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Mastra: The TypeScript AI framework for building and productionizing AI agents and workflows.
Mastra is a powerful TypeScript AI framework designed to streamline the development and productionization of sophisticated AI agents and complex workflows. Built by the team behind Gatsby, it leverages a modern JavaScript stack to empower developers in building intelligent applications with ease. Mastra aims to simplify the entire AI development lifecycle, from prototyping to deployment, offering a comprehensive suite of tools for creating agents that can execute tasks, access data, and maintain persistent memory.
The framework stands out by providing a unified API for various AI providers, allowing seamless switching between models. It emphasizes robust workflow orchestration with features like graph-based state machines, built-in tracing, and human-in-the-loop capabilities. For developers, Mastra offers an intuitive developer experience (DX) with a focus on performance, observability, and scalability.
Mastra is ideal for developers and teams looking to integrate advanced AI capabilities into their JavaScript and TypeScript applications. Whether you're building chatbots, automating complex processes, or creating data-driven AI features, Mastra provides the tools and structure needed for efficient development and scalable deployment. Its focus on developer experience and comprehensive features makes it a valuable asset for startups and established companies alike.
Getting started with Mastra is straightforward. You can use npm create mastra@latest to scaffold a new project. The framework offers extensive documentation, templates, and examples to guide you through building your first AI agent or workflow. The free book, "Principles of Building AI Agents," is also a valuable resource for learning the fundamentals.
Build intelligent agents that can execute tasks, access data sources, and maintain persistent memory for more robust interactions.
Orchestrate complex sequences of LLM operations with durable, graph-based state machines offering clear control flow and real-time visibility.
Equip agents with relevant context by syncing data, scraping the web, and embedding it into a unified vector store for efficient querying and reranking.
Monitor and debug AI applications with comprehensive tracing, performance metrics, and evaluation tools for every step of every run.
Switch between different AI model providers (e.g., OpenAI) with a single line of code thanks to the unified AI SDK.
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Pause and resume workflow execution, persist state, and stream step completion events for human-in-the-loop interactions and long-running tasks.