Mastra
VerifiedTypeScript framework for building production-ready AI agents and apps.
What is Mastra?
Mastra is an open-source framework that enables developers to construct AI-powered applications and agents using a TypeScript-first approach. It bundles essential components such as model connections, agent reasoning loops, graph-based workflows, and context handling to support reliable AI behavior across different stages of development.
The system operates by letting users define agents that interact with tools and models, orchestrate steps through explicit workflow controls, and maintain state for human oversight or long-running tasks. Integrations allow these components to embed into existing web stacks or run independently as servers, with additional support for protocol-based tool exposure and performance monitoring.
It targets TypeScript developers and teams building AI features who need structured patterns for agents, production monitoring, and frontend-backend connectivity without starting from scattered libraries.
What you can build with Mastra
Autonomous task agents
Create agents that reason through goals, select tools, and iterate until reaching a solution for open-ended problems.
Multi-step process orchestration
Design graph workflows that branch, run in parallel, or pause for approvals using explicit control flow syntax.
Web app AI integration
Embed agents into React or Next.js interfaces with memory features and UI libraries for interactive assistants.
Install Mastra
npm create mastra@latestnpm create mastra@latest- 1Run the command npm create mastra@latest to scaffold a new project.
- 2Review the generated files and adjust model provider settings in configuration.
- 3Define an agent or workflow using the provided TypeScript APIs and tools.
- 4Test locally by running the development server and observing agent behavior.
- 5Connect to your frontend or deploy the standalone server for production use.
Mastra: pros & cons
Pros
- +Unified interface for 40+ model providers reduces switching friction.
- +Built-in workflows and memory features speed up complex agent development.
- +Strong TypeScript typing and observability tools aid production reliability.
- +Flexible deployment options support both web frameworks and independent servers.
Cons
- –Primarily suited for TypeScript environments, limiting use in other languages.
- –Newer project may have fewer community examples compared to established alternatives.
- –Advanced workflow features require learning graph-based syntax.
Frequently asked questions
It supports over 40 providers including OpenAI, Anthropic, and Gemini through a single interface.
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