apunkt/vestige
1
0
Fork 0
mirror of https://github.com/samvallad33/vestige.git synced 2026-04-25 00:36:22 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions 2
vestige/packages/vestige-mcp-npm
History
Exact
Sam Valladares 40b963e15b chore(release): v2.0.7 "Visible" 
Hygiene release + two UI gap closures. Full CHANGELOG in CHANGELOG.md.

Version bumps:
- vestige-core: 2.0.6 -> 2.0.7
- vestige-mcp: 2.0.6 -> 2.0.7
- @vestige/dashboard: 2.0.6 -> 2.0.7
- @vestige/init: 2.0.6 -> 2.0.7
- vestige-mcp-server: 2.0.6 -> 2.0.7

Rebuild: pnpm --dir apps/dashboard run build regenerates apps/dashboard/build/**
with the v2.0.7 asset hashes.

Pre-release validation green:
- cargo check --workspace: clean
- cargo test -p vestige-core --lib: 366 passed
- cargo test -p vestige-mcp --lib: 425 passed
- pnpm run check (svelte-check): 580 files, 0 errors
- cargo clippy on touched crates: -D warnings clean
- 4-parallel-agent pre-merge audit passed (security, code quality,
  end-to-end flow, external verification). Two MEDIUM fixes landed
  in-branch before tag.

The 12 feature/fix commits on chore/v2.0.7-clean are preserved via
fast-forward merge so each logical change stays independently
revertible on main.
2026-04-19 20:37:11 -05:00
..
bin fix: v2.0.1 release — fix broken installs, CI, security, and docs 2026-03-01 20:20:14 -06:00
scripts fix: v2.0.1 release — fix broken installs, CI, security, and docs 2026-03-01 20:20:14 -06:00
.gitignore feat(v2.0.5): Intentional Amnesia — active forgetting via top-down inhibitory control 2026-04-14 17:30:30 -05:00
.npmignore fix(npm): add .npmignore to exclude cache and binaries 2026-01-26 23:50:40 -06:00
package.json chore(release): v2.0.7 "Visible" 2026-04-19 20:37:11 -05:00
README.md fix: v2.0.1 release — fix broken installs, CI, security, and docs 2026-03-01 20:20:14 -06:00

README.md

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"

  1. Verify binary exists: which vestige-mcp
  2. Test directly: vestige-mcp (should wait for stdio input)
  3. 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