Mastra is a TypeScript framework for building AI agents, workflows, memory, evaluations, and AI-powered applications.

Who should use Mastra?

Mastra is best for TypeScript developers, startups, and engineering teams building production AI agents or AI-native products.

Can Mastra build AI agents?

Yes. Mastra provides agent primitives, tools, workflows, memory, model integrations, and related infrastructure for building agents.

Is Mastra open source?

Yes. Mastra provides an open-source framework, with hosted and commercial capabilities available for teams that need managed infrastructure.

What language does Mastra use?

Mastra is designed around TypeScript and the modern JavaScript ecosystem, making it a natural fit for web application teams.

What should teams consider before using Mastra?

Review model costs, deployment needs, observability, evaluation requirements, framework maturity, and how much control the team wants over agent infrastructure.

Mastra

TypeScript framework for building AI agents, workflows, memory, and evals.

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What is Mastra?

TL;DR

Mastra is a TypeScript framework for building AI agents and agent-powered applications, with workflows, memory, evaluations, observability, model integrations, and deployment tooling for modern developers and AI teams.

Build AI agents with TypeScript
Supports workflows, memory, evals, and observability
Deploy and manage agent applications

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About

Mastra is a TypeScript framework for building AI agents and agent-powered applications. It gives developers a structured way to build agents, workflows, memory systems, evaluation loops, observability, and deployment pipelines without stitching together every piece manually. The product is especially useful for JavaScript and TypeScript developers who want to build real AI products rather than one-off demos. Mastra supports agent logic, workflow orchestration, model integrations, persistent memory, tool usage, and evaluation workflows. This makes it relevant for SaaS founders, automation builders, and engineering teams creating internal copilots, support agents, research workflows, coding tools, or product features powered by LLMs. Mastra also offers hosted infrastructure and team features around the open-source framework. Builders can start locally with the framework, then use hosted tools for managing deployments, observability, and collaboration as projects become more serious. For FutureStack, Mastra fits well in AI Agents and Developer Tools. It is a strong addition because it targets the exact audience FutureStack wants: developers and founders building AI-native products. Instead of being a consumer chatbot, Mastra is infrastructure for creating agent systems with code, making it highly relevant for technical SaaS builders.

Use Cases

AI Agent Development

Build production AI agents in TypeScript with tools, memory, model integrations, and structured behavior.

Workflow Orchestration

Create multi-step workflows that combine deterministic logic with AI reasoning and tool execution.

Agent Evaluation

Test agent behavior and quality with evaluation workflows before and after production changes.

AI Product Backend

Use Mastra as the application layer behind copilots, research tools, automation systems, and agent-powered SaaS features.

Key Features

Build AI agents with TypeScript
Supports workflows, memory, evals, and observability
Deploy and manage agent applications
Open-source framework with hosted team plans

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