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7 commits

Author SHA1 Message Date
Sam Valladares
8178beb961 feat(v2.0.5): Intentional Amnesia — active forgetting via top-down inhibitory control
First AI memory system to model forgetting as a neuroscience-grounded
PROCESS rather than passive decay. Adds the `suppress` MCP tool (#24),
Rac1 cascade worker, migration V10, and dashboard forgetting indicators.

Based on:
- Anderson, Hanslmayr & Quaegebeur (2025), Nat Rev Neurosci — right
  lateral PFC as the domain-general inhibitory controller; SIF
  compounds with each stopping attempt.
- Cervantes-Sandoval et al. (2020), Front Cell Neurosci PMC7477079 —
  Rac1 GTPase as the active synaptic destabilization mechanism.

What's new:
* `suppress` MCP tool — each call compounds `suppression_count` and
  subtracts a `0.15 × count` penalty (saturating at 80%) from
  retrieval scores during hybrid search. Distinct from delete
  (removes) and demote (one-shot).
* Rac1 cascade worker — background sweep piggybacks the 6h
  consolidation loop, walks `memory_connections` edges from
  recently-suppressed seeds, applies attenuated FSRS decay to
  co-activated neighbors. You don't just forget Jake — you fade
  the café, the roommate, the birthday.
* 24h labile window — reversible via `suppress({id, reverse: true})`
  within 24 hours. Matches Nader reconsolidation semantics.
* Migration V10 — additive-only (`suppression_count`, `suppressed_at`
  + partial indices). All v2.0.x DBs upgrade seamlessly on first launch.
* Dashboard: `ForgettingIndicator.svelte` pulses when suppressions
  are active. 3D graph nodes dim to 20% opacity when suppressed.
  New WebSocket events: `MemorySuppressed`, `MemoryUnsuppressed`,
  `Rac1CascadeSwept`. Heartbeat carries `suppressed_count`.
* Search pipeline: SIF penalty inserted into the accessibility stage
  so it stacks on top of passive FSRS decay.
* Tool count bumped 23 → 24. Cognitive modules 29 → 30.

Memories persist — they are INHIBITED, not erased. `memory.get(id)`
returns full content through any number of suppressions. The 24h
labile window is a grace period for regret.

Also fixes issue #31 (dashboard graph view buggy) as a companion UI
bug discovered during the v2.0.5 audit cycle:

* Root cause: node glow `SpriteMaterial` had no `map`, so
  `THREE.Sprite` rendered as a solid-coloured 1×1 plane. Additive
  blending + `UnrealBloomPass(0.8, 0.4, 0.85)` amplified the square
  edges into hard-edged glowing cubes.
* Fix: shared 128×128 radial-gradient `CanvasTexture` singleton used
  as the sprite map. Retuned bloom to `(0.55, 0.6, 0.2)`. Halved fog
  density (0.008 → 0.0035). Edges bumped from dark navy `0x4a4a7a`
  to brand violet `0x8b5cf6` with higher opacity. Added explicit
  `scene.background` and a 2000-point starfield for depth.
* 21 regression tests added in `ui-fixes.test.ts` locking every
  invariant in (shared texture singleton, depthWrite:false, scale
  ×6, bloom magic numbers via source regex, starfield presence).

Tests: 1,284 Rust (+47) + 171 Vitest (+21) = 1,455 total, 0 failed
Clippy: clean across all targets, zero warnings
Release binary: 22.6MB, `cargo build --release -p vestige-mcp` green
Versions: workspace aligned at 2.0.5 across all 6 crates/packages

Closes #31
2026-04-14 17:30:30 -05:00
Sam Valladares
5b90a73055 feat: Vestige v1.9.1 AUTONOMIC — self-regulating memory with graph visualization
Retention Target System: auto-GC low-retention memories during consolidation
(VESTIGE_RETENTION_TARGET env var, default 0.8). Auto-Promote: memories
accessed 3+ times in 24h get frequency-dependent potentiation. Waking SWR
Tagging: promoted memories get preferential 70/30 dream replay. Improved
Consolidation Scheduler: triggers on 6h staleness or 2h active use.

New tools: memory_health (retention dashboard with distribution buckets,
trend tracking, recommendations) and memory_graph (subgraph export with
Fruchterman-Reingold force-directed layout, up to 200 nodes).

Dream connections now persist to database via save_connection(), enabling
memory_graph traversal. Schema Migration V8 adds waking_tag, utility_score,
times_retrieved/useful columns and retention_snapshots table. 21 MCP tools.

v1.9.1 fixes: ConnectionRecord export, UTF-8 safe truncation, link_type
normalization, utility_score clamping, only-new-connections persistence,
70/30 split capacity fill, nonexistent center_id error handling.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-21 02:02:06 -06:00
Sam Valladares
c29023dd80 feat: Vestige v1.7.0 — 18 tools, automation triggers, SQLite perf
Tool consolidation: 23 → 18 tools
- ingest merged into smart_ingest (single + batch mode)
- session_checkpoint merged into smart_ingest batch (items param)
- promote_memory/demote_memory merged into memory(action=promote/demote)
- health_check/stats merged into system_status

Automation triggers in system_status:
- lastDreamTimestamp, savesSinceLastDream, lastBackupTimestamp,
  lastConsolidationTimestamp — enables Claude to conditionally
  trigger dream/backup/gc/find_duplicates at session start
- Migration v6: dream_history table (dreams were in-memory only)
- DreamHistoryRecord struct + save/query methods
- Dream persistence in dream.rs (non-fatal on failure)

SQLite performance:
- PRAGMA mmap_size = 256MB (2-5x read speedup)
- PRAGMA journal_size_limit = 64MB (prevents WAL bloat)
- PRAGMA optimize = 0x10002 (fresh query planner stats on connect)
- FTS5 segment merge during consolidation (20-40% keyword boost)
- PRAGMA optimize during consolidation cycle

1,152 tests passing, 0 failures, release build clean.
2026-02-20 21:59:52 -06:00
Sam Valladares
ce520bb246 chore: license AGPL-3.0, zero clippy warnings, CHANGELOG through v1.6.0
License:
- Replace MIT/Apache-2.0 with AGPL-3.0-only across all crates and npm packages
- Replace LICENSE file with official GNU AGPL-3.0 text
- Remove LICENSE-MIT and LICENSE-APACHE

Code quality:
- Fix all 44 clippy warnings (zero remaining)
- Collapsible if statements, redundant closures, manual Option::map
- Remove duplicate #[allow(dead_code)] attributes in deprecated tool modules
- Add Default impl for CognitiveEngine
- Replace manual sort_by with sort_by_key

Documentation:
- Update CHANGELOG with v1.2.0, v1.3.0, v1.5.0, v1.6.0 entries
- Update README with v1.6.0 highlights and accurate stats (52K lines, 1100+ tests)
- Add fastembed-rs/ to .gitignore
- Add fastembed-rs to workspace exclude

1115 tests passing, zero warnings, RUSTFLAGS="-Dwarnings" clean.
2026-02-19 03:00:39 -06:00
Sam Valladares
927f41c3e4 feat: Vestige v1.5.0 — Cognitive Engine, memory dreaming, graph exploration, predictive retrieval
28-module CognitiveEngine with full neuroscience pipeline on every tool call.
FSRS-6 now fully automatic: periodic consolidation (6h timer + inline every
100 tool calls), real retrievability formula, episodic-to-semantic auto-merge,
cross-memory reinforcement, Park et al. triple retrieval scoring, ACT-R
base-level activation, personalized w20 optimization.

New tools (19 → 23):
- dream: memory consolidation via replay, discovers hidden connections
- explore_connections: graph traversal (chain, associations, bridges)
- predict: proactive retrieval based on context and activity patterns
- restore: memory restore from JSON backups

All existing tools upgraded with cognitive pre/post processing pipelines.
33 files changed, ~4,100 lines added.
2026-02-18 23:34:15 -06:00
Sam Valladares
e06dd3d69a chore: cleanup dead code warnings and apply clippy fixes for v1.1.1
- Add #![allow(dead_code)] to deprecated tool modules (kept for
  backwards compatibility but not exposed in MCP tool list)
- Mark unused functions with #[allow(dead_code)] annotations
- Fix unused variable warnings (prefix with _)
- Apply clippy auto-fixes for redundant closures and derives
- Fix test to account for protocol version negotiation
- Reorganize tools/mod.rs to clarify active vs deprecated tools

Security review: LOW RISK - no critical vulnerabilities found
Dead code review: deprecated tools properly annotated

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-27 01:23:27 -06:00
Sam Valladares
bbd1c15b4a Add Prediction Error Gating and smart_ingest tool (26 tools total)
Implements neuroscience-inspired memory gating based on prediction error:
- New smart_ingest MCP tool that auto-decides CREATE/UPDATE/SUPERSEDE
- PredictionErrorGate evaluates semantic similarity vs existing memories
- Automatically supersedes demoted memories with similar new content
- Reinforces near-identical memories instead of creating duplicates
- Adds promote_memory/demote_memory/request_feedback tools

Thresholds:
- >0.92 similarity = Reinforce existing
- >0.75 similarity = Update/Merge
- <0.75 similarity = Create new
- Demoted + similar = Auto-supersede

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 13:30:03 -06:00