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3 रिपॉजिटरी

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

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • the-pocket/pocketflow-tutorial-codebase-knowledgeThe-Pocket का अवतार

    The-Pocket/PocketFlow-Tutorial-Codebase-Knowledge

    12,396GitHub पर देखें↗

    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
    GitHub पर देखें↗12,396
  • the-pocket/pocketflowThe-Pocket का अवतार

    The-Pocket/PocketFlow

    10,046GitHub पर देखें↗

    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
    GitHub पर देखें↗10,046
  • getstream/vision-agentsGetStream का अवतार

    GetStream/Vision-Agents

    6,029GitHub पर देखें↗

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

    Pythonagentic-aiagentsai
    GitHub पर देखें↗6,029
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  2. Data & Databases
  3. Shared Memory Data Exchange
  4. Reactive Data Sharing
  5. Cross-Node State Sharing