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    • A
      license
      A
      quality
      B
      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
    • A
      license
      A
      quality
      B
      maintenance
      Provides persistent cross-session memory and full-text search for AI coding assistants, storing project context, decisions, and preferences while enabling searchable access to conversation history via local SQLite.
      8
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI coding agents persistent memory by storing observations, decisions, and learnings in a local SQLite database with vector search, full-text search, and a rules engine.
      4
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      Provides persistent local memory functionality for AI assistants, enabling them to store, retrieve, and search contextual information across conversations with SQLite-based full-text search. All data stays private on your machine while dramatically improving context retention and personalized assistance.
      3
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI coding assistants with persistent project memory to retain architectural decisions, code patterns, and domain knowledge across sessions. It stores data locally in a SQLite database, allowing agents to remember, recall, and manage project-specific context using full-text search.
      8 npm
      Apache 2.0

    TDQS

    A3.9/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: add/update/delete/search memories operate on individual facts while get_profile/set_profile manage static namespace data and memory_stats reports counts. The descriptions even cross-reference each other (e.g., 'use update_memory' vs re-adding), leaving little room for misselection.

    Naming Consistency4/5

    Six of seven tools follow a consistent snake_case verb_noun pattern (add_memory, search_memories, update_memory, get_profile, set_profile, delete_memory). Only memory_stats deviates as a noun-only label, a minor inconsistency that is still readable.

    Tool Count5/5

    Seven tools is well-scoped for a memory store, covering the essential lifecycle operations without redundant or filler tools. Each tool clearly earns its place.

    Completeness4/5

    The surface covers full lifecycle CRUD (add/search/update/delete) plus profile get/set and stats, which is strong. Minor gaps exist, such as no list-all/export or namespace management, but core agent workflows are fully supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues