Hivemind

io.github.monochrome-muncher/hivemind

Shared long-term memory for a team's AI agents. What one agent learns, the others can find.

Connect this server

Add this to your MCP client config — claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor).Suits: Claude Desktop · Cursor.

{
  "mcpServers": {
    "hivemind": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/monochrome-muncher/hivemind:v2.18.1"
      ],
      "env": {
        "HIVEMIND_DATABASE_URL": "<your HIVEMIND_DATABASE_URL>",
        "HIVEMIND_EMBEDDING_ENDPOINT": "<your HIVEMIND_EMBEDDING_ENDPOINT>",
        "HIVEMIND_EMBEDDING_MODEL": "Qwen/Qwen3-Embedding-0.6B",
        "HIVEMIND_EMBEDDING_DIM": "1024",
        "HIVEMIND_EMBEDDING_API_KEY": "<your HIVEMIND_EMBEDDING_API_KEY>"
      }
    }
  }
}
Environment variables
  • HIVEMIND_DATABASE_URLrequiredsecretPostgres 16+ with pgvector 0.8+, for example postgresql://user:password@host:5432/hivemind. Migrations run when the container starts.
  • HIVEMIND_EMBEDDING_ENDPOINTrequiredAn OpenAI-compatible embeddings endpoint, for example a local vLLM at http://host.docker.internal:8001/v1.
  • HIVEMIND_EMBEDDING_MODELThe embedding model name the endpoint serves.
  • HIVEMIND_EMBEDDING_DIMVector width; must match the model and stay the same for the life of the database (at most 2000).
  • HIVEMIND_EMBEDDING_API_KEYsecretAPI key for the embedding endpoint, if it needs one.

A starting point — check the repository for exact arguments and setup. Restart your client after editing the config.

Category
Developer Tools
Version
2.18.1
Registry
active
Published
11/8/2026
Browse all Developer Tools →

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