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>"
}
}
}
}- 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
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