Dify vs Mastra
Side-by-side comparison of two agent options that often come up together when people are choosing between self-hosted frameworks, managed assistants, and extensible AI tooling.
Open source139k stars
Dify
Production-ready platform for building and deploying agentic workflows with a visual interface
Open source23k stars
Mastra
TypeScript-first agent framework with observational memory and workflow orchestration
Category
Dify
Mastra
Tagline
Production-ready platform for building and deploying agentic workflows with a visual interface
TypeScript-first agent framework with observational memory and workflow orchestration
Deployment
Self-hosted / Managed cloud (Dify Cloud)
Self-Hosted
Pricing
Open source and self-hostable for free. Dify Cloud starts at $59/month for teams.
Free to use, with optional model or infrastructure costs if you self-host.
Channels
Web, api, Slack, Teams
Web, CLI
Open source
Yes
Yes
Privacy
Self-hosted deployment keeps data on your infrastructure. Dify Cloud sends data to Dify servers.
Good privacy posture for most teams, especially when self-hosted or carefully configured.
Dify pros
- Visual workflow builder lowers the barrier to building agentic apps.
- Production-ready with observability, versioning, and team collaboration.
- Supports RAG pipelines, tool calling, and multi-agent orchestration.
Mastra pros
- TypeScript-first — rare in the agent framework space (most are Python)
- Observational Memory — automatically tracks and surfaces agent reasoning patterns
- From the Gatsby team — proven track record building developer-facing OSS
Dify cons
- Heavier infrastructure than lightweight agent frameworks.
- Best suited for app builders, not researchers or coding agents.
- Managed cloud tier can get expensive at scale.
Mastra cons
- TypeScript-only — not suitable for Python-heavy stacks
- Younger ecosystem compared to LangChain or CrewAI
- Primarily a development framework — not a ready-to-use personal assistant
Dify gotchas
- Designed for building agent-powered apps, not for personal AI assistant use cases.
- Self-hosting requires Docker and some ops knowledge.
Mastra gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
Not sure which one fits you?
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