CrewAI
Also known as: Crew AI, crewai framework
CrewAI organizes agents the way a manager thinks about a team. You define each agent's role (researcher, writer, reviewer), give it a goal and a backstory that shapes its behavior, assign it tools it can use, and then define tasks. The framework handles the sequencing and communication between agents. Getting a two-agent workflow running takes less than an hour for someone new to it.
The framework is built entirely from scratch, without dependencies on LangChain or other agent libraries. That makes it faster and easier to reason about. In 2025, CrewAI added Flows, an event-driven execution mode for more predictable, production-grade workloads where you need precise control over how the pipeline runs.
CrewAI sits at the rapid-prototyping end of the agent framework spectrum. It's the right choice when you want to get a multi-agent concept working quickly and the role-based mental model fits your use case. For complex state management, conditional branching, or long-running workflows that need detailed logging, most teams eventually reach for LangGraph.