AI Tool Comparison
Mastra vs n8n
A side-by-side breakdown to help you pick the right tool for your workflow.
Mastra
Build production-ready AI agents and workflows in TypeScript with full type safety. Memory, tool calls, and observability included — no Python detour required.
n8n
Visually connect apps, APIs, and AI models into multi-step automations — free and self-hostable, or run on Cloud with per-execution pricing.
Bottom Line
Last reviewed: August 2026
Mastra (Developer Tools) and n8n (Automation) come from different corners of the market, so this usually comes down to which job you're actually hiring a tool for, not a head-to-head on the same task. Mastra runs on a fully free plan while n8n runs on a freemium model, which alone may settle it if budget or a free tier is a hard requirement. n8n carries the higher rating (4.7 vs 4.4), but a gap that size rarely overrides a real workflow fit on its own.
Choose Mastra if…
Best for typeScript teams who want to build agents and RAG pipelines without switching to a Python environment, and its edge is first-class TypeScript primitives for agent memory and branching workflows, built by the team behind Gatsby. The right choice for JS-first teams specifically, Python-first teams should look at LangChain instead.
Choose n8n if…
Best for teams that want automation they can self-host and fully control, and its edge is free and self-hostable, with the same visual workflow builder as the paid competitors. The best choice when you want Zapier's flexibility without the recurring cost.
| Attribute | Mastra | n8n |
|---|---|---|
| Category | Developer Tools | Automation |
| Pricing | free | freemium |
| Pricing Detail | Open source / Free | Free (self-hosted) / €20/mo Cloud Starter / €50/mo Cloud Pro |
| Rating |
Key Features
Mastra
- TypeScript-first agent framework with full type inference
- Built-in agent memory with pluggable storage backends
- Workflow engine for multi-step, branching agent pipelines
- Native RAG support with vector store integrations
- Observability layer with traces, spans, and eval hooks
- Built on Vercel AI SDK — works with any LLM provider
n8n
- 400+ integrations
- AI nodes (LangChain)
- Self-hosting option
- Code nodes (JavaScript/Python)
- Complex branching logic
- Natural-language AI Assistant for building workflows
Pros
Mastra
- •TypeScript-native — no Python environment required for JS teams
- •Well-architected OSS from experienced maintainers
- •Fully open source with no forced cloud dependency
n8n
- •Open source and self-hostable
- •More powerful than Zapier for technical users
- •AI nodes are excellent
- •Great value vs Zapier
Cons
Mastra
- Younger ecosystem than LangChain — fewer community examples
- TypeScript-only, not suitable for Python-first teams
- No managed cloud runtime — deployment is self-directed
n8n
- Higher technical bar than Zapier
- Self-hosting requires maintenance
- Debugging complex flows can be hard