vestige/crates/vestige-mcp/Cargo.toml

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[package]
name = "vestige-mcp"
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
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version = "2.0.5"
edition = "2024"
description = "Cognitive memory MCP server for Claude - FSRS-6, spreading activation, synaptic tagging, 3D dashboard, and 130 years of memory research"
authors = ["samvallad33"]
license = "AGPL-3.0-only"
keywords = ["mcp", "ai", "memory", "fsrs", "neuroscience", "cognitive-science", "spaced-repetition"]
categories = ["command-line-utilities", "database"]
repository = "https://github.com/samvallad33/vestige"
[features]
default = ["embeddings", "vector-search"]
embeddings = ["vestige-core/embeddings"]
vector-search = ["vestige-core/vector-search"]
# For systems with glibc < 2.38 — use runtime-loaded ORT instead of the downloaded pre-built binary.
# Usage: cargo install --path crates/vestige-mcp --no-default-features --features ort-dynamic,vector-search
ort-dynamic = ["vestige-core/ort-dynamic"]
[[bin]]
name = "vestige-mcp"
path = "src/main.rs"
[[bin]]
name = "vestige-restore"
path = "src/bin/restore.rs"
[[bin]]
name = "vestige"
path = "src/bin/cli.rs"
[dependencies]
# ============================================================================
# VESTIGE CORE - The cognitive science engine
# ============================================================================
# Includes: FSRS-6, spreading activation, synaptic tagging, hippocampal indexing,
fix(ci): unblock Intel Mac + Windows MSVC builds in v2.0.5 release workflow Two unrelated upstream issues were stopping two of our four release targets. Root-caused and fixed both so v2.0.5 ships on 100% of supported platforms. Windows MSVC (new regression in v2.0.5): `usearch 2.24.0` introduced a `memory_mapping_allocator_gt` template that references the POSIX `MAP_FAILED` macro from <sys/mman.h>, which doesn't exist on MSVC. Confirmed upstream as unum-cloud/usearch#746 (open). The bump from 2.23.0 happened during the v2.0.5 Cargo.lock refresh. Pinned `usearch = "=2.23.0"` in crates/vestige-core/Cargo.toml with a comment linking the upstream issue. Unpin when the fix lands. Intel Mac (latent bug exposed by the ci workaround): Root cause was feature-propagation, not the release workflow. crates/vestige-mcp/Cargo.toml hardcoded `features = ["bundled-sqlite", "embeddings", "vector-search"]` on its vestige-core dep, which forcibly enabled vestige-core's embeddings feature regardless of whether vestige-mcp's own `embeddings` feature flag was set. With `--no-default-features` at the top level (the old Intel Mac ci workaround), vestige-mcp's feature flags turned off but vestige-core's embeddings stayed on through the hardcoded list. That pulled in fastembed -> ort-sys, but without any of the flags that select ort-sys' backend binaries, so the ort-sys build script failed with "does not provide prebuilt binaries for the target x86_64-apple-darwin with feature set (no features)". Fix: - Drop `embeddings` and `vector-search` from the hardcoded features list in crates/vestige-mcp/Cargo.toml. Leave only `bundled-sqlite` as an always-on base feature. The existing `embeddings = ["vestige-core/embeddings"]` / `vector-search = ["vestige-core/vector-search"]` flag declarations now actually gate those features as intended. - Bump the vestige-core dep version ref 2.0.4 -> 2.0.5 (was stale). - Drop `cargo_flags: "--no-default-features"` from the Intel Mac target in .github/workflows/release.yml. The original reason for that workaround was sidestepping the same ort-sys issue, but with the feature-propagation bug fixed, Intel Mac now builds with full default features the same way aarch64-darwin does on the same macos-14 runner. Verification: - `cargo tree -p vestige-mcp --no-default-features -i fastembed` -> "did not match any packages" (fastembed truly absent now) - `cargo tree -p vestige-mcp --no-default-features -i ort-sys` -> same - `cargo build --release -p vestige-mcp` -> clean, 1m 21s, usearch 2.23.0 Same v2.0.5 tag. Rust source code identical to 8178beb. Re-triggering the release workflow via workflow_dispatch will rebuild all four platforms and upload to the existing v2.0.5 release page.
2026-04-14 18:03:56 -05:00
# memory states, context memory, importance signals, dreams, and more.
#
# Only `bundled-sqlite` is always on. `embeddings` and `vector-search` are
# toggled via vestige-mcp's own feature flags below so `--no-default-features`
# actually works (previously hardcoded here, which silently defeated the flag).
vestige-core = { version = "2.0.5", path = "../vestige-core", default-features = false, features = ["bundled-sqlite"] }
# ============================================================================
# MCP Server Dependencies
# ============================================================================
# Async runtime
tokio = { version = "1", features = ["full", "io-std"] }
# Serialization
serde = { version = "1", features = ["derive"] }
serde_json = "1"
# Date/Time
chrono = { version = "0.4", features = ["serde"] }
# UUID
uuid = { version = "1", features = ["v4", "serde"] }
# Constant-time comparison for auth tokens (prevents timing side-channels)
subtle = "2"
# Error handling
thiserror = "2"
anyhow = "1"
# Logging
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter", "json"] }
# Platform directories
directories = "6"
# CLI
clap = { version = "4", features = ["derive"] }
colored = "3"
# SQLite (for backup WAL checkpoint)
rusqlite = { version = "0.38", features = ["bundled"] }
# Dashboard (v2.0) - HTTP server + WebSocket + embedded SvelteKit
axum = { version = "0.8", default-features = false, features = ["json", "query", "tokio", "http1", "ws"] }
tower = { version = "0.5", features = ["limit"] }
tower-http = { version = "0.6", features = ["cors", "set-header"] }
futures-util = "0.3"
open = "5"
# Embedded SvelteKit dashboard (v2.0)
include_dir = "0.7"
mime_guess = "2"
[dev-dependencies]
tempfile = "3"