AutoGen vs n8n
An honest side-by-side comparison of two of our top ai agent platforms picks — pricing, strengths, weaknesses, and who each one is really for.
AutoGen
Ranked #3 of 15 in this directory
Microsoft's framework for building multi-agent conversational AI systems
n8n
Ranked #5 of 15 in this directory
Open-source workflow automation with powerful AI agent capabilities
Our pick: AutoGen. Our editors rank AutoGen higher overall in AI Agent Platforms — but n8n can be the better fit depending on your budget and use case below. How we review
Compare the details
| AutoGen | n8n | |
|---|---|---|
| Pricing model | Free | Freemium |
| Starting price | Free | See website |
| Category | Agent Frameworks | Workflow Builders |
| Editorial rank | #3 of 15 | #5 of 15 |
Strengths
AutoGen
- ✓Backed by Microsoft Research with strong academic foundations
- ✓Excellent multi-agent conversation patterns out of the box
- ✓Human-in-the-loop support built into the core architecture
- ✓Event-driven architecture in v0.4 for better scalability
- ✓Free and open-source with active development
n8n
- ✓Open-source and self-hostable for full data control
- ✓Visual AI Agent node with ReAct reasoning and tool use
- ✓400+ integrations with custom code extensibility
- ✓Active community with shared workflow templates
- ✓Fair-code license allows inspection and modification
Watch out for
AutoGen
- !API underwent major rewrite from v0.2 to v0.4 — migration can be painful
- !Primarily Python-focused, limited support for other languages
- !Less production tooling compared to LangChain ecosystem
- !Documentation can lag behind rapid development pace
n8n
- !Self-hosting requires DevOps knowledge and infrastructure
- !Fewer native integrations than Make or Zapier
- !AI features are newer and less battle-tested than dedicated frameworks
- !Cloud pricing can be expensive for high-volume workflows
Best use cases
AutoGen
- →Building a coding assistant where agents write, review, and test code together
- →Creating a research workflow with debate-style multi-agent reasoning
- →Implementing human-supervised AI workflows with approval checkpoints
n8n
- →Self-hosting an AI agent pipeline for sensitive data processing
- →Building a customer support agent that queries databases and sends emails
- →Automating internal workflows with AI-powered decision making
About each tool
AutoGen
AutoGen, developed by Microsoft Research, is a framework for building applications where multiple AI agents converse with each other (and optionally humans) to solve tasks. It pioneered the concept of conversable agents with customizable behaviors. AutoGen 0.4 introduced an event-driven architecture with better scalability and modularity. It's particularly strong for research applications and complex reasoning tasks requiring multi-turn agent discussions.
n8n
n8n is an open-source, self-hostable workflow automation tool with a visual editor and strong AI agent features. Its AI Agent node lets you build ReAct-style agents that can use tools, access memory, and chain reasoning steps — all configured visually. n8n connects to 400+ services and can be extended with custom code nodes. Self-hosting gives full data control, making it popular with privacy-conscious teams and enterprises.
Still deciding? Browse all 15 options with honest pros, cons, and pricing.
See all AI Agent Platforms →