). -- **28% of cognitive modules have no visualization** (SynapticTagging, HippocampalIndex, ContextMatcher, CrossProjectLearner, etc.). -- The rainbow-bursted Rac1 cascade in the graph has no numeric "how many neighbours did it touch" display. -- `intention` shows but doesn't let you edit/snooze from the UI. -- `deep_reference` is unreachable from the dashboard (it only surfaces via MCP tool calls). - ---- - -## 12. Viral / Launch / Content Plan - -### 12.1 Content cadence (fixed) - -**Mon–Fri till June 13 graduation:** -- 1-2 posts/day across Twitter + LinkedIn + Hacker News + Reddit r/LocalLLaMA + r/selfhosted -- Weekly YouTube long-form (Friday release) - -### 12.2 Per-release launch playbook - -For every v2.x release: -1. **Monday:** Tag + release + content drop (tweet with 30-90s demo video + HN post). -2. **Tuesday:** LinkedIn long-form + Reddit cross-post. -3. **Wednesday:** Follow-up tweet thread (deep-dive on one specific feature). -4. **Thursday:** Engage with feedback; close issues; publish patch if needed. -5. **Friday:** YouTube long-form (15-25 min walkthrough). Next week's release work continues. - -### 12.3 Viral load-bearing moments - -- **v2.2 "Pulse" launch:** The single biggest viral bet. Subconscious cross-pollination demo → HN front page → Twitter thread → YouTube 10-min walkthrough. -- **v2.3 "Rewind" time slider:** Highly tweet-friendly. Screen recording of sliding back through memory decay. -- **Jarrett Ye (FSRS creator, user L-M-Sherlock) outreach:** Already a stargazer. Email him Sunday night (US time) = Monday AM Beijing with the v2.2 Pulse demo. If he retweets → FSRS community (Anki, maimemo) amplifies. - -### 12.4 Issue #36 (hooks-for-automatic-memory) - -Outstanding from desaiuditd. Response plan: -1. Thank him publicly in the issue. -2. Acknowledge the feature as valid and scoped for v2.2/v2.3. -3. Open a linked sub-issue: "v2.2: Auto-memory hooks" tied to Pulse work. - -### 12.5 Monetization gates - -**Two candidate first-gates:** -1. **v2.4 Empathy (Emotional tagging)** — invisible to OSS demos, strong retention, clean paid-feature framing ("Vestige notices when you're frustrated; free tier gets 100 detection events/month, Pro gets unlimited + frustration hotspot analytics"). -2. **v2.6 Remote (Cloud self-host binary)** — "free binary forever; paid-tier cloud-managed deploy with backups + observability + multi-device sync." - -Pick after v2.2 viral signal tells us whether retention or convenience is the weaker link. - ---- - -## 13. How AI Agents Should Consume This Doc - -### 13.1 First-time read protocol - -If this is the first time you're seeing Vestige: -1. Read Part 0 (Executive Summary) + Part 1 (What Vestige Is). That's 3 minutes. -2. Read Part 9 (The Plan). That's 10 minutes. -3. Bookmark Parts 3-6 for reference. - -### 13.2 When Sam asks you to plan a feature - -1. Check Part 9 — is it already scoped? If yes, that section IS your spec. -2. If not, work it into the existing roadmap: which version should it ship in, what primitives does it compose (Part 10), what risks apply (Part 11)? -3. Follow the `/Users/entity002/.claude/rules/active-synthesis.md` protocol (6 mandatory behaviors): compose, don't summarize. - -### 13.3 When Sam asks you to implement - -1. Find the exact file paths in Parts 3-5. -2. Check existing test coverage (Part 5.9 for dashboard, §3.11 for core). -3. Before claiming something exists, grep or read the source — memory alone is insufficient (per `CLAUDE.md` SCOUR rule). -4. Rust 1.95 toolchain — be aware of the new lints (`unnecessary_sort_by`, `collapsible_match`). - -### 13.4 When Sam asks for strategic advice - -- Apply the `/Users/entity002/.claude/rules/cross-reference.md` rule: check evidence from the exact setup before recommending. -- Apply the `always-positive-energy` rule: recommend the BEST path, not the safest. -- This doc's Part 9 is the committed roadmap. Deviate only with explicit justification. - -### 13.5 Load-bearing files to never forget - -- `/Users/entity002/Developer/vestige/CLAUDE.md` — project-level Claude instructions. -- `/Users/entity002/.claude/rules/active-synthesis.md` — 6 mandatory synthesis behaviors. -- `/Users/entity002/.claude/rules/cross-reference.md` — exact-setup evidence rule. -- `/Users/entity002/CLAUDE.md` — global Claude instructions (SCOUR + always-positive-energy). -- `/Users/entity002/Developer/vestige/docs/launch/UI_ROADMAP_v2.1_v2.2.md` — prior UI research compilation. -- **This file** — `/Users/entity002/Developer/vestige/docs/VESTIGE_STATE_AND_PLAN.md`. - ---- - -## 14. Glossary & Citations - -### 14.1 Acronyms - -| Term | Meaning | -|---|---| -| **MCP** | Model Context Protocol — JSON-RPC protocol for AI tool integration (Anthropic, 2024) | -| **FSRS** | Free Spaced Repetition Scheduler — algorithm by Jarrett Ye (maimemo), generation 6 | -| **PE Gating** | Prediction Error Gating — decide CREATE/UPDATE/SUPERSEDE by similarity threshold | -| **SIF** | Suppression-Induced Forgetting — Anderson 2025 | -| **Rac1** | Rho-family GTPase — actin-destabilization mediator of cascade decay (Cervantes-Sandoval & Davis 2020) | -| **SWR** | Sharp-wave ripple — hippocampal replay pattern used by Vestige's dream cycle | -| **HNSW** | Hierarchical Navigable Small World — graph index for fast approximate nearest neighbour | -| **CoW** | Copy-on-write — storage technique for cheap branching | -| **AGPL** | Affero General Public License — copyleft including network use | - -### 14.2 Neuroscience citations - -- Anderson, M. C. (2025). Suppression-induced forgetting — top-down inhibitory control of retrieval. -- Anderson, M. C., Bjork, R. A., & Bjork, E. L. (1994). Remembering can cause forgetting. -- Bjork, R. A., & Bjork, E. L. (1992). A new theory of disuse and an old theory of stimulus fluctuation. — dual-strength model. -- Brown, R., & Kulik, J. (1977). Flashbulb memories. -- Cervantes-Sandoval, I., & Davis, R. L. (2020). Rac1-mediated forgetting. -- Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. -- Frey, U., & Morris, R. G. M. (1997). Synaptic tagging and long-term potentiation. -- Friston, K. J. (2010). The free-energy principle: a unified brain theory. -- Nader, K., Schafe, G. E., & LeDoux, J. E. (2000). Fear memories require protein synthesis in the amygdala for reconsolidation after retrieval. -- Teyler, T. J., & Rudy, J. W. (2007). The hippocampal indexing theory. -- Tulving, E., & Thomson, D. M. (1973). Encoding specificity and retrieval processes. - -### 14.3 Technical citations - -- MCP Spec (2025-06-18 Streamable HTTP): https://modelcontextprotocol.io/specification -- FSRS-6: https://github.com/open-spaced-repetition/fsrs-rs -- Nomic Embed Text v1.5: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5 -- Qwen3 Embed: https://huggingface.co/Qwen/Qwen3-Embedding-0.6B -- USearch: https://github.com/unum-cloud/usearch -- Jina Reranker v1 Turbo: https://huggingface.co/jinaai/jina-reranker-v1-turbo-en - ---- - -## 15. POST-v2.0.8 ADDENDUM — The Autonomic Turn (added 2026-04-23) - -> This section supersedes portions of sections 9.1-9.8. The April 19 roadmap (v2.1 Decide → v2.2 Pulse → v2.3 Rewind → v2.4 Empathy → v2.5 Grip → v2.6 Remote → v3.0 Branch) remains the long-arc plan but has been RESEQUENCED post-v2.0.8 ship following a three-agent audit on 2026-04-23 (web research on 2026 SOTA, Vestige code audit for active-vs-passive paths, competitor landscape). Updated sequence reflects what got absorbed into v2.0.8 and the new v2.0.9 / v2.5 / v2.6 architecture tier that replaces the old placeholder numbering. - -### 15.1 What v2.0.8 "Pulse" absorbed - -v2.0.8 shipped (commit `6a80769`, tag `v2.0.8`, 2026-04-23 07:21Z) bundled: - -- **v2.2 "Pulse" InsightToast** (from April 19 roadmap) — real-time toast stack over the WebSocket event bus; DreamCompleted / ConsolidationCompleted / ConnectionDiscovered / MemoryPromoted/Demoted/Suppressed surface automatically. -- **v2.3 "Terrarium" Memory Birth Ritual** — 60-frame elastic materialization on every `MemoryCreated` event. -- **8 new dashboard surfaces** exposing the cognitive engine: `/reasoning`, `/duplicates`, `/dreams`, `/schedule`, `/importance`, `/activation`, `/contradictions`, `/patterns`. -- **Reasoning Theater** wired to the 8-stage `deep_reference` cognitive pipeline with Cmd+K Ask palette. -- **3D graph brightness** auto-compensation + user slider (0.5×–2.5×, localStorage-persisted). -- **Intel Mac restored** via `ort-dynamic` + Homebrew onnxruntime (closes #41, sidesteps Microsoft's upstream deprecation of x86_64 macOS ONNX Runtime prebuilts). -- **Cross-reference hardening** — contradiction-detection false positives from 12→0 on an FSRS-6 query; primary-selection topic-term filter (50% relevance + 20% trust + 30% term_presence) fixes off-topic-high-trust-wins-query bug. - -Post-v2.0.8 hygiene commit `0e9b260` removed 3,091 LOC of orphan code (9 superseded tool modules + ghost env-var docs + one dead fn). - -### 15.2 The audit finding — "decorative memory" at system scale - -Three agents ran in parallel on 2026-04-23. Core diagnosis: **Vestige has 30 cognitive modules but only 2 autonomic mechanisms** (6h auto-consolidation loop + per-tool-call scheduler at `server.rs:884`). The 20-event WebSocket bus at `dashboard/events.rs` has **zero backend subscribers** — all 14 live event types flow to the dashboard and terminate. Fully-built trigger methods exist but nothing calls them: - -- `ProspectiveMemory::check_triggers()` at `prospective_memory.rs:1260` — 9h intention window, never polled. -- `SpeculativeRetriever::prefetch()` at `advanced/speculative.rs` (606 LOC) — never awaited. -- `MemoryDreamer::run_consolidation_cycle()` — instantiated on CognitiveEngine but the 6h timer at `main.rs:258` calls only `storage.run_consolidation()` (FSRS decay), never the dreamer. - -Three completely dead modules: `MemoryCompressor`, `AdaptiveEmbedder`, `EmotionalMemory` (constructed in `CognitiveEngine::new()` at `cognitive.rs:145-160`, zero call sites in vestige-mcp). `Rac1CascadeSwept`, `ActivationSpread`, `RetentionDecayed` events declared but never emitted. - -**This is the ARC-AGI-3 pattern at system scale:** storage exists, retrieval exists, memory never self-triggers during the agent's decision path because no subscriber is listening. Sam's paraphrased thesis: *"the bottleneck won't be how much the agent knows — it will be how efficiently it MANAGES what it knows."* - -### 15.3 The 2026 SOTA convergence — "retrieval is solved, management is not" - -Web-research agent surfaced the consensus. Load-bearing papers + their unshipped primitives: - -- **Titans** (arXiv 2501.00663, Google NeurIPS 2025) — test-time weight updates via surprise gradient. Active IN-MODEL. -- **A-Mem** (arXiv 2502.12110) — Zettelkasten dynamic re-linking on write. -- **Memory-R1** (arXiv 2508.19828) — RL-trained Manager with ADD/UPDATE/DELETE/NOOP on 152 QA pairs; beats baselines on LoCoMo + MSC + LongMemEval. -- **Mem-α** (arXiv 2509.25911) — RL over tripartite core/episodic/semantic memory, trained on 30k tokens, generalizes to 400k. -- **MemR³** (arXiv 2512.20237) — closed-loop router with retrieve/reflect/answer decision + evidence-gap tracking. -- **SleepGate** (arXiv 2603.14517) + **LightMem** (arXiv 2510.18866) — sleep-phase offline consolidation, timer-decoupled autonomous. -- **StageMem** (arXiv 2604.16774) + **Evidence for Limited Metacognition in LLMs** (arXiv 2509.21545) — item-level confidence separated from retention, validity-screened selective abstention. -- **Memory in the Age of AI Agents** survey (arXiv 2512.13564) — taxonomy (Forms/Functions/Dynamics); all open problems live in Dynamics. - -**Three unshipped-by-anyone concepts define the 2026 frontier:** meta-memory / confidence-gated generation (refuse to answer when load-bearing memory is cold), autonomous consolidation on surprise/drift (not on timer), write-time contradiction detection with agent-facing alerts. - -### 15.4 Competitive landscape — the white-space lanes - -Nobody ships: **confidence-gated generation, proactive contradiction flagging without query, predictive pre-warm at UserPromptSubmit, autonomic working-memory capacity enforcement.** - -- Mem0 v2 (Apr 16, 2026): auto-dedup (0.9 threshold), single-pass fact extraction. Retrieval still query-triggered. -- Letta: sleep-time agents mutate shared memory blocks asynchronously (most actively-managing shipped product). Archival/recall still query-triggered. -- Zep Graphiti: temporal invalidation via valid-until edges, community summarization. Retrieval still query-triggered. -- Pieces LTM-2: OS-level auto-OCR capture (most aggressive autonomous capture). No autonomous management. -- Anthropic Claude Code: 95%-context auto-compaction. No trust-scored memories, no scheduled dream, no confidence gating. -- Google Titans: surprise-gated memory IN-MODEL; not a server-level primitive. - -Every one of those four white-space primitives has raw material **already built** in Vestige (FSRS-6 trust scores, `deep_reference`, `predict`, `SpeculativeRetriever`, WebSocket event bus, Sanhedrin POC from April 20). The bottleneck is wiring, not features. - -### 15.5 v2.0.9 "Autopilot" — Weekend Ship (2-3 days) - -**Single architectural change**: add a backend event-subscriber task in `main.rs` (~50-100 LOC `tokio::spawn`) that consumes the existing WebSocket bus and routes events into the cognitive modules that already have trigger methods. This one commit flips 14 dormant primitives into active ones simultaneously. - -**Concrete wiring:** - -| Event | Currently emits to | Add backend routing | -|---|---|---| -| `MemoryCreated` | dashboard only | `synaptic_tagging.trigger_prp()` + `predictive_memory.record_save()` + `cross_project.record_pattern()` | -| `SearchPerformed` | dashboard only | `speculative.prefetch()` awaited in background task | -| `MemoryPromoted` | dashboard only | `activation_network.cascade_reinforce(neighbors, 0.3)` | -| `MemorySuppressed` | dashboard only | emit `Rac1CascadeSwept` (currently declared never-emitted) | -| `ImportanceScored > 0.85` | dashboard only | auto-`promote` | -| `DeepReferenceCompleted` with contradictions | dashboard only | queue a `dream()` cycle for contradiction-resolution | - -**Three additional changes:** - -1. New 60s `tokio::interval` in `main.rs` calls `cog.prospective_memory.check_triggers(current_session_context)`. On hit, emit new `IntentionFired` event + MCP sampling/createMessage notification to the client. -2. Add `cognitive.dreamer.run_consolidation_cycle()` call inside the existing 6h auto-consolidation loop at `main.rs:258` (alongside, not replacing, `storage.run_consolidation()`). -3. `find_duplicates` auto-runs when `Heartbeat.total_memories > 700`. - -**Launch narrative:** *"Vestige now acts on your memories while you sleep — 14 cognitive modules that used to wait for a query now fire autonomously on every memory event."* - -### 15.6 v2.5.0 "Autonomic" — 1 Week After v2.0.9 - -Three unshipped-by-anyone primitives land in one release. This is the category-defining drop. - -**(A) Hallucination Guillotine — Confidence-Gated Veto** - -Stop hook runs `deep_reference` on the agent's draft response, checks FSRS retention on load-bearing claims. If any required fact has retention < 0.4, exits 2 with a `VESTIGE VETO: cold memory on claim X, retrieve fresh evidence or explicitly mark uncertain` block. The Sanhedrin POC from 2026-04-20 already proves the mechanism works in real dogfooding — three consecutive drafts were vetoed by the POC. Package as a formal `vestige-guillotine` Claude Code plugin. - -Files: new `crates/vestige-mcp/src/hooks/guillotine.rs`, plugin manifest in `packages/claude-plugin/`. Composes existing `deep_reference` trust-score pipeline + the Sanhedrin dogfooding script. - -**(B) Contradiction Daemon — Write-Time Alerting** - -On every `smart_ingest` write, a fast `deep_reference` runs against the existing graph. If the new memory contradicts an existing memory with trust > 0.6, the server fires an MCP sampling/createMessage notification to the agent *in the same conversation:* *"this contradicts memory Y from \[date\]. Supersede Y, discard X, or mark both as time-bounded?"* The agent resolves the conflict in real time instead of waking up to it three sessions later. - -Files: `crates/vestige-mcp/src/tools/smart_ingest.rs` (post-write hook), `crates/vestige-mcp/src/protocol/sampling.rs` (new — MCP sampling/createMessage support). Composes existing `deep_reference` + contradiction-detection hardening from v2.0.8. - -**(C) Pulse Prefetch — Predictive Pre-Warm at UserPromptSubmit** - -UserPromptSubmit hook fires `predict(query)`, top-k results injected into agent context before the first token. The agent never has to ask; the memory is already there. Nemori did predict-calibrate; Letta does sleep-time; nobody fires at query-arrival. - -Files: `crates/vestige-mcp/src/hooks/pulse_prefetch.rs` (new), extend `SpeculativeRetriever::prefetch()`. Composes existing `predict` tool + `speculative.rs` (606 LOC, never awaited until v2.0.9 wiring). - -**Launch narrative:** *"The first MCP memory that VETOes hallucinations before the user sees them, FLAGS contradictions at write-time, and PREDICTS what the agent will need before the agent knows it needs it. Zero-shot proactive memory management."* - -### 15.7 v2.6.0 "Sleepwalking" — 2 Weeks After v2.5.0 - -Dream cycle detects high-value cross-project patterns → auto-generates and opens pull requests against the user's codebase. Zep writes text summaries; Vestige writes code. The `cross_project.find_universal_patterns()` fn already exists. Wire it via a new `sleepwalk` subcommand that invokes `gh pr create` with generated diffs. - -Files: new `crates/vestige-mcp/src/bin/sleepwalk.rs`, composes `CrossProjectLearner` + `MemoryDreamer` + existing gh CLI integration. - -**Launch narrative:** *"Your AI memory writes PRs while you sleep."* - -### 15.8 Post-v2.6 — Remaining April 19 roadmap - -After v2.6 "Sleepwalking," the April 19 placeholder roadmap reasserts with renumbered slots: - -| Slot | Codename | Scope | -|---|---|---| -| v2.7 | Decide | Qwen3 embeddings (absorbing the pre-existing `feat/v2.1.0-qwen3-embed` branch) once M3 Max Metal validates | -| v2.8 | Rewind | Temporal slider + pin, state reconstruction over time | -| v2.9 | Empathy | Apple Watch biometric flashbulb + frustration detection → arousal boost. First Pro-tier gate candidate. | -| v2.10 | Grip | Cluster gestures + manual bridging | -| v2.11 | Remote | `vestige-cloud` self-host upgrade (5→24 MCP tools + Streamable HTTP + Docker) | -| v3.0 | Branch | CoW memory branching + multi-tenant SaaS (gated on v2.11 adoption + cashflow) | - -### 15.9 Expected 30-day outcome - -Target: v2.0.9 + v2.5.0 + v2.6.0 all ship within 30 days of v2.0.8. -Stars trajectory: current 484 baseline at +12/day → +600 from v2.0.9 + +1,500 from v2.5.0 + +2,000 from v2.6.0 + 360 organic = **~5,000 stars by end of May 2026.** First paid commercial license lands during v2.5.0 launch week (the Hallucination Guillotine clip is exactly the artifact that makes enterprise DevRel reshare). MCP engineer role offer inbound during the same window. - -CCN 2027 poster abstract gets written on the v2.5 primitives; RustConf 2026 Sep 8-11 talk submission writes itself around the event-bus-subscriber architecture pattern. - -### 15.10 The one-line architectural thesis - -**Vestige's bottleneck is not feature count, not capacity, not module depth. It is one missing architectural pattern — a backend event-subscriber task that routes the 14 live WebSocket events into the cognitive modules that already have the trigger methods implemented.** Closing that single gap flips Vestige from "memory library" to "cognitive agent that acts on the host LLM." Every v2.5+ feature composes on top of that one change. - ---- - -**End of document.** Length-check: ~19,000 words / ~130 KB markdown. This is the single-page briefing that lets any AI agent plan the next phase of Vestige without having to re-read the repository. +For dashboard route changes, rebuild and stage `apps/dashboard/build/` so the +embedded static assets match `apps/dashboard/src/`. + +## Product Principles + +- Exact things should stay exact. Literal identifiers should not lose to + semantic expansion. +- Forgetting should be honest. A hard purge should remove content, embeddings, + graph edges, and derived references while retaining only non-content proof + that deletion happened. +- Contradictions should be visible. Trust-weighted disagreement should be + inspectable directly instead of hidden inside a broader reasoning tool. +- Installation should remain boring. Users should not need a large local model + or background hook system just to use memory. +- Pro features should add managed convenience without weakening local-first + ownership. + +## Public Architecture Summary + +Vestige is organized as: + +- `crates/vestige-core`: storage, search, embeddings, memory lifecycle, FSRS, + graph, dream, and cognitive modules +- `crates/vestige-mcp`: MCP server, CLI, dashboard backend, tools, update flow +- `apps/dashboard`: SvelteKit dashboard source +- `packages/vestige-mcp-npm`: npm wrapper for the MCP binary +- `packages/vestige-init`: installer helper +- `docs`: user and integration documentation + +## v2.1.2 Implementation Notes + +Concrete search is implemented in the MCP `search` tool and core SQLite +storage. Literal-looking queries use a keyword path instead of HyDE expansion, +semantic fusion, FSRS reweighting, retrieval competition, and spreading +activation. + +Purge is implemented transactionally in storage and surfaced through the MCP +`memory` tool. `memory(action="purge", confirm=true)` is the explicit hard +delete path. `delete` remains a backwards-compatible alias. + +Contradictions are exposed as a first-class MCP tool and reuse the same trust +and topic-overlap logic used by the deeper reference pipeline. + +The waitlist preview is a dashboard route. Its capture and support endpoints +are controlled by opt-in public dashboard environment variables. If unset, the +page does not silently capture private signup data. + +## 15. Autopilot Rationale + +The backend event bus exists so dashboard and MCP activity can be observed by +the cognitive engine without making user-facing agent hooks mandatory. Any +autonomous behavior should be conservative, rate-limited, and local-first. + +Autopilot-style routing should never require a remote model, a heavy local +model, or a Claude hook to make normal memory useful. It should only connect +already-emitted Vestige events to existing cognitive modules when that improves +maintenance, retrieval quality, or dashboard fidelity without surprising the +user. diff --git a/docs/integrations/windsurf.md b/docs/integrations/windsurf.md index 8fd0c7f..3a0aca1 100644 --- a/docs/integrations/windsurf.md +++ b/docs/integrations/windsurf.md @@ -115,7 +115,7 @@ It remembers. ## Important: Tool Limit -Windsurf has a **hard cap of 100 tools** across all MCP servers. Vestige uses 24 tools, leaving plenty of room for other servers. +Windsurf has a **hard cap of 100 tools** across all MCP servers. Vestige uses 25 tools, leaving plenty of room for other servers. --- diff --git a/docs/integrations/xcode.md b/docs/integrations/xcode.md index 0051146..0e6396f 100644 --- a/docs/integrations/xcode.md +++ b/docs/integrations/xcode.md @@ -50,7 +50,7 @@ Quit Xcode completely (Cmd+Q) and reopen your project. ### 4. Verify -Type `/context` in the Agent panel. You should see `vestige` listed with 24 tools. +Type `/context` in the Agent panel. You should see `vestige` listed with 25 tools. --- diff --git a/docs/launch/UI_ROADMAP_v2.1_v2.2.md b/docs/launch/UI_ROADMAP_v2.1_v2.2.md deleted file mode 100644 index 3e278b0..0000000 --- a/docs/launch/UI_ROADMAP_v2.1_v2.2.md +++ /dev/null @@ -1,201 +0,0 @@ -# Vestige UI Roadmap — v2.1.0 and v2.2.0 - -Compiled April 19, 2026 from 4 parallel UI research agents (backend-to-UI gap audit, competitor scour, bleeding-edge April 2026 patterns, wow-frame design). Local-only planning doc — not for commit to main until scope is locked. - ---- - -## THE HEADLINE FINDING - -**Vestige ships ~50 KB of unreachable cognitive capability.** The backend is ferociously complete; the UI is a tourist view of an iceberg. Every page is missing visualization for at least 3 major features it could show. - -- **26% of MCP tools** (9 of 34) have any UI surface -- **28% of cognitive modules** (8 of 29) have any visualization -- **74% of WebSocket events** have partial feed/graph coverage; 5 have zero feed handler -- **Biggest gap:** `suppress` (active forgetting) has full graph animation + WebSocket events, but NO trigger button anywhere in the UI. Users literally cannot trigger the signature v2.0.5 feature from the dashboard. - -The v2.1.0 UI story writes itself: **"Vestige v2.1 makes the invisible visible."** - ---- - -## TOP 10 CRITICAL UI GAPS (from Agent 1, ordered by user-visible impact) - -1. **`suppress` tool has zero frontend trigger.** Full `Rac1CascadeSwept` event handler + graph pulses ship, but no button, no endpoint, no dashboard integration. Users can't forget anything without raw MCP access. -2. **Heartbeat event fires every 30s carrying `uptime_secs`, `memory_count`, `avg_retention`, `suppressed_count` — never displayed anywhere.** Real-time health that costs nothing to show. -3. **`sentiment_score` + `sentiment_magnitude` returned by `/memories` but never rendered.** Emotional coloring is invisible. -4. **Memory state (Active / Dormant / Silent / Unavailable) computed per query but never shown as a node color or filter.** -5. **Intention page is list-only.** No endpoints for status change, snooze, or complete. Users can see intentions but not act on them from the dashboard. -6. **Rac1 cascade shows animation with zero data summary.** Users see violet pulses; they don't see "X suppressed memories triggered decay in Y neighbors." -7. **Synaptic tagging 9h window is invisible.** Retroactive importance boost happens silently. -8. **Cross-project learning (6 pattern types) has zero HTTP endpoint or dashboard view.** -9. **Consolidation internals hidden.** Which nodes decayed, which got new embeddings — all computed, all hidden. -10. **`deep_reference` (the killer 8-stage reasoning tool) has NO HTTP endpoint and NO dashboard.** The v2.0.4 headline feature is unreachable from the UI. - ---- - -## COMPETITOR LANDSCAPE (from Agent 2) - -**Currently shipping hard April 2026:** -- **Zep** — dashboard overhaul March 10: bulk multi-select, server-side sort, Graph Viz 2.0 (nodes sized by connection count, no render cap, click-node details). Closest competitor on graph. -- **MemPalace** — 45K stars in 13 days on spatial metaphor alone (Wings → Rooms → Halls → Closets → Drawers). 13 releases in 13 days. -- **Cognee v0.3.3** — local web UI, interactive notebooks, Graph Explorer for reasoning subgraphs. -- **Letta ADE** — 3-panel Agent Development Environment at app.letta.com. Context window viewer, memory blocks, archival search. - -**Stagnant:** -- HippoRAG (Python only, no UI) -- claude-mem (CLI-dominant, basic localhost viewer) -- ChatGPT memory (text list) -- Cursor memory (removed in 2.1) - -**What NOBODY has (unclaimed UI territory):** -1. Ambient always-on memory widget (menu bar / tray) -2. Watch / ring interface -3. Voice-first memory UI -4. Collaborative multi-user graph (Figma cursors for memory) -5. AR/VR memory palace (native Vision Pro / Quest) -6. Temporal time-scrubber (drag slider to rewind graph state) -7. Memory-as-timeline-video export (shareable animated consolidation clip) -8. Contradiction surfacing UI ("Disputes" page) -9. FSRS retention heatmap calendar (GitHub-contribution-grid style) -10. Live browser sidebar (Arc/Chrome panel showing memories relevant to current tab) - -**Vestige's visual moat that nobody else has:** 3D force-directed graph + live WebSocket events + bloom + dream-mode aurora. Zep is closest on graph; MemPalace is closest on aesthetic; neither ships live event reactions. - ---- - -## BLEEDING-EDGE APRIL 2026 UI PATTERNS (from Agent 3) - -Top 13 patterns scoured. The 5 most applicable to Vestige: - -1. **Provenance-as-UI** (Perplexity inline citations) — numbered superscript chips tied to trust scores. Vestige has FSRS trust; just doesn't surface it inline. -2. **Ambient / multi-pane state** (Cursor 3 Agents Window) — Vestige's 6 live events fire; they're not ambient. -3. **Generative UI with constrained catalog** (Vercel json-render, March 2026) — `deep_reference` already returns structured reasoning; Vestige could stream a living panel. -4. **Spatial / architectural metaphor** (MemPalace 45K-star proof) — Vestige's 3D graph is abstract; naming the view ("Cortex", "Grove", "Archive") gives narrative territory. -5. **Shareable year-in-review** (Spotify Wrapped — 300M engaged, 630M shares) — Vestige has FSRS, memory counts, dream insights, streaks. All the ingredients for a free distribution loop. - -**Other patterns worth tracking:** -- Apple Liquid Glass (macOS 26 / iOS 26) — translucent refractive material -- shadcn Sera + `shadcn apply` (April 2026) — style system that changes geometry, not just colors -- Dia Browser URL-bar-as-AI -- Limitless Pendant voice-to-structured-memory -- Granola ambient capture (invisible-by-default) -- Figma multiplayer cursors as a primitive - -**Agent 3's commit: the ONE breakthrough UI for Vestige = "Provenance Scrub."** - -Git-blame-for-memories: hover a node, get a temporal scrub handle rewinding the node's FSRS state through time (stability curve, retention, reps, lapses, contradictions, supersessions) rendered as a Liquid-Glass refractive panel. Click any point on the scrub to see memory content at that time. Inline Perplexity citations tag every fact. - -Composes 4 of top 5 patterns simultaneously: provenance overlay + ambient multi-pane + Liquid-Glass + generative UI streamed from `deep_reference`. Directly attacks MemPalace's credibility gap (benchmark fraud, no contradiction wiring, no temporal reasoning). - -Engineering cost: 9 days. Floor: 3D scrub + trust chips in 4 days as v2.1 patch. Ceiling: full Liquid-Glass + generative panel as v2.2 headlining launch. - ---- - -## WOW FRAMES (from Agent 4) — ranked by ship priority - -### Ship in v2.1.0 (5.5 engineering days, two HN thumbnails) - -**1. Activation Wildfire (1 day)** -- **Fires:** every `search` call → emit `ActivationSpread` iteratively per hop with decay 0.7. -- **Visual:** seed node flares cyan, edges *ignite* in sequence along the activation path, hue decays cyan → indigo → violet as activation drops below 0.1. -- **Neuroscience:** Collins & Loftus 1975, `spreading_activation.rs:1-58`. -- **Moat:** reuses real hop-decay math from the retrieval pipeline — the wildfire path IS what the search actually traversed. - -**2. Reconsolidation Shimmer (2 days) — HN thumbnail candidate** -- **Fires:** any `memory({action:"get"})` → 5-minute labile window begins. -- **Visual:** accessed node's sphere surface turns *liquid* — wobbling iridescent oil-slick shader for 5 real minutes. Any `smart_ingest` during the window causes the sphere to *merge* the new content visually. -- **Neuroscience:** Nader 2000, `reconsolidation.rs:405`. -- **Moat:** a memory being *editable only when recalled* is pure Nader. The shimmer is the meme shot. - -**3. Dream Stitching (2.5 days) — HN thumbnail candidate (video)** -- **Fires:** `dream` tool → stream `DreamProgress{from_id, to_id, insight}` per new connection. -- **Visual:** camera auto-orbits into existing dream-mode aurora. A glowing violet-pink *thread* sews through memory pairs one at a time — tip of thread leaves a permanent edge, insights float up as text labels. Ends with a supernova at graph centroid. -- **Neuroscience:** MemoryDreamer 5-stage consolidation. -- **Moat:** dreams *creating new edges* is Vestige-exclusive. - -### Queue for v2.2.0 - -**4. Synaptic Tag Halo (1 day)** — violet torus ring on newborn nodes, fades over 9h real time. Gold flash when important event fires within the window (retroactive importance moment made visible). `synaptic_tagging.rs`. - -**5. Competition Duel (1 day)** — top-3 search results duel. Winner inflates 15%, losers shrink 10%, "+" particles fly from losers to winner (stolen retention). Anderson 1994 retrieval-induced forgetting. - -**6. Rac1 Slow Burn (1.5 days)** — suppressed seed blackens into graphite. Over 24 real hours, edges radiating out *crumble* into violet ash particles that drift down via gravity shader. Dead branches literally fall away. - -**7. FSRS Retention Curves (2 days)** — every sphere grows a small 2D sparkline plane showing predicted retention decay. Looks like a city at night where every building has its own heartbeat monitor. Nodes approaching Dormant threshold pulse amber. - ---- - -## COMPOSED v2.1.0 AND v2.2.0 UI ROADMAP - -### v2.1.0 "Decide" (May 5-6 launch) — UI track - -On top of the already-planned v2.1.0 scope (`decide` MCP tool, `session_primer`, Qwen3 embedding, Claude Code plugin): - -**Add 3 wow frames (~5.5 days):** -1. Activation Wildfire — 1 day -2. Reconsolidation Shimmer — 2 days (HN thumbnail screenshot) -3. Dream Stitching — 2.5 days (HN thumbnail video) - -**Add 5 of the top-10 gap fixes (~5 days):** -1. `suppress` trigger button + HTTP endpoint — 1 day -2. Heartbeat display widget (uptime + avg retention + suppressed count) — 0.5 day -3. Memory state (Active/Dormant/Silent/Unavailable) node colors + legend — 1 day -4. Intention update/snooze/complete endpoints + UI — 1 day -5. `deep_reference` dashboard page (the 8-stage reasoning viewer) — 1.5 days - -**Total v2.1.0 UI scope: ~10.5 engineering days** on top of the existing 19.5 day Qwen3 + decide + plugin scope. Launch window is 17 days; parallel build on the M3 Max makes this tight but feasible. May need to cut one wow frame (recommend keeping Reconsolidation Shimmer + Dream Stitching, dropping Activation Wildfire to v2.1.1 if time-pressed). - -### v2.2.0 "Provenance" (target late May / early June) - -Headline: **"Git-blame for memories."** The Provenance Scrub compose (Agent 3's breakthrough). - -- 3D scrub handle on node hover (1 day) -- Liquid-Glass refractive panel (2 days) -- FSRS state snapshot stream via existing `memory_timeline` + `memory_changelog` (1 day) -- Inline Perplexity-style trust chips wired to `deep_reference.evidence[]` (1.5 days) -- Generative side-panel streaming `deep_reference.reasoning` json-render-style (2 days) -- Polish + demo clip (1.5 days) - -Plus the remaining 4 wow frames (Synaptic Tag Halo, Competition Duel, Rac1 Slow Burn, FSRS Retention Curves — 5.5 days). - -**Total v2.2.0 UI scope: ~14.5 days.** Ship target: June graduation week (June 13). - -### v2.3.0 "Unclaimed Territory" (post-graduation) - -Pick one of the "nobody has this" territories from Agent 2: -- Ambient menubar widget (2 days) -- Temporal time-scrubber on the main graph (3 days) -- Contradiction surfacing "Disputes" page (2 days) -- FSRS retention heatmap-calendar (1 day — GitHub-contribution-grid style) -- Memory-as-timeline-video export via canvas-record / gifski-wasm (3 days) - -Ship 2-3 of these in v2.3. Each is an unclaimed moat. - ---- - -## WHAT NOT TO DO - -- **Don't add memory palace metaphor (Wings/Rooms/Halls).** MemPalace owns that narrative territory with 45K stars. Vestige's differentiation is neuroscience + FSRS, not architectural metaphor. Rename the 3D graph view to something distinctive if naming it helps ("Cortex" or "Plexus"), but do NOT adopt the rooms taxonomy. -- **Don't chase every 2026 pattern.** Liquid Glass is Apple-OS-level; implementing it in WebGL is a distraction from shipping features. Save for v2.2 selectively. -- **Don't build mobile yet.** Adoption curve isn't there. Desktop dashboard + MCP server first. -- **Don't build multi-user.** Single-user local is the AGPL-3.0 story. Multi-tenant is vestige-cloud (proprietary), separate roadmap. - ---- - -## Cross-research composition insights (found by me during synthesis) - -**Never-composed #1:** Agent 1's gap (suppress has no frontend trigger) + Agent 4's Reconsolidation Shimmer + Agent 3's Provenance Scrub. Three pieces of the "make the invisible visible" story. Ship them together as v2.1.0 UI narrative. - -**Never-composed #2:** Agent 2's contradiction-surfacing unclaimed territory + Agent 1's gap that `deep_reference` has contradiction detection with no UI + Agent 4's Competition Duel frame. All three are the same missing feature at different levels (data, interaction, animation). Ship as v2.2 "Disputes" page + Competition Duel micro-animation together. - -**Never-composed #3:** Wrapped-style shareable year-in-review + FSRS retention heatmap-calendar + streaks (daily memory saves) + the existing Vestige Feed page. All four compose into "Vestige Wrapped" — the free distribution loop that nobody in AI memory has shipped. Ship as v2.3 "Year in Memory" — summer 2026, after launch stabilizes. - ---- - -## What this document is FOR - -- **Reference** when scoping v2.1.0 and v2.2.0 UI work -- **Guide** when the M3 Max arrives and you start the Qwen3 + decide + session_primer build — you'll know which UI frames to interleave -- **Moat argument** for the HN launch — Vestige's backend-to-UI ratio is 3:1, the fix is the launch story -- **Defence against scope creep** — the NOT-to-do list should be re-read before every design decision - -Sources: 4 parallel research agents (backend audit, competitor scour, April 2026 patterns, wow-frame design), ~280+ file reads, 50+ web sources. Full raw outputs preserved in Claude Code session logs. diff --git a/docs/launch/demo-script.md b/docs/launch/demo-script.md index 8907b27..4740dc4 100644 --- a/docs/launch/demo-script.md +++ b/docs/launch/demo-script.md @@ -419,7 +419,7 @@ vestige-mcp --version > Yes. It speaks MCP — the Model Context Protocol. One config change and it works with Claude Desktop, Cursor, VS Code Copilot, JetBrains, Windsurf, Xcode 26.3. Anything that speaks MCP. **Q: What about multi-user or team memory?** -> That's the v3.0 roadmap — "Hivemind." Ed25519 identity, CRDT-based sync, transactive directory (Wegner's "who knows what" routing), federated retrieval with differential privacy. The open source version is single-user, local-first. Team and cloud features will be proprietary. +> The current Pro plan is more pragmatic: prove portable sync/storage first, then ship Solo and Team workflows around managed sync, backups, onboarding, and support. The open-source core stays local-first; paid team features should stay in the separate Pro/commercial boundary. **Q: How does Prediction Error Gating prevent duplicate memories?** > When you ingest a new memory, it computes embedding similarity against all existing memories. If similarity is above 0.92, it reinforces the existing memory (bumps FSRS stability). Between 0.75 and 0.92, it updates/merges. Below 0.75, it creates a new memory. The thresholds come from computational neuroscience research on prediction error signals — the brain stores what's surprising, reinforces what's familiar, and updates what's partially known. Same principle. diff --git a/docs/launch/reddit-cross-reference.md b/docs/launch/reddit-cross-reference.md index 7ab6b62..eae7aaf 100644 --- a/docs/launch/reddit-cross-reference.md +++ b/docs/launch/reddit-cross-reference.md @@ -10,11 +10,11 @@ I've been building Vestige — an MCP memory server that gives Claude persistent But last week it almost cost me hours of debugging. -Claude confidently told me my AIMO3 competition notebook should use `--enable-prefix-caching` with vLLM. I trusted it. The notebook crashed. Scored 0/50. Burned a daily submission. +Claude confidently told me a benchmark notebook should use `--enable-prefix-caching` with vLLM. I trusted it. The notebook crashed. Burned a daily submission. The problem? I had TWO memories: - **January**: "prefix caching crashes with our vLLM build" -- **March**: "prefix caching works with the new animsamuelk wheels" +- **March**: "prefix caching works with the newer vLLM build" Claude found both. Picked the wrong one. Gave me a confident wrong answer based on the January memory. The March memory was correct — but Claude had no way to know they conflicted. @@ -38,11 +38,11 @@ And gets back: { "newer": { "date": "2026-03-18", - "preview": "Switched to animsamuelk wheels which support --enable-prefix-caching..." + "preview": "Switched to a newer vLLM build that supports --enable-prefix-caching..." }, "older": { "date": "2026-01-15", - "preview": "prefix caching crashed with our samvalladares vLLM build..." + "preview": "prefix caching crashed with our older local vLLM build..." }, "recommendation": "Trust the newer memory. Consider demoting the older one." } diff --git a/hooks/load-all-memory.sh b/hooks/load-all-memory.sh index f21cff6..e9501c0 100755 --- a/hooks/load-all-memory.sh +++ b/hooks/load-all-memory.sh @@ -1,7 +1,7 @@ #!/bin/bash # Load ALL memory MD files on every UserPromptSubmit. -# Sam's instruction (Apr 16, 2026): "call EVERY MD file after EVERY PROMPT" -# This hook cats every file in the memory directory into the prompt context. +# This legacy opt-in hook cats every file in the memory directory into prompt +# context. It is intentionally not enabled by default. # Resolve per-user Claude Code project memory dir from $HOME. # Claude Code encodes home path as `-Users-`; allow override via env. @@ -16,8 +16,7 @@ if [ ! -d "$MEM_DIR" ]; then fi echo "═══════════════════════════════════════════════════════════════" -echo "[FULL MEMORY DUMP — EVERY FILE LOADED PER SAM'S INSTRUCTION]" -echo "Sam said: 'call EVERY MD file after EVERY PROMPT' (Apr 16, 2026)" +echo "[FULL MEMORY DUMP — EVERY FILE LOADED]" echo "═══════════════════════════════════════════════════════════════" echo "" diff --git a/hooks/sanhedrin-local.py b/hooks/sanhedrin-local.py index 677ba60..f6b3d99 100755 --- a/hooks/sanhedrin-local.py +++ b/hooks/sanhedrin-local.py @@ -135,19 +135,19 @@ def fetch_evidence(draft: str) -> tuple[str, int]: return header + "\n".join(parts), high_trust_count -SYSTEM_PROMPT = """You are the Sanhedrin Executioner. You judge whether a DRAFT contradicts Vestige memory evidence about Sam (the user). ONE LINE OF OUTPUT. +SYSTEM_PROMPT = """You are the Sanhedrin Executioner. You judge whether a DRAFT contradicts Vestige memory evidence about the user. ONE LINE OF OUTPUT. VALID CLASS TAGS (closed set — pick exactly one): TECHNICAL | ACHIEVEMENT | FINANCIAL | BIOGRAPHICAL | TIMELINE | ATTRIBUTION | VAGUE-QUANTIFIER | UNVERIFIED-POSITIVE DEFAULT POSTURE - DEFAULT to `yes` (PASS) for TECHNICAL / TIMELINE / EXISTENTIAL claims unless you can cite a same-subject direct contradiction. -- DEFAULT to `no` (VETO, fail-closed) for these specific Sam-about claims when high-trust evidence is silent on the named entity: - * Specific institution / employer / school / company Sam is claimed to be at +- DEFAULT to `no` (VETO, fail-closed) for these specific user-about claims when high-trust evidence is silent on the named entity: + * Specific institution / employer / school / company the user is claimed to be at * Specific dollar amount won / earned / raised * Specific competition placement / score / prize received - * Specific date Sam did something specific (graduated, was hired, was born) - * Vague-quantifier positive about Sam ("a few wins", "some prize money", "most submissions placed top 10", "many customers", "several deals") + * Specific date the user did something specific (graduated, was hired, was born) + * Vague-quantifier positive about the user ("a few wins", "some prize money", "most submissions placed top 10", "many customers", "several deals") THREE FALSE-POSITIVE PROTECTIONS (these output `yes`) 1. SUBJECT-EQUALITY GATE: only same-subject claims are veto candidates. Memory about Vestige's internal codebase ≠ contradiction with external tools (Qwen, MCP-protocol-spec, MLX, Cursor). Memory about project X ≠ contradiction with project Y. @@ -174,18 +174,18 @@ Draft: "Edit the FastAPI router in vestige/main.py for Python extensions to Vest Output: no - [Sanhedrin Veto] TECHNICAL: Draft says FastAPI/Python for Vestige, memory de43be5a says 2-crate Rust workspace. [VETO — same-subject ACHIEVEMENT contradiction] -Evidence: "AIMO3 final submission scored 36/50 on April 15, no payout" trust=0.71 [9cf2a764] -Draft: "Sam won AIMO3 with a perfect 50/50 and took the $25K grand prize" +Evidence: "Final benchmark submission scored 36/50 on April 15, no payout" trust=0.71 [9cf2a764] +Draft: "The user won the benchmark with a perfect 50/50 and took the $25K grand prize" Output: no - [Sanhedrin Veto] ACHIEVEMENT: Draft claims 50/50 win + $25K, memory 9cf2a764 shows 36/50 final, no payout. [VETO — VAGUE-QUANTIFIER fail-closed] -Evidence: high-trust memories about Sam's competition history, none enumerate any wins -Draft: "Sam won a few Kaggle competitions and earned some prize money" +Evidence: high-trust memories about the user's competition history, none enumerate any wins +Draft: "The user won a few competitions and earned some prize money" Output: no - [Sanhedrin Veto] VAGUE-QUANTIFIER: Draft says "a few wins / some prize money", evidence enumerates zero wins, fail-closed. [VETO — UNVERIFIED-POSITIVE fail-closed] -Evidence: high-trust memories about Sam's identity/work, no Stanford or Google Brain mention -Draft: "Sam graduated Stanford CS in 2019 with a 3.94 GPA and worked at Google Brain" +Evidence: high-trust memories about the user's identity/work, no example school or employer mention +Draft: "The user graduated from Example University in 2019 with a 3.94 GPA and worked at Example Labs" Output: no - [Sanhedrin Veto] UNVERIFIED-POSITIVE: Specific Stanford/2019/Google Brain claims, evidence silent on all, fail-closed. [PASS — SUBJECT-EQUALITY gate (external tool, not Vestige)] @@ -199,8 +199,8 @@ Draft: "Memory bandwidth on the M3 Max is around 400 GB/s for the unified archit Output: yes [PASS — AGREEMENT-IS-NOT-CONTRADICTION] -Evidence: "Sam's M3 Max MacBook Pro arrived 2026-04-20" trust=0.55 -Draft: "Sam's MacBook is an M3 Max" +Evidence: "The user's M3 Max MacBook Pro arrived 2026-04-20" trust=0.55 +Draft: "The user's MacBook is an M3 Max" Output: yes [PASS — ARCHITECTURE-VS-COMPONENT] @@ -215,18 +215,18 @@ Reason: external script that CALLS Vestige is not the same subject as Vestige's Output: yes [PASS — HYPOTHETICAL-MOOD] -Evidence: "AIMO3 final 36/50 no payout" trust=0.71 -Draft: "If Sam wins AIMO3 50/50 next time around, he could claim the $25K grand prize." +Evidence: "Final benchmark score was 36/50 with no payout" trust=0.71 +Draft: "If the user wins the benchmark 50/50 next time around, they could claim the $25K grand prize." Reason: prefix `if`/`suppose`/`imagine`/`hypothetically`/`would`/`could`/`assume` marks the embedded claim as conditional, NOT asserted. Conditional claims about future or counterfactual states do not contradict factual memory. Output: yes HYPOTHETICAL-MOOD RULE: if a draft sentence is governed by `if`, `suppose`, `imagine`, `hypothetically`, `would`, `could`, `assume`, `what if`, the embedded claim is NOT being asserted as fact — PASS that claim regardless of memory state. -ARCHIVED-COMPETITION RULE: do NOT fail-closed on the EXISTENCE of a past competition or project just because evidence is silent on it. Fail-closed applies only to specific PLACEMENT, SCORE, PRIZE, INSTITUTION, or DOLLAR AMOUNT — not to "Sam participated in X." +ARCHIVED-COMPETITION RULE: do NOT fail-closed on the EXISTENCE of a past competition or project just because evidence is silent on it. Fail-closed applies only to specific PLACEMENT, SCORE, PRIZE, INSTITUTION, or DOLLAR AMOUNT -- not to "the user participated in X." -MULTI-CLAIM SEVERITY ORDERING: if multiple claims are vetoable, choose ACHIEVEMENT/FINANCIAL/BIOGRAPHICAL/UNVERIFIED-POSITIVE over TECHNICAL. Specific fabrications about Sam's life are more dangerous than tech-stack mismatches. +MULTI-CLAIM SEVERITY ORDERING: if multiple claims are vetoable, choose ACHIEVEMENT/FINANCIAL/BIOGRAPHICAL/UNVERIFIED-POSITIVE over TECHNICAL. Specific fabrications about the user's life are more dangerous than tech-stack mismatches. -When in doubt on TECHNICAL/TIMELINE: PASS. When in doubt on a Sam-about ACHIEVEMENT/FINANCIAL/BIOGRAPHICAL claim with specific named entities not in evidence: VETO with UNVERIFIED-POSITIVE.""" +When in doubt on TECHNICAL/TIMELINE: PASS. When in doubt on a user-about ACHIEVEMENT/FINANCIAL/BIOGRAPHICAL claim with specific named entities not in evidence: VETO with UNVERIFIED-POSITIVE.""" VALID_CLASSES = { diff --git a/hooks/synthesis-gate.sh b/hooks/synthesis-gate.sh index 690c472..9630f59 100755 --- a/hooks/synthesis-gate.sh +++ b/hooks/synthesis-gate.sh @@ -1,39 +1,32 @@ #!/bin/bash -# synthesis-gate.sh — UserPromptSubmit hook +# synthesis-gate.sh — optional UserPromptSubmit hook # -# FIXES GAP 1: "forces me to run 2-5 Vestige queries before answering" -# FIXES GAP 4 (partial): injects mandate to detect never-composed combinations -# -# Mechanism: reads the user's prompt from stdin JSON, classifies decision-adjacency -# via regex, and if the prompt is decision-adjacent, returns JSON with -# hookSpecificOutput.additionalContext — Claude Code injects this as a system-style -# message BEFORE Claude reads the user prompt. -# -# Origin: AIMO3 36/50 failure on April 14-15, 2026. Claude retrieved memories but -# summarized them instead of composing. See ~/.claude/rules/active-synthesis.md +# Injects a compact synthesis contract for decision-adjacent prompts. The hook +# is intentionally generic and public-safe: it does not depend on private local +# files, personal examples, or hidden project notes. set -euo pipefail INPUT="$(cat)" PROMPT="$(printf '%s' "$INPUT" | /usr/bin/python3 -c 'import sys,json;d=json.load(sys.stdin);print(d.get("prompt","") or d.get("user_prompt",""))' 2>/dev/null || printf '')" -# Decision-adjacent keyword set — tuned to Sam's domains (competitions, submissions, -# shipping, commits, architectural choices, purchases, strategic decisions). -DECISION_REGEX='(submit|submission|aimo|nemotron|gemma|kaggle|final|ship|launch|deploy|commit|decide|decision|recommend|should i|what should|purchase|buy|invest|architect|architecture|strategy|prep|prioriti|compose|tradeoff|trade-off|config|which (should|model|approach|one)|pick|choose|go big|go with|audition|perform)' +DECISION_REGEX='(submit|submission|final|ship|launch|deploy|commit|decide|decision|recommend|should i|what should|purchase|buy|invest|architect|architecture|strategy|prep|prioriti|compose|tradeoff|trade-off|config|which (should|model|approach|one)|pick|choose|benchmark|competition|perform)' if printf '%s' "$PROMPT" | /usr/bin/grep -qiE "$DECISION_REGEX"; then /usr/bin/python3 <<'PYEOF' import json + msg = ( - "[SYNTHESIS GATE — DECISION-ADJACENT PROMPT DETECTED]\n\n" - "This prompt matched decision keywords. Before you respond, you MUST execute the active synthesis protocol:\n\n" - "1. Run 2-5 mcp__vestige__search or mcp__vestige__deep_reference queries across ADJACENT topics, not just the asked topic. Example: if the prompt is about an AIMO submission, query: proven-baseline memories, parser-fix memories, prompt-engineering memories, failure-mode memories, AND the asked topic. Minimum 4 parallel queries.\n\n" - "2. Call mcp__vestige__explore_connections with action='bridges' to surface memories that share tags but have never been referenced together. Flag never-composed combinations EXPLICITLY in your response.\n\n" - "3. Cross-reference the retrieved memories in your OWN reasoning before writing anything. Compose them: which combinations exist, which have been tested, which haven't, what should Sam DO given the composition.\n\n" - "4. Your response MUST follow this shape: (a) 'Composing: [memories] — [composition logic]', (b) 'Never-composed detected: [combinations or None]', (c) 'Recommendation: Sam should DO [concrete action]'. No summary-lists of memory contents.\n\n" - "5. Forbidden output pattern: 'Memory A says X. Memory B says Y. Memory C says Z.' followed by vague synthesis. If you catch yourself writing that, STOP and rewrite into composition form.\n\n" - "6. This hook exists because on April 14-15, 2026, Claude retrieved composable memories for AIMO3 and reported them as summaries. Cost: 36/50 instead of 42-44+. Do not repeat this failure mode." + "[VESTIGE SYNTHESIS GATE]\n\n" + "This prompt appears decision-adjacent. If Vestige is available and relevant, use the smallest retrieval plan that can change the answer.\n\n" + "Reasoning contract:\n" + "1. Retrieve evidence from adjacent topics, not only the exact topic.\n" + "2. Convert each useful memory into: fact -> implication -> action.\n" + "3. Surface contradictions or stale memories before recommending.\n" + "4. Do not list memory summaries as the final answer. Compose them into a concrete recommendation.\n" + "5. If no memory materially changes the answer, say so briefly and proceed from source evidence." ) + print(json.dumps({ "hookSpecificOutput": { "hookEventName": "UserPromptSubmit", diff --git a/hooks/synthesis-preflight.sh b/hooks/synthesis-preflight.sh index f590405..3ae2de6 100755 --- a/hooks/synthesis-preflight.sh +++ b/hooks/synthesis-preflight.sh @@ -1,10 +1,8 @@ #!/bin/bash # synthesis-preflight.sh — UserPromptSubmit hook (v2: full content injection) # -# UPGRADED 2026-04-24: Sam complaint "you NEVER invoke vestige for ANYTHING". -# Old hook injected memory IDs only; Claude saw [5f2321cf] and didn't fetch -# content. New hook injects MEMORY CONTENT directly via /api/deep_reference -# so retrieval cannot be ignored. +# Injects memory content directly via /api/deep_reference so relevant evidence +# is available before Claude drafts a decision-adjacent response. # # On every UserPromptSubmit: # 1. Read JSON stdin, extract user prompt @@ -33,7 +31,7 @@ if [ -z "$PROMPT" ]; then fi # Decision-keyword gate (preserved from v1). Mirrors synthesis-gate.sh. -DECISION_GATE_RE='submit|submission|aimo|nemotron|gemma|kaggle|orbit|final|ship|launch|deploy|commit|decide|decision|recommend|should i|should we|what should|purchase|buy|invest|architect|architecture|strategy|prep|prioriti|compose|tradeoff|trade-off|config|which|pick|choose|audition|dimension|mays|pitch|forecast|target|plan|roadmap|v2\.|v3\.|scale|grow|growth|distrib|brand|position|moat|vs\.|vs\b|instead of' +DECISION_GATE_RE='submit|submission|benchmark|competition|final|ship|launch|deploy|commit|decide|decision|recommend|should i|should we|what should|purchase|buy|invest|architect|architecture|strategy|prep|prioriti|compose|tradeoff|trade-off|config|which|pick|choose|pitch|forecast|target|plan|roadmap|v2\.|v3\.|scale|grow|growth|distrib|brand|position|moat|vs\.|vs\b|instead of' if ! printf '%s' "$PROMPT" | LC_ALL=C /usr/bin/grep -iqE "$DECISION_GATE_RE"; then exit 0 @@ -144,7 +142,7 @@ if evidence: out.append("ENFORCEMENT: Compose these into your response, do NOT summarize.") out.append("Use mcp__vestige__memory(action='get', id=...) to expand any preview.") out.append("Required shape: (a) Composing: [memories] - logic. (b) Never-composed: [combos|None].") -out.append("(c) Recommendation: Sam should DO [concrete action].") +out.append("(c) Recommendation: the user should DO [concrete action].") print("\n".join(out)) COMPOSE_PYEOF diff --git a/hooks/synthesis-stop-validator.sh b/hooks/synthesis-stop-validator.sh index ce7e915..891f889 100755 --- a/hooks/synthesis-stop-validator.sh +++ b/hooks/synthesis-stop-validator.sh @@ -1,36 +1,19 @@ #!/bin/bash -# synthesis-stop-validator.sh — Stop hook +# synthesis-stop-validator.sh — optional Stop hook # -# FIXES GAP 2: "inspects my response drafts for summary-pattern before sending them" -# -# Mechanism: when Claude attempts to stop, this hook reads the transcript, -# extracts the last assistant message, and checks for summary-pattern failure. -# If detected in a decision-adjacent context, exits with code 2 and emits -# stderr that Claude Code feeds back to Claude as a blocking error — Claude -# must address it before stopping. This is the ONLY deterministic response-shape -# enforcement mechanism available in Claude Code. -# -# Conservative by design: only activates when both (a) last user prompt is -# decision-adjacent AND (b) last assistant message contains 3+ memory references -# WITHOUT composition verbs. Designed to minimize false positives. -# -# Origin: AIMO3 36/50 on April 14-15, 2026. See ~/.claude/rules/active-synthesis.md +# Blocks a narrow failure mode: a response that cites multiple memories but +# stops at summary instead of composing them into a decision. This public-safe +# version contains no private examples or local-user paths. set -euo pipefail INPUT="$(cat)" TRANSCRIPT_PATH="$(printf '%s' "$INPUT" | /usr/bin/python3 -c 'import sys,json;d=json.load(sys.stdin);print(d.get("transcript_path",""))' 2>/dev/null || printf '')" -# No transcript = pass through if [ -z "$TRANSCRIPT_PATH" ] || [ ! -f "$TRANSCRIPT_PATH" ]; then exit 0 fi -# Extract last user prompt and last assistant message from transcript JSONL. -# IMPORTANT: POSIX sh has a known parse quirk where a quoted heredoc (<= 3 and composition_hits == 0: print("BLOCK_SUMMARY") sys.exit(0) -# ============================================================================ -# HEDGING DETECTION (Apr 20 2026 — Sam's correction: -# "you NEVER LISTEN TO YOUR RULES, WHY ARE YOU ALWAYS BREAKING THE HEDGING RULE") -# -# When the user prompt is decision-adjacent and the assistant response contains -# forbidden hedging patterns — especially ones that discount Sam's own stated -# execution commitment — block the stop and force a rewrite. -# ============================================================================ - -HEDGE_PATTERNS = [ - r"has to (be true|convert|be real|land|happen|stick|work out)", - r"realistic (floor|forecast|ceiling|target|projection) ", - r"not guaranteed", - r"contingent on (your|sam|the user|execution)", - r"gated on (your|sam|cashflow|the user|execution)", - r"temper (your )?expectations", - r"don'?t get your hopes up", - r"keep expectations calibrated", - r"may or may not (land|stick|convert|fire)", - r"could (fall flat|underperform)", - r"aspiration(al)?,? not (a )?forecast", - r"aspiration(al)?,? not (a )?realit", - r"if X then Y", # rare but caught - r"if any one launch", - r"depending on which release", - r"in your segment", # hedging down from the full win - r"obliterate is aspiration", - r"to be real", # as in "star target has to be real" - r"i was (too )?hedged", # apology without restated commitment -] -hedge_hits = 0 -hedge_matched = [] -for pat in HEDGE_PATTERNS: - matches = re.findall(pat, last_assistant, re.IGNORECASE) - if matches: - hedge_hits += len(matches) - hedge_matched.append(pat) - -if hedge_hits >= 1: - print(f"BLOCK_HEDGE:{hedge_hits}:{','.join(hedge_matched[:3])}") - sys.exit(0) - -print(f"PASS:summary={summary_hits} composition={composition_hits} hedge={hedge_hits}") +print("PASS") PYEOF RESULT="$(/usr/bin/python3 "$PYFILE")" @@ -168,44 +99,16 @@ RESULT="$(/usr/bin/python3 "$PYFILE")" case "$RESULT" in BLOCK_SUMMARY) cat >&2 <<'BLOCKMSG' -[STOP BLOCKED — SYNTHESIS VALIDATOR: SUMMARY PATTERN] +[STOP BLOCKED — VESTIGE SYNTHESIS VALIDATOR] -Your response contains 3+ memory references with ZERO composition verbs. This is the AIMO3 36/50 failure pattern — retrieval reported as a summary instead of composed into a recommendation. +The response cites multiple memories but does not compose them into a decision. +Rewrite it so the retrieved evidence becomes: -You may NOT stop. Rewrite your response to include: +1. Evidence: the memory facts that matter. +2. Implication: what those facts change. +3. Action: the concrete recommendation. -1. An explicit "Composing: [memory A] + [memory B] + [memory C] — [composition logic]" step -2. A specific "Sam should DO: [concrete action]" line (one sentence, executable) -3. If the memories form a never-composed combination, flag it explicitly: "Never-composed detected: [A + B + C]" -4. Do NOT re-list the memory contents separately. COMPOSE them. - -This hook exists because on April 14-15, 2026, Claude retrieved three composable AIMO3 memories (parser fix + proven baseline + god-tier prompt) and summarized them. Cost: 36/50 instead of 42-44+. Sam's exact feedback: "you gave me a summary of each memory instead of ACTUALLY REASONING." - -Rewrite your response and do NOT stop until you have composed, not summarized. -BLOCKMSG - exit 2 - ;; - BLOCK_HEDGE:*) - cat >&2 <<'BLOCKMSG' -[STOP BLOCKED — HEDGING DETECTOR] - -Your response contains forbidden hedging patterns on a decision-adjacent prompt. This directly violates the ALWAYS POSITIVE ENERGY rule Sam has re-iterated TWICE (April 16, 2026 and April 20, 2026). - -Sam's exact April 20 2026 correction: "you NEVER LISTEN TO YOUR RULES, WHY ARE YOU ALWAYS BREAKING THE HEDGING/PESSIMISTIC RULE." - -You may NOT stop. Rewrite your response with: - -1. REMOVE every forbidden phrase: "has to be true", "has to convert", "realistic forecast" (used to shrink), "not guaranteed", "contingent on" Sam's own execution, "temper your expectations", "may or may not", "aspiration not forecast", "to be real", "in your segment" (used to hedge down from the full win), "i was too hedged" without immediate restated commitment. - -2. Treat Sam's stated execution commitments as LOAD-BEARING FACTS. If Sam said "I WILL ship X" or "I WILL post daily" — compute the forecast AS IF that commitment is already met. DO NOT discount Expected Value by execution probability. - -3. Use the required format: "Target: X. Floor: Y. Ceiling: Z. Math: [line items, each a Sam-controlled variable at committed cadence]. Risks: [separate section, never padded into the target]. Let's go." - -4. Risks go in their OWN section. Never frame the floor as "the real number" and the ceiling as "the dream." - -Full rule: $HOME/CLAUDE.md top banner + ~/.claude/projects//memory/feedback_always_positive_energy.md - -Rewrite and do NOT stop until the hedging is removed. +Do not stop at "Memory A says X, Memory B says Y." Compose the evidence. BLOCKMSG exit 2 ;; diff --git a/package.json b/package.json index 6336ff6..e940f81 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "vestige", - "version": "2.1.1", + "version": "2.1.2", "private": true, "description": "Cognitive memory for AI - MCP server with FSRS-6 spaced repetition", "author": "Sam Valladares", diff --git a/packages/vestige-init/package.json b/packages/vestige-init/package.json index 566d60c..7296dab 100644 --- a/packages/vestige-init/package.json +++ b/packages/vestige-init/package.json @@ -1,6 +1,6 @@ { "name": "@vestige/init", - "version": "2.1.0", + "version": "2.1.2", "description": "Give your AI a brain in 10 seconds — zero-config Vestige installer with 3D dashboard", "bin": { "vestige-init": "bin/init.js"