DifyvsMicrosoft AutoGen

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

Dify

Automation Platforms

Open-source platform for building LLM applications visually

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

FeatureDifyMicrosoft AutoGen
CategoryAutomation PlatformsAI Agent Frameworks
PricingFree + Cloud plansFree (open-source)
GitHub Stars
More stars
60k
35k
PlatformsmacOS, Linux, Windows, DockerLinux, macOS, Windows
Key Features
  • Visual builder
  • RAG engine
  • Agent framework
  • Workflow orchestration
  • Multi-model
  • API-first
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
Pros
  • + Beautiful visual interface
  • + Built-in RAG pipeline
  • + Prompt engineering studio
  • + Self-hostable
  • + Multi-model support
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
Cons
  • Newer platform, still maturing
  • Can be complex to self-host
  • Limited advanced customization
  • Cloud pricing can add up
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
Tags
open-sourcelow-coderagagentsenterprise
multi-agentmicrosoftconversationsopen-source

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