Side-by-side

Vellum vs LangGraph

VellumLangGraph

Bottom line: Vellum for teams wanting an all-in-one build-evaluate-deploy platform; LangGraph for engineering teams building production agents.

	Vellum Build, evaluate, and deploy LLM apps and agents with confidence. Visit	LangGraph Graph-based orchestration for stateful, controllable LLM agents. Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Llm Observability	Agent Frameworks
Tags	llmopsai-agentsprompt-engineeringevaluationworkflow	agentsorchestrationllm-frameworkopen-sourceworkflow
Best for	Teams wanting an all-in-one build-evaluate-deploy platform Cross-functional groups with technical and non-technical members Regulated sectors needing VPC or HIPAA options	Engineering teams building production agents Developers needing controllable, resumable workflows Teams already invested in LangChain
Pros	Combines prompt, workflow, evaluation, and deployment in one platform Visual workflow builder lowers the barrier for cross-functional collaborators Solid evaluation and testing tooling for pre-production quality gates Multi-provider model support avoids lock-in Free tier lets teams trial without a credit card	Explicit, debuggable control over agent state and flow MIT-licensed core, free to self-host Model-agnostic, not tied to one LLM vendor Strong support for cycles, checkpointing, and human-in-the-loop Backed by the widely used LangChain ecosystem
Cons	Pricing is opaque and sales-led, making budgeting hard Not open source, and self-hosting is locked to Enterprise Free tier is quite limited in credits, documents, and seats Smaller company and funding than infrastructure incumbents Frequent repositioning can mean shifting product focus	Steeper learning curve than high-level agent builders Requires comfort with graph and state concepts Paid platform and observability are separate products Documentation and APIs have evolved quickly Can be overkill for simple single-shot LLM tasks

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