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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.
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 | 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 | ★ 4.4(890 reviews) | ★ 4.7(8,100 reviews) |
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
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