Awesome Agent Orchestration
English | 中文
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
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 |
Microsoft's framework for building multi-agent conversational systems |
 |
| CrewAI |
Role-based multi-agent framework for building AI teams |
 |
| MetaGPT |
Multi-agent framework for software development with role assignment |
 |
| agentUniverse |
Enterprise-level multi-agent framework |
 |
| Langroid |
Multi-agent programming framework with message-passing |
 |
| Phidata |
Multi-modal agent framework with built-in tools and UI |
 |
| OpenAgents |
Open platform for deploying language agents |
 |
| AgentVerse |
Platform for running multiple LLM agents in simulated environments |
 |
| agency-swarm |
Reliable multi-agent orchestration framework |
 |
| OpenAI Swarm |
Educational lightweight multi-agent orchestration framework |
 |
| Microsoft Agent Framework |
Framework for building, orchestrating and deploying AI agents |
 |
| OpenAI Agents Python |
Lightweight powerful framework for multi-agent workflows |
 |
| Haystack |
Open-source AI orchestration for context-engineered LLM applications |
 |
| LLMStack |
No-code multi-agent framework for LLM agents and workflows |
 |
| LazyLLM |
Easiest way for building multi-agent LLM applications |
 |
| MindSearch |
LLM-based multi-agent framework for web search engine |
 |
| TradingAgents |
Multi-agent LLM financial trading framework |
 |
| Shannon |
Production-oriented multi-agent orchestration framework |
 |
| Solace Agent Mesh |
Event-driven framework for multi-agent AI systems |
 |
| Pipelex |
Declarative language for composable AI workflows |
 |
| CodeFuse-muAgent |
Innovative agent framework driven by KG Engine |
 |
| L2MAC |
LLM Automatic Computer Framework |
 |
| Patchwork |
Agentic AI framework for enterprise workflow automation |
 |
Swarm Intelligence Frameworks
| Project |
Description |
Stars |
| Swarms |
Production-grade multi-agent infrastructure platform |
 |
| Swarm |
Lightweight multi-agent orchestration framework |
 |
| Swarm-Tools |
Tool for coordinating AI agents with learning capabilities |
 |
| Ruflo |
Leading agent orchestration platform for Claude |
 |
| swarms-rs |
Enterprise-grade multi-agent orchestration in Rust |
 |
| Lux |
Open-source framework for multi-agent swarmed intelligence |
 |
| AutoRT |
Embodied foundation models for robotic agents |
 |
Graph-Based Workflow Frameworks
| Project |
Description |
Stars |
| LangGraph |
Build stateful multi-agent applications with LangChain |
 |
| LangChain |
Modular framework for LLM application chaining |
 |
| LlamaIndex |
Data-centric agent framework for RAG |
 |
| Semantic Kernel |
Microsoft orchestration SDK for .NET/Python |
 |
Lightweight & Specialized Agents
| Project |
Description |
Stars |
| SmolAgents |
Minimalist library for code-writing agents |
 |
| Auto-GPT |
Pioneering autonomous agent with self-prompting |
 |
| BabyAGI |
Simple autonomous task management |
 |
| GPT-Engineer |
Agent for generating full projects from specs |
 |
| BMTools |
Tool/API registry for agents |
 |
Type-Safe & Modern Frameworks
| Project |
Description |
Stars |
| PydanticAI |
Type-safe agent framework using Pydantic models |
 |
| DeepAgents |
Production-grade autonomous agents on PydanticAI |
 |
| Subagents |
Subagent delegation framework for PydanticAI |
 |
| Flux0 |
Multi-agent deployment framework with session management |
 |
| Mamba Agents |
Simple extensible AI Agent framework |
 |
TypeScript & Node.js Frameworks
| Project |
Description |
Stars |
| openai-swarm-node |
Node.js implementation of OpenAI's Swarm framework |
 |
| Network-AI |
TypeScript/Node multi-agent orchestrator with shared state |
 |
| megazord |
Claude Code framework for multi-agent coordination |
 |
| Voltmachines |
Multi-agent framework built on VoltAgent |
 |
| agent-swarm-kit |
TypeScript library for framework-agnostic multi-agent systems |
 |
| ai-orchestra |
Lightweight orchestration for AI Agents around Vercel's streamText |
 |
Go Frameworks
| Project |
Description |
Stars |
| openai-agents-go |
Lightweight powerful framework for multi-agent workflows in Go |
 |
| swarm-go |
Ergonomic lightweight multi-agent orchestration in Go |
 |
| rs-graph-llm |
High-performance framework for interactive multi-agent workflows in Rust |
 |
Swift, Ruby & Elixir Frameworks
| Project |
Description |
Stars |
| SwiftSwarm |
Swift framework for lightweight multi-agent orchestration |
 |
| Swarm |
Lightweight agent orchestration framework in Swift |
 |
| ruby-openai-swarm |
Ruby-based framework for multi-agent orchestration |
 |
| swarm_ex |
Elixir library for lightweight AI agent orchestration |
 |
| shifts |
Elixir framework for composing autonomous AI agent workflows |
 |
PHP & Java Frameworks
| Project |
Description |
Stars |
| neuron-ai |
PHP agentic framework for production-ready AI applications |
 |
| swarm-ai |
Java multi-agent orchestration with Spring AI |
 |
Workflow & Pipeline Frameworks
| Project |
Description |
Stars |
| circuit |
Drag-and-drop agent workflow builder |
 |
| routilux |
Event-driven workflow orchestration for Python |
 |
| CraftFlow |
Workflow orchestration for RAG and multi-agent collaborations |
 |
| sentinels |
Laravel package for agent-based task orchestration |
 |
| titan-orchestrator |
Distributed orchestrator bridging DevOps and Agentic AI |
 |
Agent Communication Protocols
Agent-to-Agent (A2A)
Google's A2A protocol enables secure, interoperable communication between autonomous agents across frameworks and vendors.
| Project |
Description |
Stars |
| awesome-a2a-agents |
Curated list of A2A tools and frameworks |
 |
| python-a2a |
Python implementation of A2A protocol |
 |
| a2a-net |
.NET implementation of A2A protocol |
 |
| a2a-langgraph |
A2A protocol built on LangGraph |
 |
| nestjs-a2a |
NestJS library for A2A protocol |
 |
| a2a4j |
Java implementation of A2A protocol |
 |
| A2A-MCP-Server |
Bridge between MCP and A2A protocols |
 |
| a2a-x402 |
A2A protocol with cryptocurrency payments |
 |
| Routa |
Multi-agent coordination platform via MCP/A2A |
 |
| mangaba_ai |
Minimalist AI agents with A2A and MCP |
 |
Model Context Protocol (MCP)
An open protocol that enables seamless connection between AI models and external tools/data sources. MCP is becoming the standard for tool-augmented LLM applications.
Official Resources
Database & Vector Stores
Browser & Automation
Development & Tools
Specialized Servers
Orchestration Patterns
Hierarchical
In hierarchical orchestration, a supervisor agent delegates tasks to specialized sub-agents. This pattern is suitable for complex tasks requiring domain expertise.
- Use Cases: Software development teams, research automation, enterprise workflows
- Frameworks: AutoGen, CrewAI, LangGraph
Sequential
Sequential workflows process tasks through a pipeline where each agent completes its step before passing to the next.
- Use Cases: Document processing, data transformation pipelines
- Frameworks: LangChain, LangGraph
Parallel/Concurrent
Multiple agents work simultaneously on independent subtasks, with results aggregated afterward.
- Use Cases: Research gathering, parallel code generation
- Frameworks: Swarms, AutoGen
Mixture of Agents (MoA)
Multiple expert agents contribute their perspectives, with outputs combined through iterative refinement.
Agent Council
Multiple agents discuss and debate to reach consensus on decisions.
- Use Cases: Decision making, complex analysis, creative writing
- Framework: AutoGen GroupChat
Communication & Coordination
Message Passing
- Langroid: Message-passing based multi-agent framework
- AutoGen: Conversational message passing
Shared State / BlackBoard Systems
- Swarm Matcher: Agent matching and selection
- Message Pool: Shared communication system
Task Distribution
- Auto Swarm: Self-organizing swarm with automatic task distribution
- Agent Delegation: Task delegation and management
Research Papers
Multi-Agent Collaboration
Orchestration & Planning
Memory & Long-Term Autonomy
Evaluation
Tools & Infrastructure
Observability & Tracing
| Tool |
Description |
| Langfuse |
Open-source LLM engineering platform |
| Phoenix |
Open-source LLM tracing |
| Opik |
Open-source LLM evaluation |
| Agenta |
LLMOps platform for prototyping |
| Logfire |
Pydantic's open-source observability tool |
| Langtrace |
Open-source observability for AI agents |
| Okahu Monocle |
Tracing framework by Linux Foundation |
Memory & Knowledge
| Tool |
Description |
| Memori |
SQL Native Memory Layer for LLMs & Agents |
| Letta |
Memory layer for AI agents |
Deployment & Infrastructure
Evaluation & Benchmarking
| Tool |
Description |
| AgentBench |
Evaluates agents across diverse environments |
| swarms-evals |
Evaluation framework for swarm systems |
| RAGAS |
Evaluation framework for RAG systems |
Learning Resources
Tutorials & Guides
Documentation
Related Awesome Lists
Contributing
Contributions are welcome! Please read the contributing guidelines first.
- Fork the repository
- Add your resource in the appropriate section
- Ensure consistent formatting
- Submit a pull request
SEO Keywords
Popular search terms: AI Agent Framework, Multi-Agent System, Agent Orchestration, Swarm Intelligence, LLM Agent, Claude AI, OpenAI Agents, CrewAI, AutoGen, MetaGPT, LangGraph, Agent Communication Protocol, A2A Protocol, MCP Protocol, Agentic AI, Autonomous Agents, Agent Workflow, AI Automation
Popular Frameworks
- AutoGen - Microsoft's multi-agent framework
- CrewAI - Role-based multi-agent framework
- MetaGPT - Software development multi-agent framework
- LangGraph - State-based agent workflow
- Swarms - Production-grade multi-agent platform
Popular Protocols
License
To the extent possible under law, Your Name has waived all copyright and related rights to this work.
Star this repository if you find it useful!
0e55297929
