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3 repositorios

Awesome GitHub RepositoriesCross-Node State Sharing

Mechanisms for maintaining a global state accessible by all processing nodes in a graph.

Distinct from Reactive Data Sharing: Distinct from Reactive Data Sharing: focuses on global state access for workflow nodes rather than reactive object references.

Explore 3 awesome GitHub repositories matching data & databases · Cross-Node State Sharing. Refine with filters or upvote what's useful.

Awesome Cross-Node State Sharing GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • the-pocket/pocketflow-tutorial-codebase-knowledgeAvatar de The-Pocket

    The-Pocket/PocketFlow-Tutorial-Codebase-Knowledge

    12,396Ver en GitHub↗

    This project is a comprehensive suite of AI tools and frameworks, featuring an LLM multi-agent orchestrator, an autonomous agent runtime, and a stateful application framework. It provides the infrastructure to build and manage specialized AI agents capable of coordinating complex tasks through graph-based workflows and shared state. The system is distinguished by its implementation of the Model Context Protocol, allowing for standardized resource discovery and communication between AI clients and servers. It further includes an AI-powered documentation generator designed to analyze source cod

    Maintains a shared global state across graph nodes to track conversation history and task progress for agents.

    Pythoncodinglarge-language-modellarge-language-models
    Ver en GitHub↗12,396
  • the-pocket/pocketflowAvatar de The-Pocket

    The-Pocket/PocketFlow

    10,046Ver en GitHub↗

    PocketFlow is a graph-based framework for designing and executing large language model operations and reasoning patterns. It serves as an orchestrator for building goal-oriented autonomous agents, multi-agent systems, and retrieval-augmented generation pipelines. The system is distinguished by its ability to coordinate autonomous AI agents that use shared memory and tools to solve complex goals, supported by a structured output engine that enforces schema-consistent responses. It utilizes graph-based workflow orchestration to manage sequences of model operations and supports supervisor-based

    Maintains a global data structure that allows all nodes to read and write to decouple schema from logic.

    Pythonagentic-aiagentic-frameworkagentic-workflow
    Ver en GitHub↗10,046
  • getstream/vision-agentsAvatar de GetStream

    GetStream/Vision-Agents

    6,029Ver en GitHub↗

    Shares session state across multiple servers via a shared key-value store for distributed agent management.

    Pythonagentic-aiagentsai
    Ver en GitHub↗6,029
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