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Alternatives to myMemory

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search and read Markdown notes by keyword, meaning and links, with cited recall and honest no-match results. It also supports guarded, evidence-checked memory writes with receipts, conflict handling and lifecycle-aware filtering.
      2
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to search and query a local knowledge base of scattered notes and docs through hybrid vector plus BM25 retrieval with section-level citations, and to store, retract and explore durable memories, note links and agent harness memories. It also exposes note resources plus briefing, study-plan and contradiction-check prompts, all backed by a shared local index.
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables local-first, verbatim memory retrieval for AI agents, storing notes and text across sessions and retrieving original passages without generative rewriting.
      6
      70 PyPI
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to share a local Markdown-based memory by searching notes and retrieving only relevant passages, reducing token use and cleaning untrusted note content before it is read or saved.
      41 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Local Markdown memory for AI agents with multilingual BM25 retrieval (optional semantic fusion). Search, recall, write, archive and curate notes in a vault you choose via the mnemosyne-mcp server.
      116 PyPI
      13
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives AI agents a long-term memory layer over plain Markdown notes, letting them run ranked, citable searches, record new facts, and inspect conflicts and stale entries. Results carry freshness labels, supersession history, and audit fields like search timestamp and no-match status so agents can prove a search actually ran.
      MIT