CrewAI
In one line
CrewAI is a multi-agent framework that lets you stand up role-based agents that work as a team, with role, goal and task defined declaratively.
Going deeper
CrewAI specialises in role-based multi-agent setups — Researcher, Analyst, Copywriter — and the orchestration that lets them work together. You declare role, goal, backstory and task, and CrewAI handles the message passing and final result assembly.
Its real selling point is the low ramp-up. A 'one agent researches, another verifies, a third summarises' workflow that would be awkward to build as a single agent often comes together in 100 to 200 lines, which makes it popular for internal automation and marketing content pipelines.
The trade-off is fine-grained flow control — it is less expressive than LangGraph for complex non-linear logic. A pattern that comes up a lot is 'prototype in CrewAI, migrate to LangGraph when the flow outgrows it'.
Related terms
LangGraph
LangGraph is the graph-based agent workflow framework from the LangChain team — built so that branches, loops and human-in-the-loop steps are first-class.
AI AgentLlamaIndex
LlamaIndex is an LLM framework focused on RAG and data integration — a toolkit for indexing diverse documents, databases and APIs and connecting them to a model.
AI AgentAutoGen
AutoGen is Microsoft Research's multi-agent framework, built around conversational agents that exchange messages and divide work between themselves.
AI AgentSwarm
Swarm is OpenAI's lightweight, experimental multi-agent framework that boils coordination down to two ideas: handoffs between agents and small routines they each follow.
AI AgentMulti-Agent System
A multi-agent system is several AI agents with different roles cooperating on the same task — used when one agent alone is not enough to solve the problem.
How does your brand show up in AI answers?
Villion measures how your brand appears across ChatGPT, Perplexity and AI Overviews, then automates the work that lifts citation rate and share of voice.
Get a free audit