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AutoGen vs CrewAI

Side-by-side comparison with live GitHub signals. Last updated May 26, 2026.

A

AutoGen

Microsoft's framework for building multi-agent AI systems

OSSFree
58.4K5w ago445
C

CrewAI

Multi-agent orchestration framework for collaborative AI workflows

OSSFree
52.2Ktoday297
MetricAutoGenCrewAI
GitHub Stars58.4K52.2K
Contributors445297
Last CommitApr 15, 2026May 26, 2026
Open Issues859356
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Shared Tags

multi-agentpython

Only in AutoGen

microsoftconversationcode-executiongroup-chat

Only in CrewAI

orchestrationrolestaskscollaboration

About AutoGen

AutoGen is Microsoft's open-source framework for building multi-agent conversational systems where agents can converse with each other and with humans to solve complex tasks. Agents are highly customizable and can use LLMs, tools, and human input in flexible combinations. The framework supports group chats, nested conversations, and code execution sandboxes, making it well-suited for coding assistants, research automation, and enterprise agentic workflows. AutoGen Studio provides a no-code UI for prototyping agent systems visually.

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About CrewAI

CrewAI is a lean, fast multi-agent orchestration framework that lets you define autonomous AI agents with distinct roles, goals, and backstories, then assign them tasks within a structured crew. Agents collaborate, delegate, and pass context to each other using a role-playing paradigm that maps naturally to real team workflows. CrewAI supports sequential and hierarchical process flows, integrates with LangChain tools, and ships with a CLI for scaffolding new projects. It is the go-to framework for task-driven multi-agent systems without heavy infrastructure overhead.

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