AutoGen vs n8n

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

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At a glance

DimensionAutoGenn8n
PricingFree (open-source MIT)€20/mo (cloud starter); free self-hosted
Ease of UseProgrammatic framework with optional UIVisual workflow builder with code support
Best ForResearchers, devs building multi-agent systemsIT Ops, SecOps, developers needing integrations
Key StrengthFlexible agent orchestration, any LLM500+ integrations, AI evaluation, A2A protocol
DeploymentSelf-hosted (requires Python, Docker for sandbox)Cloud or on-prem (Docker)
SupportCommunity-driven (Microsoft maintenance)Community + paid support tiers

Choose n8n if you need a visual, production-ready automation platform with 500+ integrations and AI agent capabilities including the new A2A protocol. Choose AutoGen if you're a developer or researcher deeply customizing multi-agent orchestrations with any LLM and don't require pre-built integrations or a polished UI.

AutoGen
AutoGen

Build multi-agent AI workflows with Microsoft's open-source framework.

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n8n
n8n

Open-source AI workflow automation with full traceability and control

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Pricing
Free
Freemium
Plans
$0/mo (MIT)
Free
€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
APIDesktop
WebCLI
Categories
🤖 Automation & Agents
🤖 Automation & Agents
Features
Multi-agent conversation orchestration
Flexible agent role definition
Customizable conversation patterns
Integration with various LLMs
Extensible tool use
Support for human-in-the-loop
Open-source with community contributions
AutoGen Studio visual prototyping UI
Code execution sandboxing (requires Docker)
Modular agent composition
Visual workflow builder with JavaScript/Python code
500+ pre-built integrations and custom API nodes
AI agent builder supporting multi-agent and RAG
Human-in-the-loop approvals and guardrails
On-prem deploy via Docker or n8n cloud
Git-based version control and workflow diffs
RBAC, SSO/SAML, LDAP, encrypted secrets
Audit logs, log streaming, workflow history
AI evaluation and performance optimization
Agent-to-Agent (A2A) protocol support
Community node: data leak prevention
Re-run single steps, replay data, mock calls
Isolated environments and multi-user workflows
Execution-based pricing (not per step/user)
Integrations
OpenAI
Azure OpenAI
Hugging Face
LLaMA
Mistral
Claude
Slack
Salesforce
ServiceNow
Asana
GitHub
Docker
Anthropic Claude
Google Sheets
Microsoft Teams
Jira
PostgreSQL
MySQL
Redis
AWS S3

Feature-by-feature

n8n offers a visual workflow builder with JavaScript/Python nodes, 500+ pre-built integrations (Slack, Salesforce, OpenAI, etc.), AI agent builder with multi-agent and RAG, human-in-the-loop approvals, AI evaluation, and the recently introduced Agent-to-Agent (A2A) protocol for cross-agent orchestration. It also includes Git-based version control, RBAC, SSO, audit logs, and on-prem deployment. AutoGen is a programmatic framework focused on multi-agent conversation orchestration, allowing flexible agent role definition, any LLM integration, and human-in-the-loop. It has a visual prototyping UI (AutoGen Studio) but lacks pre-built integrations and advanced enterprise features like RBAC or audit logs. n8n's new community node for data leak prevention adds security. AutoGen excels in agent customization and code execution sandboxing (Docker), but requires more manual setup.

Pricing compared

n8n operates on a freemium model: a free self-hosted Community Edition (unlimited executions, no cloud) and cloud tiers starting at €20/month (5k executions). Enterprise plans with SSO, audit logs, and priority support are available. Pricing is based on executions, not users or steps. AutoGen is completely free and open-source under MIT license, with no paid tiers. However, self-hosting AutoGen requires infrastructure costs (e.g., LLM API fees, Docker for sandbox). For those who want a fully managed solution with support, n8n's cloud tiers provide convenience, while AutoGen's free framework gives full control but demands technical overhead.

Who should pick which

  • IT Ops Manager
    Pick: n8n

    Needs to automate onboarding, incident response with 500+ integrations, human approvals, and audit logs—n8n's visual workflow, RBAC, and SSO fit perfectly.

  • AI Researcher
    Pick: AutoGen

    Requires flexible multi-agent orchestration with any LLM, custom conversation patterns, and tool use—AutoGen's programmatic framework is ideal for experimentation.

  • SecOps Engineer
    Pick: n8n

    Enrich threat intelligence and orchestrate SOAR with community data leak prevention, encrypted secrets, and on-prem deployment for data privacy.

  • Developer Building AI Assistants
    Pick: n8n

    Wants to quickly build multi-agent RAG workflows with the new A2A protocol, pre-built integrations, and code nodes for custom logic, without deep LLM orchestration complexity.

  • Startup CTO
    Pick: n8n

    Needs a scalable, self-hosted automation platform with AI capabilities, version control, and no vendor lock-in—n8n's Community Edition offers free on-prem deployment.

Frequently Asked Questions

Is n8n truly open-source?

Yes, n8n is released under the Sustainable Use License, which is source-available and restricts competitive use, but free for internal use.

Can AutoGen integrate with external APIs like Slack or Salesforce?

AutoGen does not have pre-built connectors; you must write custom Python code to integrate with external services via LLM tool calls.

Which tool works better for non-technical users?

n8n's visual workflow builder with drag-and-drop nodes and code-optional design is more accessible. AutoGen requires Python coding and understanding of agent architectures.

Does n8n support human-in-the-loop approvals?

Yes, n8n includes dedicated nodes for human approval and guardrails, allowing pauses in workflows for manual input.

Can AutoGen run on-premises?

Yes, AutoGen is self-hosted and open-source. You can run it locally or on your own servers, but it requires Python and optionally Docker for code execution sandboxing.

What is the A2A protocol in n8n?

Announced in June 2026, the Agent-to-Agent (A2A) protocol enables cross-agent communication, allowing multiple n8n agents to orchestrate tasks at scale.

Does AutoGen have any visual interface?

Yes, AutoGen Studio provides a drag-and-drop UI for prototyping multi-agent workflows, but it's designed for rapid iteration, not production deployment.

Which tool is better for building AI agents?

n8n offers a broader platform with integrations, AI evaluation, and A2A, ideal for production agents that interact with business tools. AutoGen gives deeper control for research-heavy multi-agent systems.

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Last reviewed: June 30, 2026