Side-by-Side Comparison
When to choose LangGraph
- ▸Your workflow requires cyclical execution paths where agents loop back based on intermediate results.
- ▸You need robust state persistence across long-running agent sessions with checkpointing.
- ▸Human-in-the-loop approval steps or interrupts are a requirement in your pipeline.
- ▸You want fine-grained control over exactly how data flows between each agent step.
- ▸Your use case involves complex conditional branching logic that a linear pipeline cannot express.
When to choose CrewAI
- ▸You need to rapidly prototype a multi-agent system where multiple specialists collaborate on a task.
- ▸Role-based abstractions (researcher, writer, reviewer) map naturally to your problem domain.
- ▸Built-in memory and tool-sharing between agents is important without heavy configuration.
- ▸Sequential or hierarchical crew processes cover your workflow without needing custom graph logic.
- ▸Your team wants a gentler learning curve and faster time-to-working-demo than LangGraph offers.
Find LangGraph and CrewAI Agencies
When briefing an AI agent agency on a LangGraph vs CrewAI decision, share the actual complexity of your workflow — specifically whether your agents need to loop, persist state between sessions, or make branching decisions based on intermediate outputs. Also share your team's Python depth, as LangGraph's graph abstractions reward teams comfortable with stateful programming patterns. A good agency will ask these questions before recommending a framework.
Which has more agencies?
In our directory, there are currently 50 LangGraph agencies and 28 CrewAI agencies. LangGraph leads the directory — reflecting its longer history and broader ecosystem adoption. However, CrewAI agency numbers are growing as the framework matures.
Bottom line
LangGraph and CrewAI represent two distinct philosophies: LangGraph gives you a programmable state machine for workflows that demand precise control, cycles, and persistence, while CrewAI gives you a team-oriented abstraction that gets multi-agent collaboration running quickly. For AI agent agencies, LangGraph is the choice when a client's workflow is genuinely complex and stateful; CrewAI is the choice when speed of delivery and role clarity matter more than low-level control.