Weasley DeepMind MCP server

<!-- mcp-name: io.github.potatohoney-p/weasley-deepmind -->

Weasley DeepMind

Weasley DeepMind is a self-hosted memory server for AI agents. It stores small, typed memory fragments, links related evidence, and recalls the right context through MCP without forcing an entire conversation history back into every prompt.

It is part of the Weasley Open Source family and is released under Apache-2.0.

Why DeepMind

• Useful recall, not a transcript dump. Keyword, PostgreSQL GIN, graph-neighbor, and optional pgvector search are merged and ranked within a token budget.
• Memory with structure. Facts, decisions, procedures, preferences, episodes, and errors keep provenance, importance, links, and lifecycle state.
• MCP-native. Use a local stdio process or the Streamable HTTP endpoint at /mcp.
• Fail-closed HTTP security. The HTTP server rejects requests when no access key is configured. Authentication can only be disabled explicitly for local development.
• Self-hosted data. PostgreSQL is the system of record. Redis and external embedding or LLM providers are optional.
• Operationally ready. Migrations are serialized with a PostgreSQL advisory lock, secrets are redacted from logs, and updates refuse dirty Git checkouts.

Requirements

• Node.js 20.19 or newer
• PostgreSQL 15 or newer with the pgvector extension
• Redis 7 (optional, for cache and low-latency keyword lookup)

Install from npm

npm install --global weasley-deepmind

Create a PostgreSQL database with pgvector, then configure the connection:

export DATABASE_URL='postgresql://postgres:password@localhost:5432/weasley_deepmind'
export WEASLEY_DEEPMIND_ACCESS_KEY='replace-with-a-long-random-secret'

weasley-deepmind migrate
weasley-deepmind serve

The HTTP server listens on http://127.0.0.1:57332 by default. Its MCP endpoint is http://127.0.0.1:57332/mcp.

Add it to an MCP client

The npm package includes a newline-delimited stdio transport. A generic MCP client configuration looks like this:

{
  "mcpServers": {
    "weasley-deepmind": {
      "command": "npx",
      "args": ["-y", "weasley-deepmind", "stdio"],
      "env": {
        "DATABASE_URL": "postgresql://postgres:password@localhost:5432/weasley_deepmind",
        "WEASLEY_DEEPMIND_AUTO_MIGRATE": "true"
      }
    }
  }
}

For an already-running HTTP deployment, point the client at /mcp and send Authorization: Bearer .

Run the repository locally

git clone https://github.com/potatohoney-p/weasley-deepmind.git
cd weasley-deepmind
npm ci
docker compose -f docker-compose.dev.yml up -d
cp .env.example.minimal .env
npm run migrate
npm start

The development Compose file exposes PostgreSQL at localhost:35432 and Redis at localhost:36379. Update .env to match those ports before starting the server.

Core flow

flowchart LR
    Agent["AI agent"] --> MCP["stdio or Streamable HTTP"]
    MCP --> Tools["remember · recall · reflect · context"]
    Tools --> Rank["keyword + graph + vector ranking"]
    Rank --> Postgres["PostgreSQL + pgvector"]
    Rank -. optional cache .-> Redis["Redis"]

The main tool set includes remember, batchremember, recall, forget, amend, link, reflect, context, memorystats, memoryconsolidate, graphexplore, fragmenthistory, reconstructhistory, and search_traces. Tool availability can be limited by API-key permissions and operating mode.

Configuration

Shortened. The full README is on GitHub.