Overview

AutoGen vs CrewAI: Multi-Agent Framework Comparison

Compare Microsoft AutoGen and CrewAI for multi-agent collaboration, conversational workflows, task orchestration, and developer experience.

Projects Compared

AutoGen

Python · CC-BY-4.0

57.9k ★

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

multi-agentconversationmicrosoftpython
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CrewAI

Python · MIT

51.2k ★

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

multi-agentcrewcollaborationorchestrationpython
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Feature Comparison

Best for AutoGenCrewAI
Collaboration model Based on multi-agent conversations and message passing; suitable for complex interactive collaboration Based on crews, roles, tasks, and processes; suitable for structured task division
Ecosystem Microsoft ecosystem with strong research and enterprise experimentation scenarios Independent open-source ecosystem iterating quickly around multi-agent application development
Best-fit tasks Complex tasks requiring multi-round discussion, code execution, or dynamic negotiation between agents Automated tasks and content/research workflows with clear processes and well-defined roles

GitHub Stats

Metric AutoGenCrewAI
Stars 57.9k51.2k
Forks 8.7k7.1k
Language PythonPython
License CC-BY-4.0MIT
Last commit April 15, 2026May 11, 2026

Which one should you choose?

Choose based on your primary workflow, language ecosystem, and integration needs. Review each project's documentation and recent GitHub activity before adopting it in production.