vestige/packages/core
Sam Valladares f9c60eb5a7 Initial commit: Vestige v1.0.0 - Cognitive memory MCP server
FSRS-6 spaced repetition, spreading activation, synaptic tagging,
hippocampal indexing, and 130 years of memory research.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 01:31:03 -06:00
..
src Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00
.gitignore Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00
package-lock.json Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00
package.json Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00
pnpm-lock.yaml Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00
README.md Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00
rstest.config.ts Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00
tsconfig.json Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00
tsup.config.ts Initial commit: Vestige v1.0.0 - Cognitive memory MCP server 2026-01-25 01:31:03 -06:00

Vestige

npm version MCP Compatible License: MIT

Git Blame for AI Thoughts - Memory that decays, strengthens, and discovers connections like the human mind.

Vestige Demo

Why Vestige?

Feature Vestige Mem0 Zep Letta
FSRS-5 spaced repetition Yes No No No
Dual-strength memory Yes No No No
Sentiment-weighted retention Yes No Yes No
Local-first (no cloud) Yes No No No
Git context capture Yes No No No
Semantic connections Yes Limited Yes Yes
Free & open source Yes Freemium Freemium Yes

Quickstart

# Install
npx vestige-mcp init

# Add to Claude Desktop config
# ~/.config/claude/claude_desktop_config.json (Mac/Linux)
# %APPDATA%\Claude\claude_desktop_config.json (Windows)
{
  "mcpServers": {
    "vestige": {
      "command": "npx",
      "args": ["vestige-mcp"]
    }
  }
}

# Restart Claude Desktop - done!

Key Concepts

Cognitive Science Foundation

Vestige implements proven memory science:

  • FSRS-5: State-of-the-art spaced repetition algorithm (powers Anki's 100M+ users)
  • Dual-Strength Memory: Separate storage and retrieval strength (Bjork & Bjork, 1992)
  • Ebbinghaus Decay: Memories fade naturally without reinforcement using R = e^(-t/S)
  • Sentiment Weighting: Emotional memories decay slower via AFINN-165 lexicon analysis

Developer Features

  • Git-Blame for Thoughts: Every memory captures git branch, commit hash, and changed files
  • REM Cycle: Background connection discovery between unrelated memories
  • Shadow Self: Queue unsolved problems for future inspiration when new knowledge arrives

MCP Tools

Tool Description
ingest Store knowledge with metadata (source, people, tags, git context)
recall Search memories by query with relevance ranking
get_knowledge Retrieve specific memory by ID
get_related Find connected nodes via graph traversal
mark_reviewed Reinforce a memory (triggers spaced repetition)
remember_person Add/update person in your network
get_person Retrieve person details and relationship health
daily_brief Get summary of memory state and review queue
health_check Check database health with recommendations
backup Create timestamped database backup

MCP Resources

Resource URI Description
Recent memories memory://knowledge/recent Last 20 stored memories
Decaying memories memory://knowledge/decaying Memories below 50% retention
People network memory://people/network Your relationship graph
System context memory://context Active window, git branch, clipboard

CLI Commands

# Memory
vestige stats              # Quick overview
vestige recall "query"     # Search memories
vestige review             # Show due for review

# Ingestion
vestige eat <url|path>     # Ingest documentation

# REM Cycle
vestige dream              # Discover connections
vestige dream --dry-run    # Preview only

# Shadow Self
vestige problem "desc"     # Log unsolved problem
vestige problems           # List open problems
vestige solve <id> "fix"   # Mark solved

# Context
vestige context            # Show current context
vestige watch              # Start context daemon

# Maintenance
vestige backup             # Create backup
vestige optimize           # Vacuum and reindex
vestige decay              # Apply memory decay

Configuration

Create ~/.vestige/config.json:

{
  "fsrs": {
    "desiredRetention": 0.9,
    "maxStability": 365
  },
  "rem": {
    "enabled": true,
    "maxAnalyze": 50,
    "minStrength": 0.3
  },
  "decay": {
    "sentimentBoost": 2.0
  }
}

Database Locations

File Path
Main database ~/.vestige/vestige.db
Shadow Self ~/.vestige/shadow.db
Backups ~/.vestige/backups/
Context ~/.vestige/context.json

How It Works

Memory Decay

Retention = e^(-days/stability)

New memory:     S=1.0  -> 37% after 1 day
Reviewed once:  S=2.5  -> 67% after 1 day
Reviewed 3x:    S=15.6 -> 94% after 1 day
Emotional:      S x 1.85 boost

REM Cycle Connections

The REM cycle discovers hidden relationships:

Connection Type Trigger Strength
entity_shared Same people mentioned 0.5 + (count * 0.2)
concept_overlap 2+ shared concepts 0.4 + (count * 0.15)
keyword_similarity Jaccard > 15% similarity * 2
temporal_proximity Same day + overlap 0.3

Documentation

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT - see LICENSE


Vestige: The only AI memory system built on 130 years of cognitive science research.