CrewAI
by CrewAI
Role-based multi-agent framework. Define crews of agents with roles, goals, and tasks, run them as a team.
OSS
CrewAI
Added 17 May 2026
Overview
CrewAI is the most popular open-source framework for multi-agent collaboration. Define agent roles, give each one a goal and tools, let them coordinate. The mental model (a team of role-specialised agents) lands cleaner than a single graph for a lot of common workflows.
Best for
Best for
Teams who think in roles, not graphs
Use cases
- Research crew: planner, researcher, writer, editor
- Customer support crew with escalation roles
- Sales-ops crew that qualifies, drafts, and routes
- Internal-tooling crew across analyst, builder, reviewer roles
Notes
Why it matters
Not every team thinks in graphs. CrewAI’s role-and-goal model lands cleaner for teams coming from a project-management lens than from a backend orchestration lens.
How teams use it in production
Start with two roles, not five. Add real tools per role. Track per-role output quality before adding a third agent to the crew.
What to watch
The multi-agent frameworks (CrewAI, AutoGen, LangGraph, Swarm) are converging on a similar primitive set. Pick the mental model that fits your team, not the framework with the loudest demo.
Pros
- Role-based mental model is intuitive for non-graph thinkers
- Strong community and momentum
- Reasonable tooling for handoffs between agents
- Pairs with most provider SDKs
Cons
- Less explicit state than LangGraph for very long flows
- Multi-agent debugging is still hard, period
- Production reliability needs careful engineering on top
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
AutoGen
Microsoft
Microsoft's framework for multi-agent conversations. Agents that talk to each other to solve hard problems.
LangGraph
LangChain
Graph-based orchestration for long-running, multi-step agents. The control plane LangChain always needed.