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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
90

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

framework
230.5k
hermes-agent
ActivePython
90

Hermes-agent is a Python library that provides a framework for building and scaling AI agents, enabling developers to create agents that can grow and adapt over time.

framework
216.3k
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
185.6k
firecrawl
ActiveTypeScript
85

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

framework
152.3k
open-webui
ActivePython
85

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

framework
145.7k
langchain
ActivePython
90

LangChain is a Python library that provides tools and abstractions for building and orchestrating AI agents, enabling developers to integrate language models into applications.

framework
142.0k
cc-switch
ActiveRust
90

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

framework
118.3k
gemini-cli
ActiveTypeScript
90

An open-source AI agent that brings the power of Gemini directly into your terminal.

framework
106.0k
claude-mem
ActiveJavaScript
90

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

framework
87.6k

Recently updated

Active development · pushed in the last 30 days

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agi
Active
76

The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.

framework
2.0k
kestra
ActiveJava
90

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

framework
27.4k
adk-go
ActiveGo
82

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

framework
8.5k
mastra
ActiveTypeScript
90

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

framework
26.3k
hyperframes
ActiveTypeScript
90

Hyperframes is a TypeScript library that lets developers write HTML and render video content, designed to be used within agent-based applications.

framework
35.9k
OmniRoute
ActiveTypeScript
82

Never stop coding. Free AI gateway: one endpoint, 231+ providers (50+ free), connect Claude Code, Codex, Cursor, Cline & Copilot to FREE Claude/GPT/Gemini. RTK+Caveman stacked compression saves 15-95% tokens, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA.

framework
18.2k
oh-my-pi
ActiveTypeScript
82

⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

framework
18.2k
LocalAI
ActiveGo
90

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

framework
47.6k
vellum-assistant
ActiveTypeScript
70

An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time.

framework
894

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.

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