AI Tool Comparison

AutoGen vs Dify

A side-by-side breakdown to help you pick the right tool for your workflow.

AutoGen

Build LLM-based multi-agent systems with patterns like GroupChat — Microsoft's original AutoGen repo is now in maintenance mode, merged into the new Microsoft Agent Framework, with the AG2 community fork continuing active development.

Developer Tools

free

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Dify

Build and orchestrate LLM applications and agentic workflows with visual workflow design, RAG, and knowledge-base management — open source with 139,000+ GitHub stars.

Developer Tools

freemium

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Bottom Line

Dify edges ahead on rating (4.7 vs 4.5), but the right pick still comes down to which workflow you're running.

Choose AutoGen if…

Multi-Agent Systems

Choose Dify if…

Chatbot Development

Attribute	AutoGen	Dify
Category	Developer Tools	Developer Tools
Pricing	free	freemium
Pricing Detail	Free and open source (in maintenance mode — see AG2 fork)	Free Sandbox / $59/mo Professional / $159/mo Team
Rating	★ 4.5	★ 4.7

Key Features

AutoGen

ConversableAgent pattern
Human-in-the-loop support
Code execution sandbox
Group chat between agents
Tool use and function calling
Flexible model backend

Dify

Visual workflow editor
RAG pipeline builder
Multi-model support
Built-in observability
API and webhook integration
Self-hostable

Pros

AutoGen

•Best for complex research and coding tasks that need iterative agent collaboration
•Human proxy pattern makes it easy to build supervised autonomy workflows
•Microsoft backing means strong long-term development