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    Build Agents and Models on One Platform

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    Memory OS

    Memory OS

    A 7-layer memory operating system for Hermes Agent

    ...The system uses seven memory layers that combine flat files, SQLite, full-text search, structured facts, semantic recall, Qdrant vector storage, and a self-curating wiki pipeline. It injects only relevant context back into the agent so memory remains useful without wasting tokens. The project is provider-agnostic and can work with services such as OpenRouter, OpenAI, Anthropic, Ollama, or local models. It is useful for power users who want a self-hosted, long-term memory layer for AI coding and research workflows.
    Downloads: 18 This Week
    Last Update:
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