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 1.15.28LangGraph 1.2.15
ModelRole-based crews and flowsStateful graphs (nodes and edges)
Latest release we track1.15.28 (14 Oct 2026)1.2.15 on PyPI (12 Oct 2026)
Newest notable feature`crewai eval` reports where a stopped model brokeNot covered in the sources we checked
LicenseSee repoMIT
AgentPick Score92/10090/100
Try itOfficial 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

CrewAI 1.15.28 logoCrewAI 1.15.28

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

Source: github.com · Last checked 15 Oct 2026

LangGraph 1.2.15 logoLangGraph 1.2.15

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

Source: github.com pypi.org · Last checked 15 Oct 2026

Every row comes from the sources linked on each card. Last updated 15 Oct 2026.

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