crewAI vs dify

Common questions

What is the difference between crewAI and dify?

crewAI: Framework for orchestrating role-playing, autonomous AI agents. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. See the comparison table for live GitHub stats and shared categories.

When should I choose crewAI over dify?

Choose crewAI over dify when crewAI is primarily Python; dify is TypeScript; License: crewAI is MIT, dify is Other; Requirements: Requires Python >=3.10 and <3.14.; Uses UV for dependency management.; Dify is another platform for agentic workflow development which competes in the market with CrewAI on similar capabilities and scope; Tags unique to crewAI: agents, ai-agents, aiagentframework, installation; When you need a framework that supports the creation and orchestration of autonomous AI agents for collaborative tasks.

When should I choose dify over crewAI?

Choose dify over crewAI when dify is primarily TypeScript; crewAI is Python; License: dify is Other, crewAI is MIT; Dify is another platform for agentic workflow development which competes in the market with CrewAI on similar capabilities and scope; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers Data & Retrieval, Developer Tools; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.

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 dify?

If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions.

Is crewAI or dify more popular on GitHub?

dify has more GitHub stars (156,243 vs 58,723). Stars measure visibility, not whether either tool fits your constraints.

Are crewAI and dify open source?

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

Where can I find alternatives to crewAI or dify?

GraphCanon lists graph-backed alternatives at crewAI alternatives and dify alternatives (crewAI markdown twin, dify 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 dify?

crewAI: Very active. dify: 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 dify?

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