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Control Flow & Workflows · Awesome GitHub Repositories

4 repos

Awesome GitHub RepositoriesControl Flow & Workflows

Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Control Flow & Workflows. Refine with filters or upvote what's useful.

  1. Home
  2. Artificial Intelligence & ML
  3. Agentic Systems Frameworks
  4. Orchestration and Multi-Agent Systems
  5. Control Flow & Workflows

Awesome Control Flow & Workflows GitHub Repositories

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  • openclaw/openclaw

    openclaw/openclaw

    211,971GitHubView on GitHub↗

    Openclaw is a platform for managing agent execution environments, providing the infrastructure to control agent lifecycles, session state, and workspace persistence. It features a centralized gateway that handles model loops, tool invocation, and streaming events, while supporting multi-agent routing and persistent mem

    TypeScriptaiassistantcrustacean
  • langchain-ai/langchain

    langchain-ai/langchain

    127,015GitHubView on GitHub↗

    LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows t

    Pythonagentsaiai-agents
  • x1xhlol/system-prompts-and-models-of-ai-tools

    x1xhlol/system-prompts-and-models-of-ai-tools

    115,232GitHubView on GitHub↗

    This project is a community-driven knowledgebase and registry for AI agent configurations. It serves as a centralized repository for system prompts, environment settings, and integration strategies designed to standardize the behavior of various AI-assisted development tools. By capturing these configurations in a stru

    aiboltcluely
  • microsoft/autogen

    microsoft/autogen

    54,656GitHubView on GitHub↗

    This framework provides a development environment for building collaborative systems where autonomous agents interact to solve complex tasks through conversational workflows. It functions as a conversational workflow engine and event-driven runtime, coordinating multi-step processes by translating high-level goals into

    Pythonagenticagentic-agiagents

Explore sub-tags

  • AI Workflow Management1 sub-tagTools for capturing, versioning, and replicating successful prompt engineering patterns and AI operational workflows.
  • AI Workflow Orchestration FormatsStructured formats for defining multi-agent sessions, parallelism, and execution logic.
  • Execution InterruptsMechanisms to pause and resume agent workflows based on runtime events.
Graph-Based State Orchestrations
Workflow modeling using directed graphs for state transitions.
  • Human-in-the-loop Workflows2 sub-tagsMechanisms for pausing agent execution to allow human review, modification, or approval of actions.