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OpenAI Agents SDK vs LangGraph
OpenAI Agents SDK vs LangGraph: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
OpenAI Agents SDK vs LangGraph : buying comparison
This comparison helps choose between OpenAI Agents SDK and LangGraph by pricing, use case, models, integration, privacy and governance.
Budget: OpenAI Agents SDK · Open source + API usage. Rating: LangGraph · 4.6/5.
| Criteria | OpenAI Agents SDK | LangGraph |
|---|---|---|
| Price | Open source + API usage | Open source / platform |
| Best for | Code-first agent applications with tool execution, handoffs, tracing and state | Building reliable stateful agents, multi-agent graphs and long-running workflows |
| Models | Agents, handoffs, guardrails, tools, tracing, Responses API and multi-agent workflows | State graphs, durable execution, streaming workflows, human-in-the-loop and agent orchestration |
| Privacy | SDK is open source; data handling follows the selected model provider and runtime configuration | MIT open-source framework for local use; hosted platform and enterprise controls depend on LangSmith plan |
| Rating | 4.5/5 | 4.6/5 |
Frequently asked questions
OpenAI Agents SDK or LangGraph: which one should you choose?
Choose OpenAI Agents SDK 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 OpenAI Agents SDK and LangGraph 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.