Best Multi-Agent Top 20

100+ AI Agent and RAG apps you can actually run — clone, customize, and ship. A great reference for quickly building LLM-powered applications.

TradingAgents is a multi-agent trading framework built with LangGraph that mirrors real-world trading firm dynamics with specialized LLM-powered agents for fundamental analysis, sentiment analysis, risk management, and more.

OpenHands is an open-source AI software engineering agent platform that can automatically execute development tasks, modify code, and support collaborative iteration.

The Multi-Agent Framework for building the first AI Software Company, enabling natural language programming with multi-role collaboration for automated requirement analysis, design, coding, and testing.

Microsoft AutoGen is a multi-agent conversation framework that lets you create multiple agents to collaborate through dialogue and solve complex tasks.

Generate short videos with one click using AI LLM. Multi-step automation workflow from script generation to video composition.

A multi-agent collaboration framework where AI agents form crews to accomplish complex tasks together. Role definition, task assignment, tool sharing, and process orchestration.

The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code/Codex integration.

CowAgent (formerly chatgpt-on-wechat) is a powerful AI assistant framework built on LLMs with autonomous planning, tool use, long-term memory, multi-agent collaboration, and multi-channel integration for WeChat, Feishu, DingTalk, and more.

An accessible multi-agent sentiment analysis assistant that breaks filter bubbles, reveals true public opinion, and predicts trends — built from scratch without external frameworks.

Intelligent automation and multi-agent orchestration for Claude Code. Supports automated workflows, task coordination, and intelligent agent system building.

Teams-first multi-agent orchestration for Claude Code. Designed for team collaboration with support for multi-agent coordination, task distribution, and result integration to enhance team AI development efficiency.

ChatDev 2.0 enables full-lifecycle software development through LLM-powered multi-agent collaboration, simulating role-based teamwork in a virtual software company.

A curated collection of 500 AI agent use cases across industries including healthcare, finance, education, and retail. Showcases practical applications with open-source project links.

A curated list of AI autonomous agents. A comprehensive collection of open-source agent projects for discovering and understanding the agent ecosystem.

A multi-agent LLM-powered Chinese financial trading framework, enhanced Chinese version of TradingAgents with multi-source market data, real-time news, and LLM decision-making.

Open-source multi-agent framework from Alibaba, enabling the construction of observable and interpretable agents with rich distributed capabilities.

A2A (Agent-to-Agent) Protocol is an open protocol by Google enabling interoperability and collaborative communication between AI agents built across different frameworks and vendors.

GenAI Agents is a comprehensive collection of 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

OpenAI Swarm is a lightweight multi-agent collaboration framework focused on simplicity and controllability, ideal for learning and prototyping.