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FactLayer

by Rubber-Duck-Screaming
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    • widemem-ai

      remete618
      A
      license
      Not graded
      quality
      A
      maintenance
      Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.
      49
      Apache 2.0

    • mcp-haki

      GetHaki
      A
      license
      Not graded
      quality
      C
      maintenance
      Self-hosted long-term memory for AI agents on your own Postgres. Facts are dated, versioned and superseded rather than silently overwritten, every recall ships with an inspectable trace, and agents can correct wrong memories from inside the conversation.
      2
      Apache 2.0

    • kepta

      DamianTodorovic
      A
      license
      Not graded
      quality
      B
      maintenance
      Local memory for AI agents in one SQLite file on your own machine. Facts carry a validity window and a confidence score, so an outdated one is superseded and downweighted rather than deleted, and retrieval fuses BM25, vector similarity and a knowledge graph.
      2
      AGPL 3.0

    • SeenRelay

      ovladon
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to check and contribute recent observations of source-backed facts, reducing redundant revalidation of unchanged information.
      41 npm
      MIT

    • agent-memory

      satvik-sahore
      A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to maintain long-term, cross-session memory by extracting facts, reconciling state conflicts, and retrieving relevant memories via vector search.
      4
      MIT

    • Mnemosure

      jsiksn
      A
      license
      A
      quality
      A
      maintenance
      A source-grounded memory layer for AI agents that stores, links, and recalls factual memories with confidence levels and citations, enabling honest answers when information is not in the record.
      3
      MIT

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