mirror of https://github.com/samvallad33/vestige.git synced 2026-05-09 15:52:37 +02:00

Sam Valladares ed6aeadb70 feat: add MCPB bundle and fix npm package distribution

Two distribution methods now available:

1. npm (for Claude Code / developers):
   npm install -g vestige-mcp-server
   claude mcp add vestige vestige-mcp -s user

2. MCPB (for Claude Desktop / one-click install):
   Download vestige-1.1.0.mcpb from releases, double-click

Changes:
- Renamed npm package to vestige-mcp-server (vestige-mcp was taken)
- Fixed postinstall to download binaries from GitHub releases
- Added vestige-mcpb package with manifest and build script
- Uploaded .mcpb bundle to v1.1.0 release

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2026-01-27 00:15:17 -06:00

3.4 KiB

Raw Blame History

@vestige/mcp

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)
Linux	x86_64
Windows	x86_64

License

MIT

3.4 KiB Raw Blame History