MCPs › hybrid-rag-memory
Enables AI agents to use a hybrid dense+sparse RAG system with tag-based long-term memory (importance, knowledge-type decay, access-frequency boost) via MCP tools for document ingestion, hybrid search, staged reranking, forgetting, and index management.
Not monetized yet
Turn hybrid-rag-memory’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
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Install hybrid-rag-memory
For anyone using hybrid-rag-memory — no Lulu account needed# stdio server — install per the repository README: https://github.com/masaki-kato-119/hybrid-rag-memory
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hybrid-rag-memory installs from source — follow the repository README.
Submitted directly to Lulu MCPs.
Unrated out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
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