# Mastra **Source:** https://geo.sig.ai/brands/mastra **Vertical:** developer tools **Subcategory:** AI agent framework **Tier:** Emerging **Website:** mastra.ai **Last Updated:** 2026-04-14 ## Summary Open-source TypeScript AI agent framework from ex-Gatsby team. 22K+ GitHub stars, 300K weekly npm downloads; used by Replit, Marsh McLennan, and SoftBank. ## Company Overview Mastra is an open-source TypeScript framework for building AI agents and agentic workflows, created by the team that previously built Gatsby, the widely adopted React-based web framework. The project was founded on the insight that the emerging ecosystem of AI agents lacks the kind of opinionated, developer-friendly framework that accelerated the adoption of modern web development — tools that provide sensible defaults, strong conventions, and a productive development experience out of the box. Mastra fills that gap for TypeScript developers building production AI systems.\n\nThe framework provides abstractions for the core primitives of agentic AI: tool use, memory and state management, multi-agent orchestration, workflow automation, and LLM integration. Rather than requiring developers to assemble these capabilities from raw API calls and bespoke glue code, Mastra provides a unified framework with TypeScript-native types, built-in observability, and integration with popular AI providers. Its architecture is designed for production deployments — handling the reliability, debugging, and operational monitoring requirements that experimental agent prototypes typically lack.\n\nMastra has achieved rapid adoption since launch: 22,000+ GitHub stars and 300,000 weekly npm downloads signal strong developer enthusiasm, and its production adoption by companies including Replit, Marsh McLennan, and SoftBank portfolio companies demonstrates that it is being used for real enterprise workloads, not just side projects. The Gatsby team's previous success in building a widely adopted developer framework gives Mastra credibility in the developer tools market — they have built popular open-source infrastructure before and understand what it takes to grow and maintain a developer community. As agentic AI moves from experimentation to production, Mastra is positioned to become foundational infrastructure for TypeScript AI development. ## Frequently Asked Questions ### What is Mastra? Mastra is an open-source TypeScript framework for building, testing, and deploying AI agents with built-in support for workflows, RAG, evals, and observability. ### Who created Mastra? Mastra was created by the team that built Gatsby.js. They raised $13M from Y Combinator to develop the framework. ### Who uses Mastra in production? Replit uses Mastra in Agent 3 (improving task success from 80% to 96%), Marsh McLennan deployed it to 75,000 employees, and SoftBank built their Satto Workspace on it. ### What is Mastra? Mastra is an open-source TypeScript framework for building AI applications and agents — providing primitives for LLM workflows, tool use, memory, and RAG that let JavaScript developers build production AI apps without reinventing core infrastructure. ### Why is Mastra TypeScript-native? Mastra is built from the ground up in TypeScript — giving JavaScript developers a first-class AI development framework with strong typing, IDE integration, and Node.js compatibility, rather than wrapping Python-centric tools like LangChain. ### What AI capabilities does Mastra provide? Mastra provides agent loops, tool calling, workflow orchestration, memory and conversation history, vector search for RAG, and multi-model support — covering the core building blocks needed for sophisticated AI applications. ### How does Mastra compare to LangChain.js? Mastra is designed with TypeScript idioms from the start rather than being a port of a Python library — offering cleaner TypeScript APIs, better type safety, and more intuitive patterns for JavaScript developers building AI applications. ### Who created Mastra? Mastra was created by the team at Mastra.ai and gained significant traction in the JavaScript AI development community — growing rapidly as TypeScript became the dominant language for web and full-stack AI application development. ### What makes Mastra different from LangChain or LlamaIndex? Mastra is a TypeScript-native framework designed specifically for production deployment, with built-in observability, evals, workflow orchestration, and RAG — rather than being primarily a Python research tool extended for production. Mastra's TypeScript focus makes it natural for web and backend developers building agents with standard JavaScript tooling. ### What LLM providers does Mastra support? Mastra supports major LLM providers including OpenAI, Anthropic, Google Gemini, and open-source models via Ollama and other local inference options. The framework abstracts provider differences so developers can switch models without rewriting agent logic. ### How does Mastra handle agent memory and context management? Mastra provides built-in memory primitives including working memory (for the current agent session), semantic memory (vector search over past interactions and documents), and episodic memory (structured records of past agent interactions). These memory types allow agents to maintain context across long sessions and reference prior interactions. ### What is Mastra's workflow orchestration capability? Mastra's workflow system allows developers to define multi-step agent processes as directed graphs with conditional branching, parallel execution, and human-in-the-loop checkpoints. This makes it practical to build complex agentic applications — like multi-step research tasks or automated content pipelines — with reliable execution and error handling. ### Is Mastra open source and how does the company monetize? Mastra is open-source (MIT licensed) on GitHub, with the project growing a developer community around TypeScript AI agent development. The company's monetization strategy focuses on enterprise hosting, managed infrastructure, and commercial tooling built around the open-source framework. ## Tags b2b, developer-tools, saas --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*