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CrewAI

A Python framework for orchestrating role-playing AI agents as collaborating 'crews', plus event-driven flows.

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Updated Jun 3, 2026
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CrewAI orchestrates multiple agents as a 'crew' with roles, goals, and tasks — a high-level, fast-to-start abstraction for collaborative multi-agent work. It also offers Flows for event-driven, more deterministic control when you need it. Standalone and independent of LangChain.

CrewAI is a Python framework for building multi-agent systems around an intuitive metaphor: a crew of agents, each with a role, a goal, and a backstory, working through tasks toward a shared objective. That high-level abstraction makes it one of the fastest ways to stand up collaborative multi-agent workflows — you describe who does what, and CrewAI handles the coordination.

It is aimed at developers who want role-based multi-agent orchestration without wiring a state graph by hand. For cases that need tighter, event-driven control, CrewAI also provides Flows, a more deterministic execution model you can combine with crews.

Highlights

  • Roles, tasks, crews — define agents by role and goal, assign tasks, and let the crew collaborate (sequential or hierarchical processes).
  • Flows — event-driven orchestration for deterministic, branching control when autonomy isn't what you want.
  • Tools & integrations — give agents tools (search, code, custom functions) and connect external systems.
  • Standalone — built independently of LangChain, with its own lean core.
  • Memory & delegation — agents can retain context and delegate subtasks to one another.

In an AI-assisted workflow

from crewai import Agent, Task, Crew
 
researcher = Agent(role="Researcher", goal="Find sources", backstory="...")
writer = Agent(role="Writer", goal="Draft the brief", backstory="...")
crew = Crew(agents=[researcher, writer], tasks=[research_task, write_task])
crew.kickoff()

TIP

CrewAI is great for getting a collaborative multi-agent prototype running fast. If you later need explicit state, checkpointing, and resumability, compare LangGraph — and use Flows when you want determinism over agent autonomy.

Good to know

CrewAI is open source (MIT) and free to self-host; a commercial enterprise platform adds hosted deployment, monitoring, and management. You bring your own model provider. See Which Agent Framework in 2026? for where it fits versus the alternatives.

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