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Alternatives to Memory

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    • 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 Facts carry a validity window and a confidence score, so an outdated one is superseded and downweighted rather than deleted, and retrieval fuses BM25, vector similarity and a knowledge graph.
      4
      Business Source 1.1
    • A
      license
      A
      quality
      B
      maintenance
      Provides AI agents with a persistent long-term memory over a single SQLite file, letting them write, screen, consolidate, and recall notes across sessions without any generative LLM in the loop. Recall judges relevance, follows links between notes, and signals when memory is insufficient, so agents get one to three useful facts per question instead of a generic top-k list.
      11
      4
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to store and retrieve long-term memories in a local SQLite file, with multilingual search, optional semantic search, and controlled read/write access.
      4
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to persist facts with tags, sources, and importance in a local SQLite database, retrieve them through hybrid BM25 plus embedding search weighted by retention decay, link or supersede related entries, and review everything in a read-only visual dashboard showing the memory graph and timeline.
      6
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to save, recall, and forget persistent memories stored entirely on the local machine in SQLite, using hybrid semantic and keyword search with on-device embeddings, plus spaces and profile context injection.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Lets AI clients store, retrieve, update, and forget long-term facts in a local SQLite database with deterministic lexical search, sharing the same memory across multiple clients without relying on model APIs or embedding services.
      7
      MIT