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Alternatives to Project Memory

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides local, evidence-aware research memory with human review, revision history, and an inspector, allowing assistants to preserve source reports, inferences, assumptions, and evidence across sessions.
      4 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI-augmented software delivery through an append-only process record, with hooks for capturing decisions, session outcomes, and commit boundaries, and provides session priming with recency-based context.
      AGPL 3.0
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables users to turn a decision into an append-only judgment record that keeps their own wording and premises separate from the AI's suggestions, then returns on a chosen event or fallback date so reality and later answers can be appended without rewriting the original. Runs over any MCP-capable assistant with records stored in a local project ledger, and never scores or profiles the person.
      672 npm
      1
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to read and manage a Git-native decision ledger, providing tools for querying decisions, evidence, cross-repository workspaces, validation, and commit tracing, all operating locally and without a cloud service.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables coding agents to maintain durable, private, local memory by storing and linking records across collections, with structured review, search, and audit history.
      23
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to store, query, and update persistent project knowledge as a local, Git-friendly knowledge graph, providing structured memory across sessions.
      9
      Apache 2.0

    TDQS

    A4.1/5.0

    Scored across 3 tools

    Disambiguation4/5

    memory_write is clearly distinct, and memory_get covers structured views, discovery, and next-action recovery while memory_context handles bounded subject-level evidence retrieval. The only real ambiguity is that both memory_get and memory_context can retrieve evidence, but their stated use cases are mostly complementary.

    Naming Consistency4/5

    All three tools share the memory_ prefix and use lowercase snake_case, so the set reads predictably. memory_get and memory_write are verb-based names, while memory_context is a noun phrase, creating a minor pattern break.

    Tool Count4/5

    Three tools is on the low end, but each tool is a deliberate command hub covering a very large number of operations, so the count does not feel arbitrarily thin. The design compresses read and write surfaces into three broad endpoints rather than many small ones.

    Completeness4/5

    The read/write/context triad covers capture, retrieval, planning, decisions, progress, reviews, and context management, with append-only behavior making delete unnecessary. Minor gaps exist for externally referenced processes such as lesson_review and skill activation not appearing as first-class tools.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive