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Multi-Agent Orchestration Systems · Awesome GitHub Repositories

5 repos

Awesome GitHub RepositoriesMulti-Agent Orchestration Systems

Systems that coordinate multiple autonomous agents to collaborate on complex tasks and long-horizon objectives.

Explore 5 awesome GitHub repositories matching artificial intelligence & ml · Multi-Agent Orchestration Systems. Refine with filters or upvote what's useful.

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Awesome Multi-Agent Orchestration Systems GitHub Repositories

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  • mlabonne/llm-course

    mlabonne/llm-course

    75,340GitHubView on GitHub↗

    This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as we

    Facilitates autonomous task execution by teaching models to reason about environments and invoke external APIs.

    courselarge-language-modelsllm
  • lobehub/lobehub

    lobehub/lobehub

    72,403GitHubView on GitHub↗

    LobeHub is a comprehensive multi-agent orchestration platform designed for building, configuring, and deploying specialized AI agents. It provides a unified chat-based gateway that allows users to manage autonomous agent teams across web, desktop, and mobile environments. By utilizing a framework that supports persiste

    Coordinates autonomous agents to work in concert on complex, long-horizon objectives and organizational tasks.

    TypeScriptagentagent-collaborationagent-harness
  • openai/openai-cookbook

    openai/openai-cookbook

    71,532GitHubView on GitHub↗

    This project is a technical learning resource and developer knowledge base focused on the integration of large language models into software applications. It provides a structured collection of guides and code examples designed to teach developers how to implement intelligent features using proven patterns and best pra

    Implements architectural strategies like retrieval-augmented generation to connect language models with external data sources.

    Jupyter Notebookchatgptgpt-4openai
  • dair-ai/Prompt-Engineering-Guide

    dair-ai/Prompt-Engineering-Guide

    70,526GitHubView on GitHub↗

    This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task

    Combines retrieval-augmented generation with autonomous reasoning to enhance agentic tool use.

    MDXagentagentsai-agents
  • 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

    Delegates work and shares information to synchronize multiple agents working toward long-horizon objectives.

    Pythonagenticagentic-agiagents

Explore sub-tags

  • Agentic Planning PatternsDesign methodologies for implementing multi-step reasoning and task decomposition in autonomous agent systems.
  • Agentic Retrieval Augmented GenerationSystems that combine retrieval-augmented generation with autonomous agent reasoning and tool use.
  • LLM Integration PatternsArchitectural strategies for connecting large language models with external data sources and tools.
  • LLM Routing Patterns
Mechanisms for classifying incoming queries and directing them to specialized agents or processing chains.