awesome-agent-orchestration

provenance:github:vivy-yi/awesome-agent-orchestration

WHAT THIS AGENT DOES

This resource gathers together a wide range of tools and approaches for managing groups of artificial intelligence programs. It helps businesses solve complex problems that are too difficult for a single AI to handle, like automating intricate business processes or conducting extensive research. Business leaders, project managers, and anyone exploring how to use AI to improve efficiency could find this collection valuable. It’s useful because it acts as a central directory, showcasing different ways to organize and coordinate AI agents to achieve specific goals. What makes it distinctive is its comprehensive nature, covering various frameworks and communication methods within the emerging field of AI agent orchestration.

View Source ↗First seen 3mo agoNot yet hireable

README

# Awesome Agent Orchestration

<!--
  🎯 Search Keywords: ai agent, multi-agent, agent orchestration, swarm intelligence,
  llm agent, autonomous agent, agent framework, agentic ai, crewai, autogen,
  metagpt, langgraph, swarms, a2a protocol, mcp protocol, agent workflow,
  ai automation, multi-agent system, agent communication, ai agents

  🔥 GitHub Topics: ai-agent, multi-agent, agent-orchestration, swarm-intelligence,
  llm-agents, autogen, crewai, metagpt, langgraph, swarms, a2a-protocol, mcp
-->

[English](./README.md) | [中文](./README_zh.md)

[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
[![License: CC0](https://img.shields.io/badge/License-CC0-green.svg)](LICENSE)
[![GitHub Stars](https://img.shields.io/github/stars/vivy-yi/awesome-agent-orchestration)](https://github.com/vivy-yi/awesome-agent-orchestration/stargazers)
[![Contributions Welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)](CONTRIBUTING.md)

**The most comprehensive curated list of Agent Orchestration, Multi-Agent Systems, Swarm Intelligence, and LLM Agent frameworks.** Includes AutoGen, CrewAI, MetaGPT, LangGraph, Swarms, A2A Protocol, MCP Protocol and more.

⭐ **Star this repo if it helps you find AI Agent frameworks!**

## Table of Contents

- [Why Agent Orchestration?](#why-agent-orchestration)
- [Core Frameworks](#core-frameworks)
  - [Multi-Agent Orchestration Frameworks](#multi-agent-orchestration-frameworks)
  - [Swarm Intelligence Frameworks](#swarm-intelligence-frameworks)
  - [Graph-Based Workflow Frameworks](#graph-based-workflow-frameworks)
  - [Type-Safe & Modern Frameworks](#type-safe--modern-frameworks)
  - [TypeScript & Node.js Frameworks](#typescript--nodejs-frameworks)
  - [Go Frameworks](#go-frameworks)
  - [Swift, Ruby & Elixir Frameworks](#swift-ruby--elixir-frameworks)
  - [PHP & Java Frameworks](#php--java-frameworks)
- [Agent Communication Protocols](#agent-communication-protocols)
  - [Agent-to-Agent (A2A)](#agent-to-agent-a2a)
  - [Model Context Protocol (MCP)](#model-context-protocol-mcp)
- [Orchestration Patterns](#orchestration-patterns)
  - [Hierarchical](#hierarchical)
  - [Sequential](#sequential)
  - [Parallel/Concurrent](#parallelconcurrent)
  - [Mixture of Agents (MoA)](#mixture-of-agents-moa)
  - [Agent Council](#agent-council)
- [Communication & Coordination](#communication--coordination)
- [Research Papers](#research-papers)
- [Tools & Infrastructure](#tools--infrastructure)
- [Learning Resources](#learning-resources)
- [Related Awesome Lists](#related-awesome-lists)

---

## What is Agent Orchestration?

**Agent Orchestration** is the practice of coordinating multiple AI agents (LLM agents, autonomous agents) to work together on complex tasks. It enables:

- **Scalability**: Handle complex workflows by distributing tasks across specialized agents
- **Specialization**: Each agent can focus on a specific domain or task
- **Robustness**: Fault tolerance through agent redundancy and recovery
- **Emergent Capabilities**: Complex behaviors arising from simple agent interactions
- **Real-World Applications**: From software development to research automation

### Related Concepts

- **Multi-Agent System (MAS)**: A system composed of multiple interacting intelligent agents
- **Swarm Intelligence**: Collective behavior emerging from simple agent interactions
- **Agentic AI**: AI systems that can autonomously plan and execute complex tasks
- **Agent Communication Protocol**: Standards like A2A (Agent-to-Agent) and MCP (Model Context Protocol) for agent interoperability

---

## Core Frameworks

### Multi-Agent Orchestration Frameworks

| Project | Description | Stars |
|---------|-------------|-------|
| [AutoGen](https://github.com/microsoft/autogen) | Microsoft's framework for building multi-agent conversational systems | ![Stars](https://img.shields.io/github/stars/microsoft/autogen) |
| [CrewAI](https://github.com/crewAIInc/crewAI) | Role-based multi-agent framework for building AI teams | ![Stars](https://img.shields.io/github/stars/crewAIInc/crewAI) |
| [MetaGPT](https://github.com/geekan/MetaGPT) | Multi-agent framework for software development with role assignment | ![Stars](https://img.shields.io/github/stars/geekan/MetaGPT) |
| [agentUniverse](https://github.com/agentuniverse-ai/agentUniverse) | Enterprise-level multi-agent framework | ![Stars](https://img.shields.io/github/stars/agentuniverse-ai/agentUniverse) |
| [Langroid](https://github.com/langroid/langroid) | Multi-agent programming framework with message-passing | ![Stars](https://img.shields.io/github/stars/langroid/langroid) |
| [Phidata](https://github.com/agno-agi/phidata) | Multi-modal agent framework with built-in tools and UI | ![Stars](https://img.shields.io/github/stars/agno-agi/phidata) |
| [OpenAgents](https://github.com/OpenAgentsInc/openagents) | Open platform for deploying language agents | ![Stars](https://img.shields.io/github/stars/OpenAgentsInc/openagents) |
| [AgentVerse](https://github.com/OpenBML/AgentVerse) | Platform for running multiple LLM agents in simulated environments | ![Stars](https://img.shields.io/github/stars/OpenBML/AgentVerse) |
| [agency-swarm](https://github.com/VRSEN/agency-swarm) | Reliable multi-agent orchestration framework | ![Stars](https://img.shields.io/github/stars/VRSEN/agency-swarm) |
| [OpenAI Swarm](https://github.com/openai/swarm) | Educational lightweight multi-agent orchestration framework | ![Stars](https://img.shields.io/github/stars/openai/swarm) |
| [Microsoft Agent Framework](https://github.com/microsoft/agent-framework) | Framework for building, orchestrating and deploying AI agents | ![Stars](https://img.shields.io/github/stars/microsoft/agent-framework) |
| [OpenAI Agents Python](https://github.com/openai/openai-agents-python) | Lightweight powerful framework for multi-agent workflows | ![Stars](https://img.shields.io/github/stars/openai/openai-agents-python) |
| [Haystack](https://github.com/deepset-ai/haystack) | Open-source AI orchestration for context-engineered LLM applications | ![Stars](https://img.shields.io/github/stars/deepset-ai/haystack) |
| [LLMStack](https://github.com/trypromptly/LLMStack) | No-code multi-agent framework for LLM agents and workflows | ![Stars](https://img.shields.io/github/stars/trypromptly/LLMStack) |
| [LazyLLM](https://github.com/LazyAGI/LazyLLM) | Easiest way for building multi-agent LLM applications | ![Stars](https://img.shields.io/github/stars/LazyAGI/LazyLLM) |
| [MindSearch](https://github.com/InternLM/MindSearch) | LLM-based multi-agent framework for web search engine | ![Stars](https://img.shields.io/github/stars/InternLM/MindSearch) |
| [TradingAgents](https://github.com/TauricResearch/TradingAgents) | Multi-agent LLM financial trading framework | ![Stars](https://img.shields.io/github/stars/TauricResearch/TradingAgents) |
| [Shannon](https://github.com/Kocoro-lab/Shannon) | Production-oriented multi-agent orchestration framework | ![Stars](https://img.shields.io/github/stars/Kocoro-lab/Shannon) |
| [Solace Agent Mesh](https://github.com/SolaceLabs/solace-agent-mesh) | Event-driven framework for multi-agent AI systems | ![Stars](https://img.shields.io/github/stars/SolaceLabs/solace-agent-mesh) |
| [Pipelex](https://github.com/Pipelex/pipelex) | Declarative language for composable AI workflows | ![Stars](https://img.shields.io/github/stars/Pipelex/pipelex) |
| [CodeFuse-muAgent](https://github.com/codefuse-ai/CodeFuse-muAgent) | Innovative agent framework driven by KG Engine | ![Stars](https://img.shields.io/github/stars/codefuse-ai/CodeFuse-muAgent) |
| [L2MAC](https://github.com/samholt/L2MAC) | LLM Automatic Computer Framework | ![Stars](https://img.shields.io/github/stars/samholt/L2MAC) |
| [Patchwork](https://github.com/patched-codes/patchwork) | Agentic AI framework for enterprise workflow automation | ![Stars](https://img.shields.io/github/stars/patched-codes/patchwork) |

### Swarm Intelligence Frameworks

| Project | Description 

[truncated…]

PUBLIC HISTORY

First discoveredMar 21, 2026

IDENTITY

inferred

Identity inferred from code signals. No PROVENANCE.yml found.

Is this yours? Claim it →

METADATA

platformgithub

first seenMar 5, 2026

last updatedMar 20, 2026

last crawled1 day ago

version—

README BADGE

Add to your README:

![Provenance](https://getprovenance.dev/api/badge?id=provenance:github:vivy-yi/awesome-agent-orchestration)