Last updated: 2026-05-11
OpenAI Agents SDK vs LangGraph
OpenAI Agents SDK optimizes for OpenAI-native agent primitives; LangGraph optimizes for explicit workflow state and graph control.
Quick recommendation: Choose OpenAI Agents SDK for a fast OpenAI-native build. Choose LangGraph when workflow state, recovery, and graph control are the main risks.
Choose the first option when
- You are standardized on OpenAI models.
- You need tools, handoffs, and tracing with minimal framework overhead.
- You want a short prototype path.
Choose the second option when
- You need explicit state transitions.
- Human review, retries, and recovery are core requirements.
- You need model-provider flexibility.
Feature comparison
| Abstraction | Agent primitives | Graph and state machine |
|---|---|---|
| Best risk fit | Provider integration risk | Workflow control risk |
| Production shape | OpenAI-native runtime with traces | Explicit orchestration layer |
Developer experience
OpenAI Agents SDK is faster for OpenAI-first teams. LangGraph asks for more modeling up front and returns more control during debugging.
Final recommendation
Use the SDK when the provider stack is the product path. Use LangGraph when your main job is controlling stateful workflow behavior.