TypeScript AI agent framework and platform
Mastra
Mastra builds an open-source core framework in TypeScript and an accompanying platform for developers creating AI agents, customer support tools, internal assistants, and workflow automation. It combines typed agents, tools, memory, and workflows with evaluation and tracing. Mastra Studio provides cloud-based or self-hosted evaluation and observability, Mastra Server deploys agents and workflows, and Memory Gateway supplies agent memory across frameworks. Developers can integrate Mastra into React, Next.js, and Node applications or deploy it as a standalone server.
Founded in 2024 by Sam Bhagwat, Abhi Aiyer, and Shane Thomas, Mastra grew out of the team's work on Gatsby. Bhagwat is CEO, Aiyer is CTO, and Thomas is Chief Product Officer. Its Observational Memory system uses background Observer and Reflector agents to compress conversation history into a structured observation log. This maintains context that can be cached across turns without retrieving and injecting memories for each new prompt.
In 2026, the company reported that Marsh McLennan's Mastra-built enterprise search served more than 100,000 people daily, illustrating the scale of one customer deployment. Mastra raised a $22 million Series A led by Spark Capital in 2026, bringing total funding to $35 million.
Topics these talks cover
2 talks
Newest first1 speaker at AIE
Affiliations reflect their AIE appearances, not necessarily current employment.
Company sources · checked 2026-08-27
- TypeScript AI Framework for Agents and Apps | Mastra
- About Mastra: The Team Behind the TypeScript Agent Framework | Mastra
- Mastra Blog: AI Agents, Workflows, and TypeScript Engineering | Mastra
- We raised a $22M Series A to help every developer build agents
- Announcing our $13m seed round from YC, pg, Gradient, Amjad, Guillermo, Balaji, and 120+ others
- Observational Memory: 95% on LongMemEval | Mastra Research
- INCIDENT REPORT: 2026-06-16: Mastra hit by supply-chain attack

