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Agno vs CrewAI

CrewAI scores higher on the AgentReady, 79/100 against 65/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Agno. Agno is a self-driving agent platform that runs in your cloud.

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 Agno is ahead

Agno 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: no mandatory sales call. CrewAI misses it.

And on operate, agent compatibility verified. CrewAI misses it.

Where CrewAI is ahead

CrewAI passes structured api reference, openapi / spec quality, request examples provided, response examples provided and errors and status codes documented, and Agno 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: programmatic credential creation, fast time to first request and copyable quickstart. Agno misses those.

And on operate, machine-readable errors. Agno misses it.

What neither does

Both fail limits / constraints documented, agent-compatible signup flow, cli available, retry behavior documented, idempotency support, rate-limit behavior predictable. 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. Agno leads 100 to 87. Agno 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 31. Agno misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; CrewAI misses limits / constraints documented.

Adopt. CrewAI leads 75 to 65. Agno misses agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, cli available; CrewAI misses no mandatory sales call, agent-compatible signup flow, cli available.

Operate. Agno leads 65 to 61. Agno misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; CrewAI misses retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Agno starts at $0/mo and has a free tier. CrewAI starts at $0/mo and has a free tier.

Agno plansCrewAI plans
Free $0/monthFree $0/mo
Pro $150/monthEnterprise Custom
Enterprise Custom-

Signal by signal

SignalAgnoCrewAI
AgentReady6579
Discovery10087
Understanding3192
Adoption6575
Operability6561
Public APIYesYes
MCP serverYesYes
OpenAPI specUnknownYes
CLIUnknownUnknown
llms.txtYesYes
Self-serve signupYesYes
Free tierYesYes

Which to pick

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

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