Compare DevTools
LangGraph vs OpenAI Agents SDK
LangGraph vs OpenAI Agents SDK: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
LangGraph vs OpenAI Agents SDK : buying comparison
This comparison helps choose between LangGraph and OpenAI Agents SDK by pricing, use case, models, integration, privacy and governance.
Budget: LangGraph · Open source / platform. Rating: LangGraph · 4.6/5.
| Criteria | LangGraph | OpenAI Agents SDK |
|---|---|---|
| Price | Open source / platform | Open source + API usage |
| Best for | Building reliable stateful agents, multi-agent graphs and long-running workflows | Code-first agent applications with tool execution, handoffs, tracing and state |
| Models | State graphs, durable execution, streaming workflows, human-in-the-loop and agent orchestration | Agents, handoffs, guardrails, tools, tracing, Responses API and multi-agent workflows |
| Privacy | MIT open-source framework for local use; hosted platform and enterprise controls depend on LangSmith plan | SDK is open source; data handling follows the selected model provider and runtime configuration |
| Rating | 4.6/5 | 4.5/5 |
Frequently asked questions
LangGraph or OpenAI Agents SDK: which one should you choose?
Choose LangGraph if entry budget is the priority. Choose LangGraph if perceived maturity and overall rating matter more. The final test should still be based on your repository.
Do LangGraph and OpenAI Agents SDK cover the same need?
Yes, they are close in category; compare limits, privacy, integration and suggestion quality.
How can teams run a fair test?
Use the same ticket, same repository and same data constraints, then measure saved time, errors, diff quality and monthly cost.