CrewAI vs LangGraph (2026)
Short answer: Choose CrewAI for faster setup of role-based teams of agents. Choose LangGraph when you need fine-grained control over state, branching and persistence.
Both are open-source Python frameworks for multi-agent systems. CrewAI organizes work as role-based crews and flows; LangGraph models agents as explicit stateful graphs.
| CrewAI 1.15.28 | LangGraph 1.2.15 |
|---|
| Model | Role-based crews and flows | Stateful graphs (nodes and edges) |
| Latest release we track | 1.15.28 (14 Oct 2026) | 1.2.15 on PyPI (12 Oct 2026) |
| Newest notable feature | `crewai eval` reports where a stopped model broke | Not covered in the sources we checked |
| License | See repo | MIT |
| AgentPick Score | 92/100 | 90/100 |
| Try it | Official source ↗ | Official source ↗ |
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Our take
Choose CrewAI for faster setup of role-based teams of agents. Choose LangGraph when you need fine-grained control over state, branching and persistence.
The sourced entries
Agent building AgentPick Score 92/100 · #2 in category Released 14 Oct 2026
Verdict: A useful debugging release for teams running crews in production: the new eval command targets the hardest question, where a run went wrong. Mostly fixes otherwise.
Test notes: The verdict is based on the linked public release notes only.
Pricing: Open source
Agent building AgentPick Score 90/100 · #4 in category Released 12 Oct 2026
Verdict: The low-level choice when you need explicit control over agent state, branching and persistence. More code than CrewAI's role-based crews, but more control.
Test notes: The verdict is based on the linked public sources only.
Pricing: Open source
Every row comes from the sources linked on each card. Last updated 15 Oct 2026.
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