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ceorkm
by ceorkm

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    • 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.
      0
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Provides AI coding assistants with persistent memory storage using a local SQLite database. Enables tools to remember project details, notes, and relationships across sessions to maintain context and reduce repetitive explanations.
      17
      4
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Gives AI coding agents a local-first persistent memory they can read and write directly during sessions, storing decisions, preferences, error patterns, and guidelines in per-project and global SQLite stores. Enables semantic and keyword retrieval of relevant context across sessions so agents start work already knowing a codebase's conventions and history.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides a local long-term memory layer for AI coding tools like Cursor and Claude Code, enabling cross-session, cross-tool sharing of project facts, user preferences, decisions, and workflows.
      6 npm
      2
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to read and write persistent memory directly during sessions, storing decisions, preferences, error patterns, research, and cross-project guidelines in local SQLite databases. Supports semantic search so relevant project and global context can be recalled by meaning, fully offline and without API keys.
      -

    TDQS

    B3.4/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools have distinct purposes, but memory_get and memory_get_multiple are closely related, and memory_ask could be conflated with memory_search if not careful. Overall, boundaries are clear.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case, making them predictable and easy to navigate.

    Tool Count5/5

    With 12 tools, the set is well-scoped for a memory and project management system, neither too sparse nor overwhelming.

    Completeness3/5

    Missing a memory update tool and project listing capability. The set covers core CRUD for memories but lacks lifecycle operations for projects and explicit memory updates.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues