Introduction
Mastra is an opinionated Typescript framework that helps you build AI applications and features quickly. It gives you the set of primitives you need: workflows, agents, RAG, integrations, syncs and evals. You can run Mastra on your local machine, or deploy to a serverless cloud.
The main Mastra features are:
| Features | Description |
|---|---|
| LLM Models | Mastra supports a variety of LLM providers, including OpenAI, Anthropic, Google Gemini. |
| Agents | Agents are systems where the language model chooses a sequence of actions. |
| Tools | Tools are typed functions that can be executed by agents or workflows, with built-in integration access and parameter validation. |
| Workflows | Workflows are durable graph-based state machines with built-in tracing. They can execute complex sequences of LLM operations. |
| RAG | Retrieval-augemented generation (RAG) lets you construct a knowledge base for your agents. |
| Integrations & Syncs | In Mastra, syncs are async functions that can be deployed as background tasks. Integrations are auto-generated, type-safe API clients for third-party services. |
| Evals | Evals are automated tests that evaluate LLM outputs using model-graded, rule-based, and statistical methods. |