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Orchestrate networks of AI agents

Multi-agent frameworks let you wire multiple LLM-powered agents into pipelines, graphs, or crews — each with its own role, memory, and tools. They are the backbone of production agentic systems.

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Top Multi-Agent Frameworks

Ranked by GitHub stars

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ECC
ActiveJavaScript
95

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

frameworkOpen Source
265.7k
hermes-agent
ActivePython
95

Hermes-agent is a Python framework that provides building blocks for creating autonomous agents that can adapt and grow with user interactions.

frameworkOpen Source
248.2k
deepseek-harness
ActiveTypeScript
90

DeepSeek Harness: Everything is a Plugin.

frameworkOpen Source
233.9k
AutoGPT
ActivePython
90

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

framework
187.5k
firecrawl
ActiveTypeScript
85

The web data API to search, scrape, and interact at scale. 🔥

framework
183.5k
open-webui
ActivePython
85

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

framework
152.9k
langchain
ActivePython
90

The agent engineering platform.

frameworkOpen Source
146.9k
ponytail
ActiveJavaScript
88

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

frameworkOpen Source
144.6k
cc-switch
ActiveRust
95

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io

frameworkOpen Source
135.1k

Recently updated

Active development · pushed in the last 30 days

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helix
ActiveGo
70

♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models on a full private AI Stack ♾️

framework
809
mastra
ActiveTypeScript
90

Mastra is the modern TypeScript framework for AI-powered applications and agents.

framework
28.3k
nanobot
ActivePython
95

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

frameworkOpen Source
48.5k
adk-go
ActiveGo
87

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

frameworkOpen Source
8.8k
oh-my-openagent
ActiveTypeScript
90

OmO is a coding agent orchestration tool with multiple model support, memory and coordinated agent workflows.

framework
69.3k
SkillSpector
ActivePython
87

Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.

frameworkOpen Source
18.1k
haystack
ActivePython
95

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

frameworkOpen Source
26.6k
OpenMetadata
ActiveTypeScript
87

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

frameworkOpen Source
15.3k
lobehub
ActiveTypeScript
90

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

framework
82.8k

Production-ready picks

OSI-approved license · actively maintained

E
ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
OSI ✓MIT
H
hermes-agent
Hermes-agent is a Python framework that provides building blocks for creating autonomous agents that can adapt and grow with user interactions.
OSI ✓MIT
D
deepseek-harness
DeepSeek Harness: Everything is a Plugin.
OSI ✓MIT

Frequently asked questions about Multi-Agent Frameworks

What is a multi-agent framework?+
A multi-agent framework provides primitives for defining, composing, and running multiple LLM-powered agents that collaborate to solve complex tasks. Examples include LangGraph, CrewAI, AutoGen, and Smolagents.
What is the best multi-agent framework in 2025?+
LangGraph leads production deployments (18k+ stars, used by Replit and LinkedIn). CrewAI is the fastest path to a working crew of agents. AutoGen is best for research and human-in-the-loop scenarios.
LangGraph vs CrewAI — which should I use?+
LangGraph offers fine-grained control via a state machine graph — ideal for production workflows with complex branching. CrewAI is higher-level and faster to prototype with, but less flexible for edge cases.
Can I use multi-agent frameworks without LangChain?+
Yes. AutoGen, Smolagents, and OpenAI Agents SDK are framework-agnostic. LangGraph can also run standalone without the rest of the LangChain ecosystem.

Explore related categories

💻Coding Agents📚RAG & Retrieval📊LLM Observability