Mastra
TypeScript agent framework with observability, evals, and cloud deployment, from the creators of Gatsby
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mastra.aiAbout Mastra
Mastra is a TypeScript framework for building AI agents and the applications around them, built by the team that previously created Gatsby. The core framework covers agents, tools, and workflows as first-class primitives, so a long-running agent is expressed in ordinary TypeScript rather than assembled from prompt strings and glue code. Around that framework sits a platform: observability with metrics, logs, and traces so agent runs are inspectable after the fact; evals, experiments, scorers, and datasets for measuring whether a change actually improved behavior; a Studio for collaborating on and iterating over agents; an Agent Builder; and a Server product that handles cloud deployment for agents. The company emphasizes agents that run for days rather than single-turn calls, which is what pushes the observability and scoring surface to the center of the product instead of leaving it as an add-on. Mastra is open source with roughly 26.7k GitHub stars and maintains a substantial learning surface — a quickstart, project templates, a video course, two books (Principles of Building AI Agents and Patterns of Building AI Agents), live workshops, and a weekly podcast — which makes it one of the more approachable entry points for JavaScript developers moving into agent work.
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Key Features
Mastra Pros & Cons
✅ Pros
- +Native TypeScript rather than a Python port
- +Observability and evals ship with the framework, not bolted on
- +Unusually strong documentation and teaching material
⚠️ Cons
- −Hosted tier prices are not readable without JavaScript
- −TypeScript-only, so Python-first ML teams will look elsewhere
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