Python framework for teams of role-playing AI agents with defined tasks
CrewAI is a Python framework that models multi-agent work as a crew: each agent has a role, a goal and a backstory, and each task has a description and an expected output. You assemble them into a process - sequential or hierarchical - and the framework handles delegation, context passing and execution. It sits at a higher level of abstraction than general orchestration libraries, which makes a working prototype quick to write, and it supports tools, memory and model choice across providers. It also ships enterprise features for teams running crews outside a notebook.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
developers, research automation, content pipelines and internal agent prototypes
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CrewAI works at a higher level, describing agents and tasks and letting the framework decide the flow. LangGraph gives explicit graph control, which is better when you need precise branching and state handling.
No. It works with common hosted providers and local models, so you can trade cost against quality per agent depending on the task each one performs.
Yes, with care. Token spend, retries and error handling need attention, which is the point of the enterprise offering - it adds deployment and monitoring around the same core ideas.
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