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Alternatives to Memory MCP

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    Related Servers

    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to persistently store, semantically search, and recall project-specific and cross-project knowledge across sessions, with everything kept local in SQLite. It also exposes project context, guidelines, and preferences as MCP resources for agents to read and write directly.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Gives MCP-compatible coding tools a shared, user-owned identity and knowledge layer stored in local files, so preferences, quality standards, lessons, decisions, and project context carry across tools and sessions. Everything is inspectable, editable, and overridable, with AI-proposed writes reviewed or auditable and a preview showing exactly what any caller would receive.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to search and update a shared persistent knowledge base over MCP, so context survives across sessions, models, clients, and team tools.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides a persistent, cross-tool memory layer for AI coding agents via MCP, enabling storage and retrieval of decisions, preferences, and context across different tools and models.
      3 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Provides a local-first, user-owned identity and long-term knowledge layer that multiple MCP coding tools can read from the same on-disk store, keeping preferences, lessons, decisions, and project context consistent across sessions and across clients. Everything stored is inspectable, editable, and overridable, with a preview of exactly what an AI caller would receive and policy-gated approval for high-risk writes.
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    • A
      license
      B
      quality
      B
      maintenance
      Enables AI coding agents to maintain persistent project context, including rules, decisions, environment intelligence, and Git history, using a local-first MCP server with automatic project detection and token-efficient retrieval.
      13
      MIT

    Maintenance

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