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2 dépôts

Awesome GitHub RepositoriesShared Knowledge Layers

Architectures for storing and retrieving universal principles and reusable insights across multiple agent interactions.

Distinguishing note: Distinct from Knowledge Management Systems: focuses on the runtime retrieval of shared context across agents rather than the manual seeding process.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Shared Knowledge Layers. Refine with filters or upvote what's useful.

Awesome Shared Knowledge Layers GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • agno-agi/agnoAvatar de agno-agi

    agno-agi/agno

    40,717Voir sur GitHub↗

    Agno is an agent operating system designed to manage the lifecycle, tool execution, and persistent state of autonomous agents across distributed infrastructure. It provides a unified runtime environment that wraps diverse agent frameworks into a consistent, interoperable protocol, allowing developers to build and deploy complex multi-agent systems that coordinate tasks and delegate sub-processes. The platform distinguishes itself through a robust governance and orchestration layer that includes human-in-the-loop approval gates, role-based access control, and a centralized API gateway. It feat

    AgentOS manages a shared knowledge layer where agents store and retrieve universal principles, best practices, and reusable insights that apply across interactions.

    Pythonagentsaiai-agents
    Voir sur GitHub↗40,717
  • letta-ai/lettaAvatar de letta-ai

    letta-ai/letta

    21,168Voir sur GitHub↗

    Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com

    Maintains shared archival memory and state blocks for knowledge access across multiple agents.

    Pythonaiai-agentsllm
    Voir sur GitHub↗21,168
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