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LangChainThe open agent platform to own your intelligence
vs
Microsoft AutoGenOpen-source framework for building and coordinating multi-agent AI applications
Comparison · AI Agents · weekly run Nov 3

LangChain vs Microsoft AutoGen

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

The short answer

LangChain is the stronger AI pick in AI Agents: it has a visibility score of 10.4 versus 4.5 for Microsoft AutoGen, and ranks ahead in 100% of the answers that name both.

Choose LangChain if…

  • You want the brand AI engines rank higher (10.4 vs 4.5)
  • You need a self-hosted or on-premises option
  • Stateful multi-agent orchestration via state graphs
  • Strong open-source adoption with large download numbers

Choose Microsoft AutoGen if…

  • You prefer a larger, established vendor (5,000+ employees)
  • high-concurrency asynchronous multi-agent conversations
  • enterprise-grade scaling

AI visibility side by side

Latest weekly run · Nov 3

Metric LangChain Microsoft AutoGen
Visibility score10.4%4.5%
Change vs last weekNewNew
Rank in AI Agents#12#26
Share of voice2.7%1.2%
Mentions this run186
Positive in AI answers17%—

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 · Microsoft AutoGen 0pp over 0 weekly runs.

Engine by engine

LangChain leads on 2 of 3 engines

ChatGPT
12.6%
0%
AI Mode
13.3%
13.5%
Perplexity
5.2%
0%
LangChainMicrosoft AutoGen

Head to head in AI answers

2 engine answers name both brands

2LangChain ranked higher
0Microsoft AutoGen ranked higher
PromptEngineLangChainMicrosoft AutoGen
Best AI agent platform for enterprise AI Mode#2#7
Compare the leading AI Agents platforms AI Mode#2#4

Features, pricing & fit

DimensionLangChainMicrosoft AutoGen
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 VPCOpen-source Python library
SupportCommunity forum, Support portal, Email support, Slack—
Founded20232023
HeadquartersSan Francisco, CA, United StatesRedmond, Washington (parent: Microsoft)
Employees201–5005,000+
FundingSeries B, led by IVP—
Best forTeams building agents that need control over models, context, memory and deployment, and the ability to test, govern and improve them in production—

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

Microsoft AutoGen

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

Microsoft AutoGen

  • high-concurrency asynchronous multi-agent conversations
  • enterprise-grade scaling

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

    Cite as: SlateIndex, “LangChain vs Microsoft AutoGen”, https://slateindex.ai/compare/langchain-vs-microsoft-autogen, data of Nov 3, 2026. Licence: CC BY 4.0.