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    • A
      license
      A
      quality
      D
      maintenance
      A personal memory system that provides AI assistants with long-term memory capabilities through semantic search and vector storage. It enables Claude Code to store, retrieve, and manage personal context and project preferences using flexible LLM backends.
      8
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Persistent memory management for AI assistants like Claude, enabling creation, search, and retrieval of memories with tagging and triggers.
      10
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Persistent memory for Claude Code — a self-evolving knowledge layer that survives across sessions, grows from every conversation, and surfaces relevant context automatically.
      14
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Persistent memory for AI assistants — store insights, decisions, and knowledge that survives across conversations.
      15
      Apache 2.0

    TDQS

    B3.2/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between 'storeAssistantMessage'/'storeUserMessage' and 'endConversation'/'initConversation', which bundle similar operations. The 'manageVector' tool is broad but clearly defined, while others like 'getRecentEpisodes' and 'getRecentMessages' target different memory types, reducing confusion.

    Naming Consistency3/5

    Naming is mixed with camelCase (e.g., 'checkHealth') and snake_case (e.g., 'store_assistant_message'), though most tools use a verb_noun pattern. Inconsistencies like 'diagnoseVectors' vs. 'manageVector' and variations in verb usage (e.g., 'get', 'store', 'record') detract from a uniform convention.

    Tool Count4/5

    With 18 tools, the count is slightly high but reasonable for a memory system server covering health, diagnostics, conversation management, and multiple memory types (short-term, episodic, long-term). It avoids being overwhelming by grouping related operations, though some tools could be consolidated.

    Completeness5/5

    The tool set comprehensively covers the memory system domain, including initialization, conversation handling, message storage, episode recording, milestone/requirement/decision tracking, vector management, health checks, diagnostics, and context retrieval. There are no obvious gaps, supporting full lifecycle operations for memory management.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues