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* feat(v2.0.9): Autopilot — backend event-subscriber routes 6 live events into cognitive hooks
The single architectural change that flips 14 dormant cognitive primitives
into active ones. Before this commit, Vestige's 20-event WebSocket bus had
zero backend subscribers — every emitted event flowed to the dashboard
animation layer and terminated. Cognitive modules with fully-built trigger
methods (synaptic_tagging.trigger_prp, predictive_memory.record_*,
activation_network.activate, prospective_memory.check_triggers, the 6h
auto-consolidation dreamer path) were never actually called from the bus.
New module `crates/vestige-mcp/src/autopilot.rs` spawns two tokio tasks at
startup:
1. Event subscriber — consumes the broadcast::Receiver, routes:
- MemoryCreated → synaptic_tagging.trigger_prp(CrossReference)
+ predictive_memory.record_memory_access(id, preview, tags)
- SearchPerformed → predictive_memory.record_query(q, [])
+ record_memory_access on top 10 result_ids
- MemoryPromoted → activation_network.activate(id, 0.3) spread
- MemorySuppressed → emit Rac1CascadeSwept (was declared-never-emitted)
- ImportanceScored (composite > 0.85 AND memory_id present)
→ storage.promote_memory + re-emit MemoryPromoted
- Heartbeat (memory_count > 700, 6h cooldown)
→ spawned find_duplicates sweep (rate-limited)
The loop holds the CognitiveEngine mutex only per-handler, never across
an await, so MCP tool dispatch is never starved.
2. Prospective poller — 60s tokio::interval calls
prospective_memory.check_triggers(Context { timestamp: now, .. }).
Matched intentions are logged at info! level today; v2.5 "Autonomic"
upgrades this to MCP sampling/createMessage for agent-side notifications.
ImportanceScored event gained optional `memory_id: Option<String>` field
(#[serde(default)], backward-compatible) so auto-promote has the id to
target. Both existing emit sites (server.rs tool dispatch, dashboard
handlers::score_importance) pass None because they score arbitrary content,
not stored memories — matches current semantics.
docs/VESTIGE_STATE_AND_PLAN.md §15 POST-v2.0.8 ADDENDUM records the full
three-agent audit that produced this architecture (2026-SOTA research,
active-vs-passive module audit, competitor landscape), the v2.0.9/v2.5/v2.6
ship order, and the one-line thesis: "the bottleneck was one missing
event-subscriber task; wiring it flips Vestige from memory library to
cognitive agent that acts on the host LLM."
Verified:
- cargo check --workspace clean
- cargo clippy --workspace -- -D warnings clean (let-chain on Rust 1.91+)
- cargo test -p vestige-mcp --lib 356/356 passing, 0 failed
* fix(autopilot): supervisor + dedup race + opt-out env var
Three blockers from the 5-agent v2.0.9 audit, all in autopilot.rs.
1. Supervisor loops around both tokio tasks (event subscriber + prospective
poller). Previously, if a cognitive hook panicked on a single bad memory,
the spawned task died permanently and silently — every future event lost.
Now the outer supervisor catches JoinError::is_panic(), logs the panic
with full error detail, sleeps 5s, and respawns the inner task. Turns
a permanent silent failure into a transient hiccup.
2. DedupSweepState struct replaces the bare Option<Instant> timestamp. It
tracks the in-flight JoinHandle so the next Heartbeat skips spawning a
second sweep while the first is still running. Previously, the cooldown
timestamp was set BEFORE spawning the async sweep, which allowed two
concurrent find_duplicates scans on 100k+ memory DBs where the sweep
could exceed the 6h cooldown window. is_running() drops finished handles
so a long-dead sweep doesn't block the next legitimate tick.
3. VESTIGE_AUTOPILOT_ENABLED=0 opt-out. v2.0.8 users updating in place
can preserve the passive-library contract by setting the env var to
any of {0, false, no, off}. Any other value (unset, 1, true, etc.)
enables the default v2.0.9 Autopilot behavior. spawn() early-returns
with an info! log before any task is spawned.
Audit breakdown:
- Agent 1 (internals): NO-GO → fixed (1, 2)
- Agent 2 (backward compat): NO-GO → fixed (3)
- Agent 3 (orphan cleanup): GO clean
- Agent 4 (runtime safety): GO clean
- Agent 5 (release prep): GO, procedural note logged
Verification:
- cargo check -p vestige-mcp: clean
- cargo test -p vestige-mcp --lib: 373 passed, 0 failed
- cargo clippy -p vestige-mcp --lib --bins -- -D warnings: clean
* chore(release): v2.0.9 "Autopilot"
Bump workspace + vestige-core + vestige-mcp + apps/dashboard to 2.0.9.
CHANGELOG [2.0.9] entry + README hero banner rewrite to "Autopilot".
Scope (two commits on top of v2.0.8):
-
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|---|---|---|
| .. | ||
| src | ||
| Cargo.toml | ||
| README.md | ||
Vestige MCP Server
A bleeding-edge Rust MCP (Model Context Protocol) server for Vestige - providing Claude and other AI assistants with long-term memory capabilities.
Features
- FSRS-6 Algorithm: State-of-the-art spaced repetition (21 parameters, personalized decay)
- Dual-Strength Memory Model: Based on Bjork & Bjork 1992 cognitive science research
- Local Semantic Embeddings: nomic-embed-text-v1.5 (768d) via fastembed v5 (no external API)
- HNSW Vector Search: USearch-based, 20x faster than FAISS
- Hybrid Search: BM25 + semantic with RRF fusion
- Codebase Memory: Remember patterns, decisions, and context
Installation
cd /path/to/vestige/crates/vestige-mcp
cargo build --release
Binary will be at target/release/vestige-mcp
Claude Desktop Configuration
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"vestige": {
"command": "/path/to/vestige-mcp"
}
}
}
Available Tools
Core Memory
| Tool | Description |
|---|---|
ingest |
Add new knowledge to memory |
recall |
Search and retrieve memories |
semantic_search |
Find conceptually similar content |
hybrid_search |
Combined keyword + semantic search |
get_knowledge |
Retrieve a specific memory by ID |
delete_knowledge |
Delete a memory |
mark_reviewed |
Review with FSRS rating (1-4) |
Statistics & Maintenance
| Tool | Description |
|---|---|
get_stats |
Memory system statistics |
health_check |
System health status |
run_consolidation |
Apply decay, generate embeddings |
Codebase Tools
| Tool | Description |
|---|---|
remember_pattern |
Remember code patterns |
remember_decision |
Remember architectural decisions |
get_codebase_context |
Get patterns and decisions |
Available Resources
Memory Resources
| URI | Description |
|---|---|
memory://stats |
Current statistics |
memory://recent?n=10 |
Recent memories |
memory://decaying |
Low retention memories |
memory://due |
Memories due for review |
Codebase Resources
| URI | Description |
|---|---|
codebase://structure |
Known codebases |
codebase://patterns |
Remembered patterns |
codebase://decisions |
Architectural decisions |
Example Usage (with Claude)
User: Remember that we decided to use FSRS-6 instead of SM-2 because it's 20-30% more efficient.
Claude: [calls remember_decision]
I've recorded that architectural decision.
User: What decisions have we made about algorithms?
Claude: [calls get_codebase_context]
I found 1 decision:
- We decided to use FSRS-6 instead of SM-2 because it's 20-30% more efficient.
Data Storage
- Database:
~/Library/Application Support/com.vestige.mcp/vestige-mcp.db(macOS) - Uses SQLite with FTS5 for full-text search
- Vector embeddings stored in separate table
Protocol
- JSON-RPC 2.0 over stdio
- MCP Protocol Version: 2024-11-05
- Logging to stderr (stdout reserved for JSON-RPC)
License
MIT