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udjin-labs/mnemostack
by udjin-labs
[](https://glama.ai/mcp/servers/udjin-labs/mnemostack) 🐍 🏠 🍎 🪟 🐧 - Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend. 82.5% strict accuracy on LoCoMo benchmark. `pip install 'mne
About
[](https://glama.ai/mcp/servers/udjin-labs/mnemostack) 🐍 🏠 🍎 🪟 🐧 - Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend. 82.5% strict accuracy on LoCoMo benchmark. `pip install 'mnemostack[mcp]'`
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Endpoint URL
https://github.com/udjin-labs/mnemostackTransport
Auth Method
Protocol Version
MCP Config Snippet
{
"mcpServers": {
"udjin-labsmnemostack": {
"url": "https://github.com/udjin-labs/mnemostack"
}
}
}Service Details
- Protocol
- —
- Pricing
- free