n8n vs Rivet
Detailed side-by-side comparison to help you choose the right tool
n8n
🟡Low CodeWorkflow automation
A flexible workflow automation platform for technical teams, including AI agents, integrations, code, and self-hosting.
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Starting Price
FreeRivet
🟡Low CodeAI Development Platforms
Rivet: Visual IDE for building, testing, and debugging AI agent workflows using a node-graph interface by Ironclad.
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Starting Price
FreeFeature Comparison
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💡 Our Take
Choose Rivet if your primary focus is LLM prompt chain development with real-time debugging and production SDK integration for AI agent workflows. Choose n8n if you need a general-purpose workflow automation platform that connects hundreds of SaaS tools and APIs, with AI nodes as one capability among many.
n8n - Pros & Cons
Pros
- ✓Starter is €20/month annually for 2,500 executions
- ✓Charges by execution instead of each step
- ✓Self-hosting provides infrastructure and data control
- ✓Code, Git, and environments suit technical teams
Cons
- ✗Self-hosting transfers security and availability work to customers
- ✗Business jumps to €667/month billed annually
- ✗Retries and frequent triggers consume allowances
- ✗Flexibility requires testing, idempotency, and monitoring
Rivet - Pros & Cons
Pros
- ✓Completely free and open-source under MIT license with no seat-based pricing
- ✓YAML-based graph files enable standard Git version control and code review workflows
- ✓Production-validated by Ironclad, Attentive, and Bento — not just a prototyping tool
- ✓Real-time remote debugger shows live execution inside your deployed application
- ✓Desktop-first architecture keeps prompts and API keys on your local machine, not a vendor cloud
- ✓Public integrations with ecosystem partners like AssemblyAI for audio transcription
Cons
- ✗Desktop app requirement excludes browser-only or Chromebook development environments
- ✗Smaller community and plugin library than code-first frameworks like LangChain
- ✗Visual graphs can become unwieldy when agent workflows grow past dozens of nodes
- ✗Production integration requires engineering effort with the TypeScript SDK
- ✗No built-in hosted deployment — teams must run the executor in their own infrastructure
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