Mastra Tutorial: How to Build AI Agents in TypeScript

Mastra is an open-source TypeScript framework designed for building AI agents and workflows, emphasizing structured output and multi-step pipelines. Developed by the team behind Gatsby and having graduated from Y Combinator, Mastra has gained significant traction with 19,000 GitHub stars. This tutorial demonstrates using Mastra to create a changelog tracker by integrating Firecrawl for web scraping and search functionalities. It showcases the creation of typed tools with Zod schemas, enabling agents to autonomously decide tool sequences and execute deterministic workflows that produce consistent, typed JSON outputs. The framework's unique approach ensures ease of use for TypeScript developers, offering a native environment for AI agent development, unlike other frameworks that are ported from Python. Furthermore, Mastra provides a local development server with a chat UI, facilitating real-time testing and interaction through its built-in visual IDE, Mastra Studio. The tutorial also touches on deploying Mastra projects, highlighting its compatibility with platforms like Vercel and Cloudflare Workers, and emphasizes the role of structured output in ensuring predictable and reliable results when integrating large language models (LLMs) into AI solutions.