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Agno vs LangGraph

Agno scores higher on the AgentReady, 65/100 against 34/100. 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.

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

Where Agno is ahead

Agno passes clear product positioning and 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: authentication documented and pricing understandable. LangGraph misses those.

And on adopt, self-service signup, no mandatory sales call, free trial or free allowance and mcp integration available. LangGraph misses those.

Finally, on operate, structured, predictable output, observable execution and agent compatibility verified. LangGraph misses those.

Where LangGraph is ahead

LangGraph passes copyable quickstart, and Agno does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

What neither does

Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, agent-compatible signup flow, programmatic credential creation, fast time to first request, cli available, machine-readable errors, 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 73. Agno misses nothing; LangGraph misses clear product positioning, mcp discoverable.

Understand. Agno leads 31 to 15. Agno misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, 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. Agno leads 65 to 25. Agno misses agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, 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 is whether an agent can run against it in production and recover when a call fails. Agno leads 65 to 24. Agno misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; LangGraph misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

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

Signal by signal

Which to pick

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

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