Mastra

TypeScript framework for building production-ready AI applications.

Mastra is an open-source TypeScript framework for building production AI applications, providing developers with composable primitives for agents, multi-step workflows, retrieval-augmented generation (RAG), and evaluations — the core building blocks needed to go from an AI prototype to a reliable production system. Built by the team behind Gatsby, Mastra is designed to feel familiar to JavaScript and TypeScript developers, lowering the barrier to building agentic applications for the large population of developers already working in that ecosystem. It supports multiple LLM providers and can be self-hosted or deployed to Mastra’s cloud. The platform has gained traction among YC batch startups and is positioned for SMBs and mid-market development teams building AI-native products. It differentiates through its TypeScript-native design — most comparable frameworks are Python-first — and its coverage of the full production AI application stack in a single framework.

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Key Features

Agent primitives: Provides built-in abstractions for building AI agents with tool use, memory, and multi-step reasoning, designed to be composable and production-appropriate rather than prototype-grade.
Workflow orchestration: Supports the definition and execution of complex multi-step AI workflows with branching, error handling, and state management — the infrastructure needed to make agents reliable in production.
RAG support: Includes primitives for retrieval-augmented generation, covering document ingestion, embedding, vector storage, and retrieval so teams can build knowledge-grounded AI applications without assembling these components from scratch.
Built-in evaluations: Provides evaluation tooling for testing agent and application behavior, enabling teams to measure quality and catch regressions as they iterate on their AI systems.
Multi-model and provider support: Works with multiple LLM providers, giving teams flexibility in model choice without being locked into the framework’s preferred vendor.
Open-source MIT license: The full framework is freely available and modifiable under the MIT license, with a paid cloud option for teams that want managed hosting.

Use Cases

For TypeScript developers building their first AI agents: A developer or small team already working in TypeScript wants to add agent capabilities to their application without switching to Python or learning a new ecosystem — Mastra provides the primitives they need within the stack they already know.
For startups building AI-native products: An early-stage startup building a product that relies on AI workflows uses Mastra as the framework layer, getting production-grade agent, workflow, and RAG capabilities without building each component from scratch.

Pricing MODELS

Open-source free

Pricing Summary

The Mastra framework is free and open source under the MIT license. A paid cloud option is available for teams that want managed hosting and deployment. Specific cloud pricing is not publicly detailed — teams can self-host at no cost or contact the company for cloud pricing.