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CrewAI vs LangGraph

CrewAI scores higher on the AgentReady, 79/100 against 34/100. They differ on 16 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

CrewAI. CrewAI is an enterprise agent build and runtime platform that enables business and technical teams to build agents while giving platform teams control to govern them.

LangGraph. LangGraph is a low-level orchestration framework for advanced needs combining deterministic and agentic workflows, part of the LangChain ecosystem

Where CrewAI is ahead

CrewAI passes mcp discoverable, and LangGraph does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided and errors and status codes documented. LangGraph misses those.

And on adopt, self-service signup, programmatic credential creation, free trial or free allowance, fast time to first request and mcp integration available. LangGraph misses those.

Finally, on operate, structured, predictable output, machine-readable errors and observable execution. LangGraph misses those.

What neither does

Both fail clear product positioning, limits / constraints documented, no mandatory sales call, agent-compatible signup flow, cli available, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. CrewAI leads 87 to 73. CrewAI misses clear product positioning; LangGraph misses clear product positioning, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. CrewAI leads 92 to 15. CrewAI misses limits / constraints documented; LangGraph misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. CrewAI leads 75 to 25. CrewAI misses no mandatory sales call, agent-compatible signup flow, cli available; LangGraph misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, cli available, mcp integration available.

Operate. CrewAI leads 61 to 24. CrewAI misses retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; LangGraph misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

CrewAI starts at $0/mo and has a free tier. LangGraph does not publish one.

Signal by signal

Which to pick

CrewAI clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: CrewAI and LangGraph. Alternatives to each: CrewAI, LangGraph.

An agent can fetch this as data: POST /v1/compare {"slugs": ["crewai", "langchain"]}