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      Persistent context layer for AI coding assistants. Sync memory files from Claude Code to ChatGPT, Gemini, Cursor, Windsurf, and Copilot via a native MCP endpoint. Bearer token auth, JSON-RPC 2.0 over stateless HTTP. Free tier available.
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    • F
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      quality
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      Enables AI coding agents and IDEs to capture conversations, extract structured knowledge into a queryable graph database, and recall past decisions, patterns, files, and errors across all projects and workspaces. Provides persistent memory tools for saving, searching, and cleaning up knowledge via MCP.
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    • A
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      Living memory for AI coding agents (Claude Code, Cursor, Copilot, Codex). Cross-vendor persistent memory, decision recall, and outcome calibration via MCP and hooks.
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    TDQS

    A3.8/5.0

    Scored across 35 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose, with descriptions that precisely define scope (e.g., bulk_delete vs delete_memory, extract_memories vs extract_principles). No overlapping or ambiguous tools exist.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern using snake_case (e.g., save_memory, get_analytics, list_rules). No mixing of conventions or irregular naming.

    Tool Count5/5

    35 tools is appropriate for a comprehensive memory management system covering memories, rules, skills, tasks, reminders, analytics, and import/export. Each tool addresses a specific operation without redundancy.

    Completeness3/5

    Core CRUD for memories is complete, but several operations are missing: no delete_task, no update_rule or delete_rule, no unlink_memories, no list/delete for reminders or skills. These gaps could cause agent failures in managing the full lifecycle.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive