crewAI vs langgraph

Common questions

Which tool should I choose if I need to build stateful agents with human oversight?

LangGraph is the appropriate choice for building stateful agents with human oversight and durable execution capabilities.

What if my project requires autonomous agents to collaborate on complex tasks?

CrewAI is designed for orchestrating autonomous AI agents to work together on complex tasks, making it suitable for such projects.

Can both tools be used for JavaScript projects?

LangGraph is primarily designed for Python environments, whereas CrewAI also does not support JavaScript directly. Neither tool is ideal for JavaScript projects.

Which tool has more stars on its repository?

CrewAI has more stars on its repository compared to LangGraph, but this does not necessarily indicate which tool is more suitable for a specific project.

What is the difference between crewAI and langgraph?

crewAI: Framework for orchestrating role-playing, autonomous AI agents. langgraph: Low-level orchestration framework for building stateful agents. See the comparison table for live GitHub stats and shared categories.

When should I choose crewAI over langgraph?

Choose crewAI over langgraph when Requirements: Requires Python >=3.10 and <3.14.; Uses UV for dependency management.; Tags unique to crewAI: ai, aiagentframework, installation, llms; When you need a framework that supports the creation and orchestration of autonomous AI agents for collaborative tasks.

When should I choose langgraph over crewAI?

Choose langgraph over crewAI when Tags unique to langgraph: framework, langchain, langgraph, multiagent; When you need to build agents that can persist through failures and resume from where they left off, ensuring durable execution.

When should I avoid crewAI?

If your project does not require autonomous AI agents or collaborative intelligence among agents. When you prefer not to use UV for dependency management or if your environment does not support Python within the required version range. If your project's complexity does not necessitate the orchestration of multiple AI agents, or if you are working in an environment where the installation of additional tools like UV is not feasible.

When should I avoid langgraph?

If you are looking for a higher-level package that simplifies the process of building agents with planning and subagent capabilities, consider Deep Agents instead. For projects that do not require long-running, stateful workflows, LangGraph's features may be overkill and a simpler framework might be more appropriate. If your project is primarily focused on JavaScript or TypeScript, LangGraph.js might be a better fit, as LangGraph is primarily designed for Python environments.

Is crewAI or langgraph more popular on GitHub?

crewAI has more GitHub stars (58,723 vs 41,866). Stars measure visibility, not whether either tool fits your constraints.

Are crewAI and langgraph open source?

Yes - both are open-source projects on GitHub (crewAI: MIT, langgraph: MIT).

Where can I find alternatives to crewAI or langgraph?

GraphCanon lists graph-backed alternatives at crewAI alternatives and langgraph alternatives (crewAI markdown twin, langgraph markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, crewAI or langgraph?

crewAI: Very active. langgraph: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for crewAI and langgraph?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: crewAI trust report; langgraph trust report.