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CrewAI vs LangGraph

Side-by-side comparison with live GitHub signals. Last updated July 6, 2026.

C

CrewAI

Multi-agent orchestration framework for collaborative AI workflows

OSSFree
55.0Ktoday298
L

LangGraph

LangChain's framework for building stateful agent graphs — 26K+ stars

OSSFree
36.6Ktoday275
MetricCrewAILangGraph
GitHub Stars55.0K36.6K
Contributors298275
Last CommitJul 5, 2026Jul 5, 2026
Open Issues613602
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Shared Tags

multi-agentpython

Only in CrewAI

orchestrationrolestaskscollaboration

Only in LangGraph

graphstatefullangchainpersistenceopen-source

About CrewAI

CrewAI is a lean, fast multi-agent orchestration framework that lets you define autonomous AI agents with distinct roles, goals, and backstories, then assign them tasks within a structured crew. Agents collaborate, delegate, and pass context to each other using a role-playing paradigm that maps naturally to real team workflows. CrewAI supports sequential and hierarchical process flows, integrates with LangChain tools, and ships with a CLI for scaffolding new projects. It is the go-to framework for task-driven multi-agent systems without heavy infrastructure overhead.

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About LangGraph

LangGraph is LangChain's framework for building stateful, multi-actor agent applications as graphs. Define agents as nodes and their interactions as edges, with built-in persistence, streaming, human-in-the-loop, and time-travel debugging. The standard for production agent orchestration in the LangChain ecosystem.

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