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lumetra-io

Engram Memory MCP

by lumetra-io

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables hybrid retrieval over agent memory and documents by fusing BM25 lexical and cosine vector rankings with reciprocal rank fusion, plus knowledge graph expansion, semantic caching, and context reordering for RAG.
      7
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to build and query structured semantic graphs, extracting, traversing and multi-hop reasoning over entity-relation-object triples while producing Cypher and JSON-LD graph output. It also combines BM25 lexical and dense vector retrieval with rank fusion, semantic caching and context reordering for grounded agentic memory.
      7
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to maintain multi-tier memory across working scratchpad, dialogue buffer, and episodic stores with recency decay. Supports hybrid BM25/vector retrieval, rank fusion, graph expansion, and context reordering for optimized MCP-based memory and RAG workflows.
      7
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI assistants with persistent long-term memory by organizing experiences into documents, memory atoms, and a knowledge graph, and enabling hybrid BM25/vector/graph retrieval with decay, reinforcement, and automatic recall.
      MIT

    Maintenance

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