Mastra is an open-source TypeScript AI framework created by the team behind Gatsby for building AI-powered applications and agents with a modern web development stack. It solves the challenge of bringing AI agent capabilities to the TypeScript ecosystem by providing primitives including workflows for complex operations, agents for autonomous decisions, RAG for knowledge integration, and evaluations for quality assurance. Backed by Y Combinator W25, Mastra has grown to 25K+ GitHub stars and more than 1M weekly npm downloads for @mastra/core, establishing itself as a leading TypeScript-native agent framework.
Mastra provides autonomous agents that use LLMs and tools to solve open-ended tasks with built-in reasoning, model routing across 40+ providers through a unified interface, and both short-term and long-term memory systems for maintaining context across threads and sessions. The framework includes Mastra Studio, a built-in IDE for testing and debugging agents, along with workflow orchestration for multi-step processes, built-in support for data syncing, web scraping, and vector database management. Mastra supports structured outputs, streaming responses, tool calling, and integrates with the Model Context Protocol (MCP) for connecting agents to external services.
Mastra is designed for TypeScript and JavaScript developers building AI-powered web applications, chatbots, research assistants, and automated workflows who want a framework that feels native to the modern web development ecosystem. It integrates seamlessly with frontend and backend frameworks like React, Next.js, Nuxt, and Astro, and can be deployed anywhere as a standalone server or embedded within existing applications. The framework is particularly appealing to teams already working in the TypeScript ecosystem who prefer a more integrated development experience compared to Python-centric alternatives like LangChain or CrewAI.
