A low-level orchestration framework for building stateful, multi-step agent workflows with explicit control over state, branching, and human-in-the-loop steps.
AI / LLM comparison
Pricing, pros, cons, and ideal use cases — side by side.
A low-level orchestration framework for building stateful, multi-step agent workflows with explicit control over state, branching, and human-in-the-loop steps.
An enterprise AI assistant for employees — search across every business system and execute the request, now part of ServiceNow.
| LangGraph | Moveworks | |
|---|---|---|
| Pricing | FreemiumOpen-source framework, free to use. Paid tiers apply to the surrounding LangSmith platform, not the framework itself. | EnterpriseNot published — enterprise contracts negotiated after a demo, typically priced per employee. Since the ServiceNow acquisition, ask how it is licensed relative to your existing ServiceNow agreement rather than treating it as a standalone purchase. |
| Category | AI / LLM | AI / LLM |
| Ideal for | Engineering teams building multi-step agentsEnterprise platform teamsWorkflows needing human-in-the-loop control | Enterprise IT and HR service desks with high ticket volumeCompanies already standardised on ServiceNowInternal support teams drowning in repetitive access and how-to requestsEmployee experience teams consolidating enterprise search |
LangGraph is the lighter-weight option (Freemium), while Moveworks sits higher on the pricing ladder (Enterprise). LangGraph is built around engineering teams building multi-step agents; Moveworks leans more toward enterprise it and hr service desks with high ticket volume. Shortlist the one whose strengths line up with your biggest constraint.
Get one AI workflow a week showing AI / LLM in a real stack — what they cost, and where each one breaks.