Microsoft AutoGenvsn8n

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

n8n

Automation Platforms

Open-source workflow automation with built-in AI capabilities

FeatureMicrosoft AutoGenn8n
CategoryAI Agent FrameworksAutomation Platforms
PricingFree (open-source)Free (self-hosted), cloud from $20/mo
GitHub Stars
35k
More stars
52k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows, Docker
Key Features
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
  • 400+ integrations (APIs, databases, SaaS)
  • Native AI nodes (LLM, vector store, RAG chains)
  • Visual drag-and-drop workflow builder
  • Self-hostable via Docker (full data control)
  • Webhook triggers, cron schedules, event-driven
  • JavaScript/Python code nodes for custom logic
  • Credential management and encryption
  • Active community (52K+ GitHub stars)
Pros
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
  • + Self-hostable (full data control)
  • + 400+ integrations
  • + Visual workflow builder
  • + Native AI/LLM nodes
  • + Active community
Cons
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
  • Resource-heavy for self-hosting
  • Learning curve for complex workflows
Tags
multi-agentmicrosoftconversationsopen-source
automationworkflowno-codeself-hostedintegrations

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