CrewAI
Role-based multi-agent framework where each agent has a natural-language role, goal, and backstory, and a Crew orchestrates them on tasks.
Last updated: April 26, 2026
Definition
CrewAI takes a different design philosophy from LangGraph: instead of explicit graphs, you define agents in natural language (role, goal, backstory) and assign them tasks. The Crew object handles orchestration, with agents collaborating either sequentially or hierarchically. The framework is opinionated and quick to prototype with, which is why it has been popular for content workflows (researcher + writer + editor crews) and business automation. Trade-off: less control than LangGraph, more vibes than rigor. Open source under MIT, with a paid CrewAI+ tier for enterprise features.
When To Use
Use CrewAI for fast prototyping of multi-agent workflows where the roles map naturally to humans. Pick LangGraph or roll your own when you need explicit control over state and branching.
Related Terms
Building with CrewAI?
I've shipped this pattern in real production systems. If you want a second pair of eyes on your architecture, that's what I do.