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LangGraph vs Vellum

Vellum scores higher on the AgentReady, 88/100 against 34/100. They differ on 20 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

Vellum. A personal AI assistant that lives in the secure Vellum Cloud, has its own identity, and actually does things in the world.

Where Vellum is ahead

Vellum 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: structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided and errors and status codes documented. LangGraph misses those.

And on adopt, 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 and mcp integration available. LangGraph misses those.

Finally, on operate, structured, predictable output, machine-readable errors, retry behavior documented and observable execution. LangGraph misses those.

What neither does

Both fail authentication documented, limits / constraints 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. Vellum leads 100 to 73. LangGraph misses clear product positioning, mcp discoverable; Vellum misses nothing.

Understand. Vellum leads 85 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; Vellum misses authentication documented, limits / constraints documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Vellum leads 100 to 25. 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; Vellum misses nothing.

Operate. Vellum leads 67 to 24. LangGraph misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Vellum misses idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

LangGraph does not publish a machine-readable starting price. Vellum starts at $30/mo and has a free tier.

Signal by signal

Which to pick

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

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