LangGraph vs OpenAI Agents SDK
Quick answer: LangGraph leads this head-to-head in 2026, scoring 94 on the Hyland Score against OpenAI Agents SDK's 88. It scores higher on the Hyland Score (94 vs 88). Choose OpenAI Agents SDK instead if your work fits the "Single Agent" category better.
LangGraph
Stateful, controllable agent orchestration as graphs.
Try LangGraphOpenAI Agents SDK
Lightweight agents with handoffs and guardrails.
Try OpenAI Agents SDKSpec-by-spec
LangGraph: strengths & weaknesses
- Higher Hyland Score (94 vs 88)
- Open Source pricing lowers the cost of getting started
OpenAI Agents SDK: strengths & weaknesses
- Open Source pricing lowers the cost of getting started
- Lower Hyland Score (88 vs 94)
Choose LangGraph for most teams
LangGraph comes out ahead because it scores higher on the Hyland Score (94 vs 88).
Choose OpenAI Agents SDK instead if your work fits the "Single Agent" category better.
LangGraph vs OpenAI Agents SDK: FAQ
Which is better, LangGraph or OpenAI Agents SDK?
Based on the Hyland Score, LangGraph leads with 94 vs 88, because it scores higher on the Hyland Score (94 vs 88). However, Choose OpenAI Agents SDK instead if your work fits the "Single Agent" category better.
Is LangGraph free to use?
LangGraph uses a Open Source pricing model. It is open source. It can be self-hosted.
Is OpenAI Agents SDK free to use?
OpenAI Agents SDK uses a Open Source pricing model. It is open source. It can be self-hosted.
Can I use LangGraph and OpenAI Agents SDK together?
Yes — many teams combine them. LangGraph strengths: python, typescript, stateful. OpenAI Agents SDK strengths: python, handoffs, guardrails. Evaluate both against your actual workload before standardizing on one.
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