Skip to content
SlateIndex
LangGraphLow-level orchestration framework and runtime for long-running, stateful agents.
vs
OpenAI Agents SDKOpen-source Python and TypeScript framework for building AI agents.
Comparison · AI Agents · weekly run Nov 3

LangGraph vs OpenAI Agents SDK

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

OpenAI Agents SDK is the stronger AI pick in AI Agents: it has a visibility score of 31.4 versus 24.4 for LangGraph, and ranks ahead in 71% of the answers that name both.

Choose LangGraph if…

  • You need a self-hosted or on-premises option
  • You need SOC 2 Type II or ISO 27001:2022 or GDPR or HIPAA coverage
  • Production standard for stateful, multi-agent workflows
  • Strong engineering control for complex, cyclical agent logic

Choose OpenAI Agents SDK if…

  • You want the brand AI engines rank higher (31.4 vs 24.4)
  • AI answers describe it more positively (45% vs 44% positive)
  • You need SOC 2 Type 2 or ISO/IEC 27001:2022 or ISO/IEC 27701:2019 or CSA STAR Level 1 coverage
  • Widely adopted platform for enterprise and developer agents

AI visibility side by side

Latest weekly run · Nov 3

Metric LangGraph OpenAI Agents SDK
Visibility score24.4%31.4%
Change vs last weekNewNew
Rank in AI Agents#4#2
Share of voice5.3%5.8%
Mentions this run3338
Positive in AI answers44%45%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3LangGraph 24%

LangGraph 0pp · OpenAI Agents SDK 0pp over 0 weekly runs.

Engine by engine

OpenAI Agents SDK leads on 2 of 3 engines

ChatGPT
20%
41.9%
AI Mode
35.4%
32.4%
Perplexity
18%
19.8%
LangGraphOpenAI Agents SDK

Head to head in AI answers

21 engine answers name both brands

6LangGraph ranked higher
15OpenAI Agents SDK ranked higher

Features, pricing & fit

DimensionLangGraphOpenAI Agents SDK
DeploymentSaaS in US and EU regions, plus self-hosted and hybrid options available on Enterprise only.Runs inside the customer's own application; the customer controls deployment, storage and approvals.
ComplianceSOC 2 Type II, ISO 27001:2022, GDPR, HIPAASOC 2 Type 2, ISO/IEC 27001:2022, ISO/IEC 27701:2019, CSA STAR Level 1
HeadquartersSan Francisco1455 and 1515 Third Street, San Francisco
FundingSeries B$122 billion round closed March 31, 2026 at $852 billion post-money, anchored by Amazon, Nvidia and SoftBank · $180000M raised
Best forTeams building long-running, stateful AI agents.Teams already building on OpenAI models that want a lightweight framework to write their own agent logic.

Pros and cons

Themes from the AI answers that mention each brand

LangGraph

  • Production standard for stateful, multi-agent workflows
  • Strong engineering control for complex, cyclical agent logic
  • Widely adopted open-source developer framework
  • Best choice for autonomous AI agents
  • Heavy developer framework that requires coding effort

OpenAI Agents SDK

  • Widely adopted platform for enterprise and developer agents
  • Streamlined framework for native GPT integration and function calling
  • Good for rapid prototyping
  • Access to foundational models and agent workflows via the OpenAI Platform
  • A framework rather than a complete enterprise automation suite
  • Requires separate payment for OpenAI model API usage

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “LangGraph vs OpenAI Agents SDK”, https://slateindex.ai/compare/langgraph-vs-openai-agents-sdk, data of Nov 3, 2026. Licence: CC BY 4.0.