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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables Claude Code sessions to automatically capture and retrieve architectural decisions, code changes, bug fixes, and configuration context across sessions using local SQLite storage and hybrid semantic/keyword search.
      68 PyPI
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Local memory of your coding-agent sessions. Imports Claude Code, Codex, opencode and Copilot transcripts, extracts decisions and learnings with a link back to the session turn, and lets agents search them over MCP.
      9
      1
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Shared, local memory for AI coding tools that stays true to your code. Claude Code, Cursor, and Codex share one memory per project; memories are linked to the files they depend on and retired automatically when those files change. Includes a local dashboard, import from CLAUDE.md/AGENTS.md, and export. Runs entirely on your machine.
      10
      3
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Persistent memory for AI agents across Claude Code, Cowork, Codex, Cursor and Hermes Agent. Saves, searches and recalls sessions from a local SQLite store through 40+ MCP tools, with auto-save and auto-load hooks, project tagging and export/import. Also a Hermes Agent memory provider plugin in the official catalog. Free: keyword search, 50 sessions. Pro ($8/mo): semantic search and team memory.
      33
      264 PyPI
      12
      Business Source 1.1
    • A
      license
      A
      quality
      A
      maintenance
      Persistent memory for AI coding agents, storing decisions, bug fixes, conventions, and discoveries in a local SQLite database and automatically recalling them when relevant. Works with Claude Code, Codex, Cursor, Gemini CLI, and other MCP-compatible agents.
      22
      4
      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 16 tools

    Disambiguation4/5

    Most tools target a clearly distinct action+resource (export/import handoff, save_note, link_sessions, get_decisions, get_stats), and descriptions explicitly state when to use and when not to call each one. The only mild overlap is the discovery trio (search_sessions, suggest_related_sessions, list_sessions) and get_linked_sessions vs suggest_related_sessions, but the keyword-vs-algorithmic-vs-filter distinction is spelled out well enough to disambiguate.

    Naming Consistency5/5

    All 16 names follow a consistent snake_case verb_noun pattern (export_handoff, annotate_session, save_note, get_session_detail, list_sessions, set_scope). Verbs are used predictably: get_/list_ for reads, save_/annotate_/link_/set_ for writes, export_/import_ for package transfer.

    Tool Count4/5

    16 tools is at the upper end of the ideal 3-15 range but each maps to a real capability in the session-memory/handoff lifecycle rather than being redundant. A few could arguably be folded (set_scope as a config tool, get_linked_sessions into get_session_detail), so it is slightly heavy but reasonable.

    Completeness4/5

    The surface covers the core lifecycle: capture (save_note, annotate_session), retrieve (search_sessions, get_session_detail, list_sessions, get_decisions, get_file_history, get_unresolved), link/graph, and handoff transfer with quarantine release. Gaps are minor: no delete/forget operation for sessions, notes or decisions, and no explicit add_decision tool (decision capture is only implicit via save_note).

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive