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Related Servers

Alternatives to aws-team-memory

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude, ChatGPT, and other AI apps to share one MCP-accessible hub of Markdown-based memories and skills, with per-app adapters, versioned writes, git history, saving policies, Google OAuth, and a web UI.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables Claude Code to automatically recall and write shared long-term memories stored as plain Markdown, combining BM25, vector, and link-graph hybrid search so relevant notes are injected on every prompt. Memories persist across sessions, projects, and machines, with status tracking for pending and resolved items plus optional end-of-session curation.
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables persistent cross-session memory for Claude and other AI agents by storing and automatically retrieving decisions, patterns, and knowledge across conversations and workspace contexts, surviving restarts and context compaction.
      24 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides persistent cross-session memory for Claude and other AI agents, enabling users to store decisions, patterns, and knowledge once and automatically retrieve relevant context in future conversations across sessions and workspaces.
      24 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Cross-machine memory system for Claude Code that records sessions as searchable markdown, syncs across machines via Git, and exposes full-text search, semantic search, session summarization, and a knowledge graph through an MCP server.
      40 npm
      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

    Maintenance

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