head to head · open source

crewAI vs Agno

crewAI has 60,469 GitHub stars, 9,025 forks, 353 open issues and last shipped yesterday. Agno has 43,052 stars, 6,241 forks, 1,419 open issues and last shipped today. crewAI leads on adoption by 40% (60,469 vs 43,052 stars). crewAI is written in Python under MIT; Agno is written in Python under Apache-2.0. crewAI has attracted 15% as many forks as stars, Agno 14%. Agno was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agents, ai, ai-agents), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

crewAI ★ 60K Agno ★ 43K category AI & Machine Learning

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Side by side

crewAI Agno
GitHub stars ★ 60K ★ 43K
License MIT Apache-2.0
Written in Python Python
Last push 2026-11-03 2026-11-04
Forks ⑂ 9.0K ⑂ 6.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick crewAI if

  • You weight community size — 60K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full crewAI profile →

pick Agno if

  • You want the Agno feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and Agno fits your workflow better

full Agno profile →

About crewAI

Homepage · Open Source · Docs · Start Cloud Trial · Blog · Forum Fast and Flexible Multi Agent Automation Framework CrewAI is an open source Python framework with high level abstractions and low level APIs for building production ready multi agent workflows. It gives developers autonomous agent collaboration through Crews and precise, event driven control through Flows. CrewAI Crews : Optimize for autonomy and collaborative intelligence with role based AI agents. CrewAI Flows : Build event driven automations that combine precise workflow control, single LLM calls, and native support for Crews. With over 100,000…

read the full crewAI overview →

About Agno

Build, run, and manage agent platforms. Introduction Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI. Build your agent platform using the Agno SDK. Run your agent platform using the AgentOS runtime. Manage everything using the AgentOS UI. Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT based RBAC), and turn your agent platform into a learning loop with simulations and usage data. Get started Hand this prompt to your coding agent (Claude Code, Cursor, Codex): Your coding agent…

read the full Agno overview →

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Frequently asked questions

Is crewAI or Agno more popular?

crewAI has 60,469 GitHub stars and Agno has 43,052. crewAI has the larger community by that measure.

Are crewAI and Agno free?

Both are open source. crewAI is licensed under MIT and Agno under Apache-2.0. Neither carries a licence fee.

What is the difference between crewAI and Agno?

crewAI is written in Python and Agno in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, crewAI or Agno?

Choose crewAI if you want the larger community (60,469 stars) or its MIT licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.