AutoGen vs n8n

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-30
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At a glance

DimensionAutoGenn8n
PricingFreeFreemium
User InterfaceCode-first, with AutoGen Studio UIVisual drag-and-drop canvas
IntegrationsLLM-centric (OpenAI, Azure, Hugging Face, etc.)500+ pre-built (Slack, GSheets, Salesforce, etc.)
DeploymentSelf-host, MIT licenseSelf-host (Docker) or cloud
Best ForDevelopers/researchers building multi-agent systemsIT/SecOps/DevOps automation
Key DifferentiatorAgent conversation orchestrationCode-level control + visual workflow

If you're automating operational workflows and need deep integration with business apps plus visual observability, go with n8n. If you're a developer or researcher building complex multi-agent AI collaborations with custom orchestration, AutoGen is your tool. For most enterprise automation scenarios, n8n wins for breadth and governance; for research/prototyping, AutoGen offers unmatched flexibility in agent design.

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AutoGen
AutoGen

Microsoft's open-source framework for building conversational and event-driven AI agents in Python and .NET.

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n8n
n8n

n8n is visual AI workflow automation with JavaScript and Python code steps, traceable agents, and self-hosting on your own infrastructure

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Pricing
Free
Freemium
Plans
$0/mo
$0
20€/mo, billed annually
50€/mo, billed annually
667€/mo, billed annually
Custom
Popularity
5.3k views
5.8k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
—
WebAPI
Categories
🕸️ Agent Frameworks & Orchestration
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration
Features
AutoGen Studio web UI for prototyping agents without writing code
AgentChat Python framework for conversational single- and multi-agent apps
Core event-driven framework for scalable multi-agent systems
Flexible agent role definition with distinct tools and model backends
Customizable conversation patterns including group chat and sequential turns
Extensions system for interfacing with external services and libraries
McpWorkbench for connecting agents to Model Context Protocol (MCP) servers
OpenAIAssistantAgent for using the OpenAI Assistant API
DockerCommandLineCodeExecutor for running model-generated code in a Docker container
GrpcWorkerAgentRuntime for distributed multi-language agents
Community extensions you can discover, use, or publish
Human-in-the-loop approval and intervention inside agent workflows
Python 3.10+ support with a .NET surface for agent workflows
Migration path documented for projects moving off AutoGen 0.2
MIT-licensed and free to self-host and modify
Visual drag-and-drop canvas with inputs and outputs beside each step's settings
JavaScript and Python code steps anywhere in a workflow
500+ pre-built integration nodes plus custom HTTP and GraphQL requests
Import cURL commands to create API nodes
MCP support for legacy systems and MCP-speaking tools
Build and update n8n workflows from inside your own AI app via MCP
AI agent builder with multi-agent setups and RAG pipeline support
Swap cloud or offline models without rebuilding workflows
Traceable AI reasoning — inspect prompt, response, and next action per execution
Human-in-the-loop approvals and rule-based guardrails for AI actions
Structured input and output enforcement to control data flow to and from AI steps
Native AI evaluation against real data, plus a prompt testing framework guide
Re-run single steps, replay or mock data, and debug via the logs view
Queue mode with multiple instances and external S3 storage
Self-hosting via Docker, on-prem, and air-gapped deployments
Integrations
OpenAI
Model Context Protocol (MCP) servers
Docker
gRPC
OpenAI Assistant API
Slack
GitHub
Google Sheets
Salesforce
HubSpot
Notion
Jira
PostgreSQL
Microsoft Graph
Datadog
Asana
ServiceNow
Zoom
Anthropic

Who should pick which

  • IT Operations Manager
    Pick: n8n

    You need to automate onboarding, incident response, and connect to tools like Slack, Jira, and Okta. n8n's visual builder and 500+ integrations make it fast to implement, with human-in-the-loop approvals for safety.

  • AI Researcher
    Pick: AutoGen

    You're experimenting with multi-agent collaboration, need flexible role definitions, and want to customize conversation patterns. AutoGen's MIT license and code-first approach let you iterate freely.

  • Security Analyst
    Pick: n8n

    You need to enrich threat intelligence and automate responses with SOAR-like workflows. n8n's audit logs, RBAC, and SIEM integration ensure compliance and traceability.

  • Developer Building AI Agents
    Pick: AutoGen

    You want programmatic control over agent orchestration, integrating with LLMs like Claude or Mistral. AutoGen's modular design and distributed support fit your stack.

  • DevOps Engineer
    Pick: n8n

    You need to convert natural language into API calls and automate CI/CD pipelines. n8n's code-level control, Git versioning, and 500+ integrations beat AutoGen's narrow focus.

Frequently Asked Questions

AutoGen vs n8n: which should you choose?

If you're automating operational workflows and need deep integration with business apps plus visual observability, go with n8n. If you're a developer or researcher building complex multi-agent AI collaborations with custom orchestration, AutoGen is your tool. For most enterprise automation scenarios, n8n wins for breadth and governance; for research/prototyping, AutoGen offers unmatched flexibility in agent design.

Can AutoGen be used as a no-code tool?

No, the primary interface is code. AutoGen Studio provides visual prototyping, but it's for developers, not non-technical users.

Does n8n support MCP (Model Context Protocol)?

Yes, n8n includes MCP support, enabling connections to legacy systems that speak MCP.

What does 'execution-based pricing' mean for n8n?

You pay per workflow execution, not per step. That can be cost-effective for simple flows but may add up for high-volume operations.

Is AutoGen production-ready?

It's open-source and used in research, but production deployment requires effort. Official documentation and support are limited compared to commercial tools.

Which tool is better for a solo founder automating a SaaS?

If you need connected to many business apps quickly, n8n's integrations win. If you're building a novel AI product with custom agent logic, AutoGen offers flexibility.

Can I self-host both?

Yes. n8n is self-hostable via Docker, and AutoGen is open-source under MIT, so you can run it on your infrastructure.

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Explore each tool further

AutoGen
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n8n
View n8n reviewn8n alternatives

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Last reviewed: August 14, 2026