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Alternatives to synaptiq

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
      14 npm
      50
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to store and retrieve long-term memories with semantic search, supporting various memory types and tags via PostgreSQL and pgvector.
      13 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents and assistants to share a local-first, token-efficient persistent memory layer across MCP-compatible runtimes, storing typed project facts, decisions, failures, and solutions with temporal validity. It supports offline use and Postgres-compatible storage, so agents can retrieve relevant context without re-embedding entire repositories.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Self-hosted long-term memory for AI agents on your own Postgres. Facts are dated, versioned and superseded rather than silently overwritten, every recall ships with an inspectable trace, and agents can correct wrong memories from inside the conversation.
      2
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to keep a self-managing rulebook and memory in plain Postgres, turning statements their owner makes in passing into binding rules once stated explicitly, about one client, or twice in distinct contexts within 90 days. Rules are recalled widest-first across a tree of spaces and task kinds with the narrower rule winning, while an append-only fact store tracks confidence, salience, and near-duplicate restatements, and everything added on its own is listed with an undo.
      MIT

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