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DSH Memory Protocol

DSH Memory Protocol

by Arypal

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to store and recall durable facts, decisions, and lessons over MCP using hybrid semantic and keyword search, typed memories, graph relations, sessions, and time-travel queries. Runs locally with no server process or API key, persisting everything to files that both agents and a CLI can share.
      20 npm
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables persistent cross-session memory, correction-pattern tracking, and self-evolving behavioral frameworks, so past facts and decisions stay searchable by meaning and recurring mistakes fade over time. Runs entirely locally through 15 MCP tools plus hooks, with optional semantic search via Ollama embeddings and no cloud or API key required.
      6 npm
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    • A
      license
      B
      quality
      C
      maintenance
      Enables multiple AI agents and harnesses to share one local SQLite-backed memory store over standard MCP, so decisions, preferences, and past pitfalls carry across sessions instead of being re-explained. Runs fully offline with local Chinese-capable search, zero dependencies, and no accounts, API keys, or telemetry.
      11
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to build and query a private, on-device long-term memory through 15 MCP tools for storing decisions, searching past context, tracking entity state, merging duplicates, and resolving conflicts. Automatic hooks capture each prompt and inject relevant memories at session start, so context carries across sessions without leaving the machine.
      2,513 npm
      3
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Exposes a local SQLite-backed long-term memory to AI agents as MCP tools, letting them add conversations and documents, record dated facts with provenance, search and assemble context, and edit, inspect, or forget what was stored. It runs with your own embedding and LLM keys, so memories stay readable, exportable, and portable as plain markdown.
      MIT
    • F
      license
      A
      quality
      B
      maintenance
      Shared fleet memory for AI agents — what one agent learns, the whole fleet knows. Nightly self-correction: stale facts rewritten in place, duplicates merged. Recall pushed into every prompt in supported coding agents. Self-hosted.
      11
      3
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