Armory
Source
Browse
MCPs

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]'`

Score
57.2452 signals
Evidence
7 stars · 1 fork
Last commit
as last read from GitHub; most reads are from 2 Sep 2026 or later
Listed

Install

No one-command install. Set it up from its source.

Alternatives · MCPs

  1. lyonzin-knowledge-rag265 stars · 38 forks95.138
  2. elvismdev-mem0-mcp-selfhosted107 stars · 46 forks93.213
  3. rag-memory47 stars · 6 forks83.715

What it is

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]'

When to use it

When an agent needs the "Knowledge & Memory" capability this MCP server exposes.

Source

Migrated from the awesome-mcp-servers navigation directory (category: Knowledge & Memory). See https://github.com/udjin-labs/mnemostack.