--- title: "crewAI vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/crewaiinc-crewai-vs-microsoft-autogen" tools: ["crewaiinc-crewai", "microsoft-autogen"] --- # crewAI vs autogen Neutral, constraint-first comparison with live GitHub stats. | | [crewAI](/tools/crewaiinc-crewai.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | Fast and Flexible Multi-Agent Automation Framework | A framework for creating multi-agent AI applications | | Stars | 55,132 | 59,573 | | Forks | 7,752 | 8,967 | | Open issues | 617 | 930 | | Language | Python | Python | | Adopt for | CrewAI is an open-source Python framework used to orchestrate autonomous AI agents, enabling them to collaborate effectively on complex tasks. Users can leverage high-level abstractions and low-level APIs for development | AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC-BY-4.0 | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [crewAI](/tools/crewaiinc-crewai.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 83d | | Open issues (now) | 617 | 930 | | Full report | [trust report](/tools/crewaiinc-crewai/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | **Typed relationship:** crewAI _(alternative)_ autogen Autogen is also a framework for creating multi-agent AI applications, making it an alternative to CrewAI in orchestrating agent interactions. ## Shared compatibility - **Python**: [crewAI](/tools/crewaiinc-crewai.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## Decision facts: crewAI - **Adopt for:** CrewAI is an open-source Python framework used to orchestrate autonomous AI agents, enabling them to collaborate effectively on complex tasks. Users can leverage high-level abstractions and low-level APIs for development ## Decision facts: autogen - **Requirements:** AutoGen requires Python 3.10 or later. - **Adopt for:** AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate. ## Choose when ### Choose crewAI if… - License: crewAI is MIT, autogen is CC-BY-4.0. - Autogen is also a framework for creating multi-agent AI applications, making it an alternative to CrewAI in orchestrating agent interactions. - Tags unique to crewAI: llms, aiagentframework, ai-agents. - - Use CrewAI when you need a flexible, production-ready solution to develop multi-agent workflows that emphasize collaborative intelligence and autonomy. ### Choose autogen if… - License: autogen is CC-BY-4.0, crewAI is MIT. - Requirements: AutoGen requires Python 3.10 or later.. - Autogen is also a framework for creating multi-agent AI applications, making it an alternative to CrewAI in orchestrating agent interactions. - Tags unique to autogen: autogen, ai, agentic, framework. - Also covers LLM Frameworks. - You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities. ## When NOT to use crewAI - - Avoid using CrewAI if you require immediate support for a proprietary language or framework not natively supported by the Python ecosystem. - - Do not use CrewAI when your project strictly demands a closed-source solution and lacks tolerance for open-source licensing. ## When NOT to use autogen - Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. - Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode. ## Common questions ### What is the difference between crewAI and autogen? crewAI: Fast and Flexible Multi-Agent Automation Framework. autogen: A framework for creating multi-agent AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose crewAI over autogen? Choose crewAI over autogen when License: crewAI is MIT, autogen is CC-BY-4.0; Autogen is also a framework for creating multi-agent AI applications, making it an alternative to CrewAI in orchestrating agent interactions; Tags unique to crewAI: llms, aiagentframework, ai-agents; - Use CrewAI when you need a flexible, production-ready solution to develop multi-agent workflows that emphasize collaborative intelligence and autonomy. ### When should I choose autogen over crewAI? Choose autogen over crewAI when License: autogen is CC-BY-4.0, crewAI is MIT; Requirements: AutoGen requires Python 3.10 or later.; Autogen is also a framework for creating multi-agent AI applications, making it an alternative to CrewAI in orchestrating agent interactions; Tags unique to autogen: autogen, ai, agentic, framework; Also covers LLM Frameworks; You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities. ### When should I avoid crewAI? - Avoid using CrewAI if you require immediate support for a proprietary language or framework not natively supported by the Python ecosystem. - Do not use CrewAI when your project strictly demands a closed-source solution and lacks tolerance for open-source licensing. ### When should I avoid autogen? Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode. ### Is crewAI or autogen more popular on GitHub? autogen has more GitHub stars (59,573 vs 55,132). Stars measure visibility, not whether either tool fits your constraints. ### Are crewAI and autogen open source? Yes - both are open-source projects on GitHub (crewAI: MIT, autogen: CC-BY-4.0). ### Where can I find alternatives to crewAI or autogen? GraphCanon lists graph-backed alternatives at /tools/crewaiinc-crewai/alternatives and /tools/microsoft-autogen/alternatives (/tools/crewaiinc-crewai/alternatives.md, /tools/microsoft-autogen/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/crewaiinc-crewai-vs-microsoft-autogen.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, crewAI or autogen? crewAI: Very active. autogen: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for crewAI and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: crewAI: /tools/crewaiinc-crewai/trust; autogen: /tools/microsoft-autogen/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=crewaiinc-crewai`](/api/graphcanon/graph?tool=crewaiinc-crewai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_