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CrewAI vs Mastra

CrewAI scores higher on the AgentReady, 79/100 against 42/100. They differ on 18 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.

Mastra. Mastra is a TypeScript framework for building AI agents and applications.

Where CrewAI is ahead

CrewAI passes llms-full.txt / full agent docs, and Mastra 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. Mastra misses those.

And on adopt, self-service signup, programmatic credential creation, free trial or free allowance, fast time to first request and official python sdk. Mastra misses those.

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

Where Mastra is ahead

Mastra 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: cli available. CrewAI misses it.

What neither does

Both fail limits / constraints documented, no mandatory sales call, agent-compatible signup flow, 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. Mastra leads 93 to 87. CrewAI misses clear product positioning; Mastra misses llms-full.txt / full agent docs.

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; Mastra 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 35. CrewAI misses no mandatory sales call, agent-compatible signup flow, cli available; Mastra 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, official python sdk.

Operate. CrewAI leads 61 to 24. CrewAI misses retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Mastra 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. Mastra does not publish one.

CrewAI plansMastra plans
Free $0/mo-
Enterprise Custom-

Signal by signal

SignalCrewAIMastra
AgentReady7942
Discovery8793
Understanding9215
Adoption7535
Operability6124
Public APIYesYes
MCP serverYesYes
OpenAPI specYesUnknown
CLIUnknownYes
llms.txtYesYes
Self-serve signupYesUnknown
Free tierYesUnknown

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 Mastra. Alternatives to each: CrewAI, Mastra.

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