About Mastra

The startup offers an open-source interactive programming environment for JavaScript and TypeScript, enabling developers to customize, test, and collaboratively debug their code. This platform addresses the challenges of inefficient coding workflows and enhances team collaboration in software development.

```xml <problem> Developing AI applications with JavaScript and TypeScript can be challenging due to the lack of comprehensive tooling and frameworks, especially when compared to Python-centric solutions. This gap hinders frontend and full-stack developers from efficiently prototyping and deploying AI-powered features.</problem> <solution> Mastra is an open-source TypeScript framework designed to streamline the development of AI agents and applications. It provides developers with the necessary primitives to build, test, and deploy AI features, offering a unified interface for interacting with various LLM providers through the Vercel AI SDK. Mastra supports agent memory, tool calling, graph-based workflows, and retrieval-augmented generation (RAG), enabling the creation of robust and reusable AI processes. The framework also includes a local development environment for agent interaction and automated evaluation metrics for assessing LLM outputs.</solution> <features> - Unified API for interacting with LLMs from providers like OpenAI, Anthropic, and Google Gemini via Vercel AI SDK - Agent memory management with options for persistence and retrieval based on recency, semantic similarity, or conversation thread - Graph-based workflow engine for deterministic execution of LLM calls, featuring branching and chaining capabilities - Local agent development environment for real-time interaction and state inspection - Retrieval-augmented generation (RAG) APIs for processing documents, creating embeddings, and querying vector databases (Pinecone, pgvector, etc.) - Automated evaluation metrics for assessing LLM outputs, including toxicity, bias, relevance, and factual accuracy - CLI tool for running agents behind an API, facilitating easy integration into existing projects - Support for structured output using JSON Schema or Zod schemas </features> <target_audience> Mastra is targeted towards JavaScript and TypeScript developers, including frontend, full-stack, and AI engineers, who want to build and deploy AI-powered applications and features efficiently. </target_audience> ```

What does Mastra do?

Where is Mastra located?

Mastra is based in San Francisco, United States.

When was Mastra founded?

Mastra was founded in 2024.

How much funding has Mastra raised?

Mastra has raised 500000.

Location

San Francisco, United States

Founded

2024

Funding

500000

Employees

8 employees

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Mastra

Score: 73/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

mastra.ai 100+

Founded 2024 – San Francisco, United States

Funding

Estimated Funding

$500K+

Team (5+)

Shane Thomas

Building Mastra (YC W25), Previously built Audiofeed

Sam Bhagwat

building mastra (YC W25), the .TS agent framework

Abhi Aiyer

Give me six hours to chop down a tree and I will spend the first four sharpening the ax.

Company Description

Problem

Developing AI applications with JavaScript and TypeScript can be challenging due to the lack of comprehensive tooling and frameworks, especially when compared to Python-centric solutions. This gap hinders frontend and full-stack developers from efficiently prototyping and deploying AI-powered features.

Solution

Mastra is an open-source TypeScript framework designed to streamline the development of AI agents and applications. It provides developers with the necessary primitives to build, test, and deploy AI features, offering a unified interface for interacting with various LLM providers through the Vercel AI SDK. Mastra supports agent memory, tool calling, graph-based workflows, and retrieval-augmented generation (RAG), enabling the creation of robust and reusable AI processes. The framework also includes a local development environment for agent interaction and automated evaluation metrics for assessing LLM outputs.

Features

Unified API for interacting with LLMs from providers like OpenAI, Anthropic, and Google Gemini via Vercel AI SDK

Agent memory management with options for persistence and retrieval based on recency, semantic similarity, or conversation thread

Graph-based workflow engine for deterministic execution of LLM calls, featuring branching and chaining capabilities

Local agent development environment for real-time interaction and state inspection

Retrieval-augmented generation (RAG) APIs for processing documents, creating embeddings, and querying vector databases (Pinecone, pgvector, etc.)

Automated evaluation metrics for assessing LLM outputs, including toxicity, bias, relevance, and factual accuracy

CLI tool for running agents behind an API, facilitating easy integration into existing projects

Support for structured output using JSON Schema or Zod schemas

Target Audience

Mastra is targeted towards JavaScript and TypeScript developers, including frontend, full-stack, and AI engineers, who want to build and deploy AI-powered applications and features efficiently.