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AI Tool Comparison
Langflow vs n8n
A side-by-side breakdown to help you pick the right tool for your workflow.
Langflow
Wire up AI agents and RAG pipelines on a visual canvas, then export the finished flow as a working API or MCP server. Free and self-hosted since DataStax's cloud tier closed.
Developer Tools
free
n8n
Visually connect apps, APIs, and AI models into multi-step automations — free and self-hostable, or run on Cloud with per-execution pricing.
Automation
freemium
| Attribute | Langflow | n8n |
|---|---|---|
| Category | Developer Tools | Automation |
| Pricing | free | freemium |
| Pricing Detail | Free and MIT licensed, self-hosted only (DataStax's hosted cloud shut down April 2026) | Free (self-hosted) / €20/mo Cloud Starter / €50/mo Cloud Pro |
| Rating | ★ 4.5(3,600 reviews) | ★ 4.7(8,100 reviews) |
Key Features
Langflow
- Drag-and-drop visual canvas
- Export flows as an API or MCP server
- Built-in RAG and vector store components
- Desktop app plus Docker/pip self-hosting
n8n
- 400+ integrations
- AI nodes (LangChain)
- Self-hosting option
- Code nodes (JavaScript/Python)
- Complex branching logic
Pros
Langflow
- •Fully free since the hosted cloud tier was discontinued
- •MIT licensed with an active, large contributor base
- •Exports directly to a usable API or MCP server
n8n
- •Open source and self-hostable
- •More powerful than Zapier for technical users
- •AI nodes are excellent
- •Great value vs Zapier
Cons
Langflow
- No first-party managed hosting anymore, self-hosting is the only option
- Production usage still costs LLM API tokens and infrastructure
n8n
- Higher technical bar than Zapier
- Self-hosting requires maintenance
- Debugging complex flows can be hard