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Alternatives to memory

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query your complete local conversation history and knowledge graph over MCP, including full-fidelity transcripts, search, and typed, dated entity relationships.
      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store, search, and link typed knowledge entities such as memories, people, projects, tasks, and documents over a Streamable HTTP MCP endpoint. Combines hybrid BM25 and vector search with a knowledge graph, and separates short-lived session context from durable memory that future agents can trust.
      10
      AGPL 3.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to share a portable, user-level memory layer through MCP, allowing them to store, search, update, link, and consolidate facts with optional full-text and vector retrieval.
      7
      9 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Auto-extracts entities and relationships from natural conversations to build a personal knowledge graph. Provides MCP tools for storing and querying people, organizations, topics, and interactions.
      35 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables multiple MCP agents to read and write a single user-controlled, local-first fact layer under one user identity with explicit scopes, preserving sources, versions, permissions, and audit history. Supports structured memories such as preferences, facts, task state, and decisions, plus structured handoff capsules so one agent can resume another's work by task ID.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives every agent one shared, token-scoped gateway to a personal corpus of mail, texts, calendar, bookmarks, coding sessions and saved pages, plus a current profile, notes, and skills and styles distilled from approved work. Agents call it first to load context and then search, read, save, or record new knowledge, so context learned in one tool carries into the next.
      MIT

    Maintenance

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