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Alternatives to Mnema

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI apps like Claude, ChatGPT, Copilot, Claude Code and Codex to read and write a shared company wiki over MCP, where meetings, work sessions and notes become living pages about people, projects and decisions. It also serves search, briefs, transcripts, decisions and action items, and lets teams connect their own git-hosted team wiki.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Connects any number of AI agents — Claude Code, Codex, or any MCP client — to one git-backed Markdown vault of shared team memory, exposing tools for briefings, search, reading, recent changes, sharing facts, transcripts, and urgent-item acknowledgments. Agent writes are queued and reviewed by a librarian model, then privacy-checked, linted, and committed as attributed git changes, so every agent reads the same current truth.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables people and AI assistants to share one persistent Markdown-in-Git memory, so any MCP client can load current context, save sessions and decisions, search notes, and work from a team's real knowledge across machines.
      2 npm
      AGPL 3.0
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI applications to access and contextualize organizational knowledge sources including GitHub repositories and internal documentation through standardized MCP protocol integration. Features OAuth 2.1 authentication, vector-based semantic search, and optimized context chunking for enterprise development workflows.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI agents with direct, permissioned access to team documents, databases, spreadsheets, and knowledge via an MCP interface, enabling natural-language queries and management.
      926 npm
      MIT