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Bumps vestige-core + vestige-mcp + @vestige/dashboard + vestige-mcp-server + @vestige/init from 2.0.5 → 2.0.6, regenerates the Cargo.lock, rebuilds the dashboard with the new events.ts handlers + intentions page fix baked in, and writes the v2.0.6 "Composer" entry to CHANGELOG.md. Release contents: - fix(dashboard): intentions page priority + trigger rendering (commit 9df63de) - feat(dashboard): wire 6 graph event handlers — suppress, unsuppress, Rac1 cascade, Connected, ConsolidationStarted, ImportanceScored (commit f085cfd) - feat(mcp): opt-in VESTIGE_SYSTEM_PROMPT_MODE=full composition mandate (commit 7d7a7c2) - docs(readme): v2.0.6 header + Intel Mac / Windows build-from-source honesty (commit ede0a02) Pre-push gates green: cargo test --workspace --release, cargo clippy --all-targets -D warnings, svelte-check (580 files 0 errors), vitest (171/171). No regressions of merged PRs #18/20/22/24/26/28/29/30/32/33. |
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vestige-mcp-server
Vestige MCP Server - A synthetic hippocampus for AI assistants.
Built on 130 years of cognitive science research, Vestige provides biologically-inspired memory that decays, strengthens, and consolidates like the human mind.
Installation
npm install -g vestige-mcp-server
This automatically downloads the correct binary for your platform (macOS, Linux, Windows) from GitHub releases.
What gets installed
| Command | Description |
|---|---|
vestige-mcp |
MCP server for Claude integration |
vestige |
CLI for stats, health checks, and maintenance |
Verify installation
vestige health
Usage with Claude Code
claude mcp add vestige vestige-mcp -s user
Then restart Claude.
Usage with Claude Desktop
Add to your Claude Desktop configuration:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"vestige": {
"command": "vestige-mcp"
}
}
}
CLI Commands
vestige stats # Memory statistics
vestige stats --states # Cognitive state distribution
vestige health # System health check
vestige consolidate # Run memory maintenance cycle
Features
- FSRS-6 Algorithm: State-of-the-art spaced repetition for optimal memory retention
- Dual-Strength Memory: Bjork & Bjork (1992) - Storage + Retrieval strength model
- Synaptic Tagging: Memories become important retroactively (Frey & Morris 1997)
- Semantic Search: Local embeddings via nomic-embed-text-v1.5 (768 dimensions)
- Local-First: All data stays on your machine - no cloud, no API costs
Storage & Memory
Vestige uses SQLite for storage. Your memories are stored on disk, not in RAM.
- Database limit: 216TB (SQLite theoretical max)
- RAM usage: ~64MB cache (configurable)
- Typical usage: 1 million memories ≈ 1-2GB on disk
You'll never run out of space. A heavy user creating 100 memories/day would use ~1.5GB after 10 years.
Embeddings
On first use, Vestige downloads the nomic-embed-text-v1.5 model (~130MB). This is a one-time download and all subsequent operations are fully offline.
The model is stored in .fastembed_cache/ in your working directory, or you can set a global location:
export FASTEMBED_CACHE_PATH="$HOME/.fastembed_cache"
Environment Variables
| Variable | Description | Default |
|---|---|---|
VESTIGE_DATA_DIR |
Data storage directory | ~/.vestige |
VESTIGE_LOG_LEVEL |
Log verbosity | info |
FASTEMBED_CACHE_PATH |
Embeddings model location | ./.fastembed_cache |
Troubleshooting
"Could not attach to MCP server vestige"
- Verify binary exists:
which vestige-mcp - Test directly:
vestige-mcp(should wait for stdio input) - Check Claude logs:
~/Library/Logs/Claude/(macOS)
"vestige: command not found"
Reinstall the package:
npm install -g vestige-mcp-server
Embeddings not downloading
The model downloads on first ingest or search operation. If Claude can't connect to the MCP server, no memory operations happen and no model downloads.
Fix the MCP connection first, then the model will download automatically.
Supported Platforms
| Platform | Architecture |
|---|---|
| macOS | ARM64 (Apple Silicon), x86_64 (Intel) |
| Linux | x86_64 |
| Windows | x86_64 |
License
AGPL-3.0-only