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SlateIndex
LangChainThe open agent platform to own your intelligence
vs
OpenAI Agents SDKOpen-source Python and TypeScript framework for building AI agents.
Comparison · AI Agents · weekly run Nov 3

LangChain 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 10.4 for LangChain, and ranks ahead in 92% of the answers that name both.

Choose LangChain if…

  • You need a self-hosted or on-premises option
  • Stateful multi-agent orchestration via state graphs
  • Strong open-source adoption with large download numbers
  • Suited to enterprise agent loops

Choose OpenAI Agents SDK if…

  • You want the brand AI engines rank higher (31.4 vs 10.4)
  • AI answers describe it more positively (45% vs 17% 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 LangChain OpenAI Agents SDK
Visibility score10.4%31.4%
Change vs last weekNewNew
Rank in AI Agents#12#2
Share of voice2.7%5.8%
Mentions this run1838
Positive in AI answers17%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 3LangChain 10%

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

Engine by engine

OpenAI Agents SDK leads on 3 of 3 engines

ChatGPT
12.6%
41.9%
AI Mode
13.3%
32.4%
Perplexity
5.2%
19.8%
LangChainOpenAI Agents SDK

Head to head in AI answers

13 engine answers name both brands

1LangChain ranked higher
12OpenAI Agents SDK ranked higher

Features, pricing & fit

DimensionLangChainOpenAI Agents SDK
Pricing modelPer seat—
Entry priceFree; paid from $39 per seat / mo—
Free planYes—
DeploymentCloud (SaaS), hybrid (SaaS control plane with self-hosted data plane), or self-hosted in the customer's VPCRuns inside the customer's own application; the customer controls deployment, storage and approvals.
Compliance—SOC 2 Type 2, ISO/IEC 27001:2022, ISO/IEC 27701:2019, CSA STAR Level 1
SupportCommunity forum, Support portal, Email support, Slack—
Founded2023—
HeadquartersSan Francisco, CA, United States1455 and 1515 Third Street, San Francisco
Employees201–500—
FundingSeries B, led by IVP$122 billion round closed March 31, 2026 at $852 billion post-money, anchored by Amazon, Nvidia and SoftBank · $180000M raised
Best forTeams building agents that need control over models, context, memory and deployment, and the ability to test, govern and improve them in productionTeams already building on OpenAI models that want a lightweight framework to write their own agent logic.

Plans side by side

LangChain

Developer$0seat per month, then pay as you go
Plus$39seat per month, then pay as you go
EnterpriseCustomcustom pricing, then pay as you go
LangChain pricing

OpenAI Agents SDK

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

LangChain

  • Stateful multi-agent orchestration via state graphs
  • Strong open-source adoption with large download numbers
  • Suited to enterprise agent loops
  • Heavy developer framework that requires coding

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, “LangChain vs OpenAI Agents SDK”, https://slateindex.ai/compare/langchain-vs-openai-agents-sdk, data of Nov 3, 2026. Licence: CC BY 4.0.