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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-compatible coding tools to start from one portable, local-first identity and knowledge layer containing the user's approved preferences, quality standards, lessons, decisions, and project context. It stores this in local files the user owns and can inspect, edit, or override, with governance over AI-proposed writes and no cloud account required.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables multiple MCP-compatible coding tools to start from a single user-owned identity and knowledge layer, so preferences, quality standards, lessons, decisions, and project context carry across Claude Code, Codex, Cursor, Windsurf, and others. Everything is stored in local files the user can inspect, edit, approve, or override, with a read-only preview of what any AI caller would receive.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-compatible coding tools to start from one portable, locally stored work-identity layer, so preferences, quality standards, lessons, decisions, and project context carry across Claude Code, Codex, Cursor, Windsurf, and similar clients instead of being siloed per tool. Users keep that knowledge as inspectable JSON/Markdown files they can preview, approve, edit, or override, with no cloud account required.
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    • A
      license
      A
      quality
      A
      maintenance
      A local memory layer for AI coding tools that stores user preferences, lessons, and project context as local files, exposed via MCP so different AI tools can share the same understanding of you.
      19
      898 PyPI
      163
      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides a local-first persistent memory layer for coding assistants, enabling cross-project user preferences, per-project durable and working memory, session archives, and reflective recommendations through MCP tools.
      43 npm
      MIT