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§ Private Profile · San Francisco, CA, USA
The Javascript framework for building AI agents, from the Gatsby devs
Mastra has raised $13.0M across 1 funding round.
Key people at Mastra.
Mastra was founded in 2024 by Shane Thomas (Founder) and Sam Bhagwat (Founder) and Abhi Aiyer (Founder).
Mastra has raised $13.0M in total across 1 funding round.
Mastra is the easiest way to build a production AI application, built by the team that brought you Gatsby. We provide a complete set of AI primitives: workflows for complex operations, agents for autonomous decisions, RAG for knowledge integration, and evals for quality & accuracy. Mastra is open-source, modular, and built in Typescript for product developers. You can deploy Mastra on any cloud, and it gives you a straightforward syntax to solve the hardest problems building with AI: human-in-the-loop workflows, agent memory and tool selection, and output quality.
Mastra has raised $13.0M across 1 funding round. Most recently, it raised $13.0M Seed in March 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2025 | $13M Seed | — | Greylock, LGF, LombardStreet Ventures, RTP Global, Scale Asia Ventures, Y Combinator | Announced |
Key people at Mastra.
Mastra was founded in 2024 by Shane Thomas (Founder) and Sam Bhagwat (Founder) and Abhi Aiyer (Founder).
Mastra has raised $13.0M in total across 1 funding round.
Mastra's investors include Greylock, LGF, LombardStreet Ventures, RTP Global, Scale Asia Ventures, Y Combinator.
Mastra is an open-source TypeScript framework designed for building AI-powered applications and autonomous agents, created by the team behind the popular Gatsby framework. It provides a comprehensive developer toolkit that spans from early prototyping to production-ready deployment, integrating seamlessly with frontend and backend JavaScript/TypeScript ecosystems such as React, Next.js, and Node.js. Mastra enables developers to build, tune, and scale reliable AI agents that can reason, use tools, manage context and memory, and incorporate human-in-the-loop workflows, all within a modern TypeScript stack[1][2][7].
For an investment firm, Mastra represents a cutting-edge technology platform that accelerates AI application development in JavaScript/TypeScript, a large and growing developer community. Its mission is to empower developers to build sophisticated AI agents without switching ecosystems, fostering innovation in AI tooling. The framework’s investment philosophy likely centers on supporting open-source infrastructure that drives AI adoption and developer productivity. Key sectors impacted include AI software development, developer tools, and cloud-native applications. Mastra’s influence on the startup ecosystem is significant, as it lowers barriers for startups and enterprises to build AI agents for diverse use cases such as automation, customer support, code generation, and data extraction[5][8].
For a portfolio company using Mastra, the product is a developer framework that serves JavaScript and TypeScript developers building AI agents. It solves the problem of complexity in AI agent development, including prompt debugging, tool integration, memory management, and deployment. Mastra’s growth momentum is strong, evidenced by rapid adoption on GitHub (growing from 1,500 to 7,500 stars) and viral interest on Hacker News, with usage by YC companies and others automating workflows and building AI-powered products[5].
Mastra was founded by Sam Bhagwat, Shane, and Abhi, the same team behind Gatsby, the open-source React framework acquired by Netlify. The idea emerged in October 2024 when the founders noticed developers struggling with AI agent development challenges such as debugging prompts, managing tool calls, and handling memory retrieval logic. Leveraging their experience building Gatsby, they started Mastra to create a TypeScript-first framework tailored to the needs of JavaScript developers building AI agents. Early traction came quickly with viral growth on GitHub and Hacker News, validating the demand for a native TypeScript AI framework[3][5][9].
Mastra rides the wave of AI agent frameworks and the broader trend of integrating large language models (LLMs) into developer workflows and applications. The timing is critical as AI adoption accelerates and developers seek tools that fit their existing ecosystems rather than forcing new languages or paradigms. Mastra leverages the massive JavaScript/TypeScript developer base, providing a native, scalable solution that addresses common pain points in AI agent development such as prompt engineering, tool orchestration, and memory management.
Market forces favor frameworks that simplify AI integration while supporting multi-model strategies, and Mastra’s model routing and extensible architecture position it well. Its influence extends to startups and enterprises building AI automation, customer support bots, code generation tools, and more, helping to democratize AI agent development and accelerate innovation across industries[1][5][8].
Mastra is poised to become a leading AI agent framework for JavaScript and TypeScript developers, capitalizing on the growing demand for AI-powered applications and the need for developer-friendly tooling. Future trends shaping its journey include expanding multi-agent workflows, deeper integrations with cloud platforms, enhanced memory and context management, and broader adoption in enterprise AI automation.
As AI models evolve and diversify, Mastra’s unified model routing and extensible architecture will allow developers to leverage the best models for their needs seamlessly. Its open-source nature and strong community momentum suggest it will continue to innovate rapidly, influencing how AI agents are built and deployed in the JavaScript ecosystem and beyond.
In summary, Mastra builds on the Gatsby team’s proven expertise to deliver a modern, scalable, and developer-centric AI framework that is well-positioned to shape the future of AI agent development[3][5][7].
