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kdnye
by kdnye

Related Servers

Alternatives to Context Brain

No user-submitted related servers found.

    Related Servers

    • 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.
      1 npm
      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to capture, share, and recall team knowledge with role-based access control, source attribution, and shared skills over MCP.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to read and write into a self-hosted personal knowledge base built from imported chats, documents, and notes, with a knowledge graph and AI-powered enrichment.
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      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
      A dynamic, governed memory layer for Markdown notes that serves knowledge to AI clients and humans through a secure MCP server, with scoped access, git-audited changes, and optional LLM-powered semantic search.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to search a shared, permission-aware PostgreSQL knowledge memory before doing work and save structured reusable solutions afterward, with multi-user visibility controls, versioning, feedback, and token-efficient retrieval across MCP clients.
      MIT

    Maintenance

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