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Mastra vs Dify

MastraDify

Bottom line: Mastra for typeScript and full-stack JavaScript teams; Dify for teams building LLM apps and agents quickly.

The TypeScript framework for building AI agents and workflows.

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Open-source platform for building production-ready LLM apps and agents.

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
agentstypescriptopen-sourceworkflowrag
llmopsopen-sourceai-agentsragworkflow
Best for
  • TypeScript and full-stack JavaScript teams
  • Startups shipping AI features fast
  • Developers wanting agents without Python
  • Teams building LLM apps and agents quickly
  • Organizations with data-residency needs
  • Developers who want an open-source, self-hostable stack
Pros
  • TypeScript-native, rare among serious agent frameworks
  • Open source and free to self-host
  • Ergonomic agents, workflows, memory, and evals in one toolkit
  • Strong funding and momentum (22k+ GitHub stars)
  • Fits full-stack and front-end teams
  • Genuinely open-source and self-hostable for strong data control
  • All-in-one: workflow, RAG, agents, and prompt IDE in one workspace
  • Low-code visual canvas lowers the barrier to building
  • Broad model and provider support, including self-hosted models
  • Large, active community and a marketplace ecosystem
Cons
  • Young project with a still-maturing ecosystem
  • APIs may change as it evolves toward stability
  • Fewer integrations than older Python frameworks
  • TypeScript-only, no Python option
  • Managed cloud pricing not fully transparent
  • License is not fully permissive; multi-tenant resale and branding removal are prohibited
  • Real cost is dominated by separate LLM token spend, not the platform fee
  • Message-credit model on paid tiers can feel limiting at scale
  • Self-hosting adds ops and maintenance burden
  • Free tier's one-time credits are essentially a demo allowance

Comparison generated from each tool's listing. Add or remove tools above to change it.