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LangGraph vs Marqo

Marqo scores higher on the AgentReady, 38/100 against 34/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

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

Marqo. Marqo is a search and product discovery platform built for ecommerce that uses LLM-based retrieval to continuously learn from shopper behavior and surface relevant, high-converting products.

Where LangGraph is ahead

LangGraph passes clear canonical domain, llms.txt published and llms-full.txt / full agent docs, and Marqo does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: copyable quickstart. Marqo misses it.

Where Marqo is ahead

Marqo passes structured api reference and pricing understandable, and LangGraph 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: free trial or free allowance. LangGraph misses it.

And on operate, observable execution. LangGraph misses it.

What neither does

Both fail clear product positioning, mcp discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, cli available, mcp integration available, structured, predictable output, machine-readable errors, 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. LangGraph leads 73 to 53. LangGraph misses clear product positioning, mcp discoverable; Marqo misses clear canonical domain, clear product positioning, llms.txt published, llms-full.txt / full agent docs, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Marqo leads 38 to 15. 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; Marqo misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Both sit at 25/100 here. 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; Marqo misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, cli available, mcp integration available.

Operate. Marqo leads 35 to 24. LangGraph misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Marqo misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

LangGraph does not publish a machine-readable starting price. Marqo does not publish one with no free tier.

Signal by signal

SignalLangGraphMarqo
AgentReady3438
Discovery7353
Understanding1538
Adoption2525
Operability2435
Public APIYesYes
MCP serverUnknownUnknown
OpenAPI specUnknownYes
CLIUnknownUnknown
llms.txtYesUnknown
Self-serve signupUnknownNo
Free tierUnknownNo

Which to pick

Signal counts are level here, so fit and price decide it. Full profiles: LangGraph and Marqo. Alternatives to each: LangGraph, Marqo.

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