Microsoft AutoGenvsLangflow

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

FeatureMicrosoft AutoGenLangflow
CategoryAI Agent FrameworksAutomation Platforms
PricingFree (open-source)Free (open-source) + Cloud
GitHub Stars
35k
35k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows, Docker, Web
Key Features
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
Pros
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
Cons
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
  • Tied to LangChain ecosystem
  • Limited for very custom logic
  • Can be slow for complex flows
  • Still maturing
Tags
multi-agentmicrosoftconversationsopen-source
no-codevisuallangchainopen-source

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