AI Tool Comparison
Dify vs Mastra
A side-by-side breakdown to help you pick the right tool for your workflow.
Dify
Build and orchestrate LLM applications and agentic workflows with visual workflow design, RAG, and knowledge-base management — open source with 139,000+ GitHub stars.
Mastra
Build production-ready AI agents and workflows in TypeScript with full type safety. Memory, tool calls, and observability included — no Python detour required.
Bottom Line
Last reviewed: August 2026
Dify and Mastra both sit in Developer Tools, but they're built around different use cases within it. Dify runs on a freemium model while Mastra runs on a fully free plan, which alone may settle it if budget or a free tier is a hard requirement. Dify carries the higher rating (4.7 vs 4.4), but a gap that size rarely overrides a real workflow fit on its own.
Choose Dify if…
Best for teams building production chatbots or agent pipelines who want a visual editor instead of raw LangChain code, and its edge is a visual canvas with built-in RAG tooling and observability, reducing development time versus building from primitives. Dramatically faster to build with than coding from scratch, complex workflows can still get hard to debug once wired up.
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.
| Attribute | Dify | Mastra |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | free |
| Pricing Detail | Free Sandbox / $59/mo Professional / $159/mo Team | Open source / Free |
| Rating |
Key Features
Dify
- Visual workflow editor
- RAG pipeline builder
- Multi-model support
- Built-in observability
- API and webhook integration
- Self-hostable
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
Pros
Dify
- •Visual editor dramatically reduces development time
- •Strong open-source community and active development
- •Works with any major LLM provider
Mastra
- •TypeScript-native — no Python environment required for JS teams
- •Well-architected OSS from experienced maintainers
- •Fully open source with no forced cloud dependency
Cons
Dify
- Complex workflows can become difficult to debug
- Cloud pricing jumps significantly beyond free tier
Mastra
- Younger ecosystem than LangChain — fewer community examples
- TypeScript-only, not suitable for Python-first teams
- No managed cloud runtime — deployment is self-directed