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AutoGen (AG2) vs CrewAI

CrewAI scores higher on the AgentReady, 79/100 against 53/100. They differ on 13 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

AutoGen (AG2). AG2 (formerly AutoGen) is an open-source multi-agent AI framework and AgentOS for building, orchestrating, and evolving systems of AI agents.

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.

Where AutoGen (AG2) is ahead

AutoGen (AG2) passes clear product positioning, and CrewAI does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: agent-compatible signup flow. CrewAI misses it.

Where CrewAI is ahead

CrewAI passes structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided and errors and status codes documented, and AutoGen (AG2) does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: self-service signup, programmatic credential creation and fast time to first request. AutoGen (AG2) misses those.

And on operate, structured, predictable output and machine-readable errors. AutoGen (AG2) misses those.

What neither does

Both fail limits / constraints documented, no mandatory sales call, 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. AutoGen (AG2) leads 100 to 87. AutoGen (AG2) misses nothing; CrewAI misses clear product positioning.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. CrewAI leads 92 to 23. AutoGen (AG2) misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; CrewAI misses limits / constraints documented.

Adopt. CrewAI leads 75 to 55. AutoGen (AG2) misses self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, cli available; CrewAI misses no mandatory sales call, agent-compatible signup flow, cli available.

Operate. CrewAI leads 61 to 35. AutoGen (AG2) misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; CrewAI misses retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

AutoGen (AG2) does not publish a machine-readable starting price and has a free tier. CrewAI starts at $0/mo and has a free tier.

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: AutoGen (AG2) and CrewAI. Alternatives to each: AutoGen (AG2), CrewAI.

An agent can fetch this as data: POST /v1/compare {"slugs": ["ag2", "crewai"]}