mastra

# Mastra [](https://www.npmjs.com/package/@mastra/core)   [](https://x.com/mastra_ai) [](https://www.npmjs.com/package/@mastra/core)  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 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 uses the [Vercel AI SDK](https://sdk.vercel.ai/docs/introduction) for model routing, providing a unified interface to interact with any LLM provider including OpenAI, Anthropic, and Google Gemini. You can choose the specific model and provider, and decide whether to stream the response. | | [Agents](https://mastra.ai/docs/agents/overview) | Agents are systems where the language model chooses a sequence of actions. In Mastra, agents provide LLM models with tools, workflows, and synced data. Agents can call your own functions or APIs of third-party integrations and access knowledge bases you build. | | [Tools](https://mastra.ai/docs/agents/adding-tools) | Tools are typed functions that can be executed by agents or workflows, with built-in integration access and parameter validation. Each tool has a schema that defines its inputs, an executor function that implements its logic, and access to configured integrations. | | [Workflows](https://mastra.ai/docs/workflows/overview) | Workflows are durable graph-based state machines. They have loops, branching, wait for human input, embed other workflows, do error handling, retries, parsing and so on. They can be built in code or with a visual editor. Each step in a workflow has built-in OpenTelemetry tracing. | | [RAG](https://mastra.ai/docs/rag/overview) | Retrieval-augemented generation (RAG) lets you construct a knowledge base for agents. RAG is an ETL pipeline with specific querying techniques, including chunking, embedding, and vector search. | | [Integrations](https://mastra.ai/docs/integrations) | In Mastra, integrations are auto-generated, type-safe API clients for third-party services that can be used as tools for agents or steps in workflows. | | [Evals](https://mastra.ai/docs/08-running-evals) | Evals are automated tests that evaluate LLM outputs using model-graded, rule-based, and statistical methods. Each eval returns a normalized score between 0-1 that can be logged and compared. Evals can be customized with your own prompts and scoring functions. | ## Quick Start ### Prerequisites - Node.js (v20.0+) ## Get an LLM provider API key If you don't have an API key for an LLM provider, you can get one from the following services: - [OpenAI](https://platform.openai.com/) - [Anthropic](https://console.anthropic.com/settings/keys) - [Google Gemini](https://ai.google.dev/gemini-api/docs) - [Groq](https://console.groq.com/docs/overview) - [Cerebras](https://inference-docs.cerebras.ai/introduction) If you don't have an account with these providers, you can sign up and get an API key. Anthropic require a credit card to get an API key. Some OpenAI models and Gemini do not and have a generous free tier for its API. ## Create a new project The easiest way to get started with Mastra is by using `create-mastra`. This CLI tool enables you to quickly start building a new Mastra application, with everything set up for you. ```bash npx create-mastra@latest ``` ### Run the script Finally, run `mastra dev` to open the Mastra playground. ```bash copy npm run dev ``` If you're using Anthropic, set the `ANTHROPIC_API_KEY`. If you're using Gemini, set the `GOOGLE_GENERATIVE_AI_API_KEY`. ## Contributing Looking to contribute? All types of help are appreciated, from coding to testing and feature specification. If you are a developer and would like to contribute with code, please open an issue to discuss before opening a Pull Request. Information about the project setup can be found in the [development documentation](./DEVELOPMENT.md) ## Support We have an [open community Discord](https://discord.gg/BTYqqHKUrf). Come and say hello and let us know if you have any questions or need any help getting things running. It's also super helpful if you leave the project a star here at the [top of the page](https://github.com/mastra-ai/mastra)