Keywords AI

Dify vs Mastra

Compare Dify and Mastra side by side. Both are tools in the Agent Frameworks category.

Quick Comparison

Dify
Dify
Mastra
Mastra
CategoryAgent FrameworksAgent Frameworks
PricingOpen SourceOpen Source
Best ForTechnical teams who want a visual builder for AI applications with the option to self-hostTypeScript developers who want a modern framework for building production AI agents
Websitedify.aimastra.ai
Key Features
  • Visual workflow builder for AI apps
  • Multi-model support
  • RAG pipeline builder
  • Plugin ecosystem
  • Self-hosted and cloud options
  • TypeScript agent framework
  • Built-in tool calling and workflows
  • Sync engine for agent state
  • Integration marketplace
  • Production-ready agent primitives
Use Cases
  • Building AI chatbots without deep coding
  • RAG application development
  • AI workflow prototyping
  • Multi-model application design
  • Enterprise AI tool deployment
  • TypeScript-native agent development
  • Building AI workflows with tool use
  • Agent state management
  • Production agent deployment
  • Multi-step task automation

When to Choose Dify vs Mastra

Dify
Choose Dify if you need
  • Building AI chatbots without deep coding
  • RAG application development
  • AI workflow prototyping
Pricing: Open Source
Mastra
Choose Mastra if you need
  • TypeScript-native agent development
  • Building AI workflows with tool use
  • Agent state management
Pricing: Open Source

How to Choose a Agent Frameworks Tool

Key criteria to evaluate when comparing Agent Frameworks solutions:

Programming languagePython, TypeScript, or both — must match your team skills and existing codebase.
Architecture patternSingle-agent, multi-agent, or graph-based orchestration depending on task complexity.
Tool ecosystemBuilt-in tools and ease of creating custom tools for your specific needs.
ObservabilityBuilt-in tracing, debugging, and monitoring for understanding agent behavior.
Production readinessError handling, retries, streaming, and deployment options for production use.

About Dify

Dify is an open-source platform for building LLM applications with both visual and code-based interfaces. It provides a workflow orchestration engine, RAG pipeline builder, agent framework, and model management—all accessible through a web UI. Dify supports 50+ LLM providers, offers enterprise features like SSO and access control, and can be self-hosted or used as a cloud service.

About Mastra

Mastra is a TypeScript-first agent framework for building production AI applications. It provides primitives for agents, workflows, RAG, integrations, and memory with a focus on developer experience and type safety. Mastra is designed for full-stack TypeScript developers who want to build AI features without leaving their existing tech stack.

What is Agent Frameworks?

Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.

Browse all Agent Frameworks tools →

Frequently Asked Questions

What is an AI agent framework?

An agent framework provides the building blocks for creating AI agents that can autonomously plan, use tools, and complete multi-step tasks. Instead of building tool use, memory, and orchestration from scratch, you get pre-built components that handle the common patterns.

Do I need a framework or can I build agents with raw API calls?

For simple single-tool agents, raw API calls work fine. Frameworks become valuable when you need multi-step planning, tool orchestration, error recovery, memory, or multi-agent coordination. They save significant development time for complex agent architectures.

Which agent framework should I choose?

LangChain and LlamaIndex are the most mature with the largest ecosystems. CrewAI is best for multi-agent workflows. Vercel AI SDK is ideal for TypeScript/Next.js applications. Evaluate based on your language preference, use case complexity, and integration needs.

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