CrewAI is an open source Python framework for building systems where multiple AI agents work together as a coordinated crew. Each agent is given a role, a goal, and a set of tools, and the framework manages how they collaborate, delegate, and pass information to complete a larger task. It supports sequential and hierarchical processes, letting developers define how work flows between agents. Alongside the open source library, CrewAI offers a hosted platform for deploying, monitoring, and scaling agent workflows in production.
The framework is designed for developers and technical teams who want structured multi agent orchestration rather than a single prompt driven assistant. It fits engineers building research assistants, content pipelines, data analysis flows, and other tasks that benefit from splitting work across specialized agents. Because it is code first, it appeals to teams comfortable writing Python and integrating custom tools and APIs. The managed platform extends its reach to teams that need deployment, observability, and collaboration features without building that infrastructure themselves.
In use, developers define agents and tasks in code, connect them to tools and models, and run crews that reason step by step toward a goal. Agents can call functions, search sources, and hand off subtasks. The platform then tracks executions and helps refine agent behavior.
