An AI agent that searches the web and creates research reports

Ship Agent2Agent in one line of code.

A2A Mastra Demo - Multi-Agent System with Amazon Bedrock

An example Nuxt 4 app using Mastra AI agent framework

Fullstack RAG as a service template

The Deep Research Assistant is meticulously crafted on Mastra's modular, scalable architecture, designed for intelligent orchestration and seamless human-AI interaction. It's built to tackle complex research challenges autonomously.

A cross-platform AI desktop chat cowork app supporting 10+ LLM providers, RAG knowledge base, and MCP tools. Built with Electron + React + Mastra.

A performance insights and knowledge assistant agent built on top of Chrome DevTools internals, Mastra, AI SDK and NextJS

🤖 An AI-powered GitHub README generator built with Mastra framework and Claude. Analyzes repos, reads code, and creates beautiful documentation automatically!

AI-powered travel assistant built with Mastra, TanStack Start, and AI SDK. Features agent networks, real-time streaming, and dynamic UI for tool calls and reasoning.

Agentic GitHub workflows with reminders, PR monitoring, and progress tracking. Includes a Discord bot for notifications. 🚀

An MCP server that exposes local and remote agents across different servers as MCP tools.

Official AI SDK by Ampersand

Open-source AI agent with MCP UI, app builder, A2A protocol, skills marketplace, and multi-provider chat. Built with Mastra. Alternative to OpenClaw.

Open source AI customer support agent

Deploy LLM Mastra agents on AWS

A comprehensive starter template for building AI-powered applications with the Mastra framework. This kit provides everything you need to quickly develop and deploy AI agents and workflows.

mastra template with nextjs + assistant ui

Learn to build AI agents step-by-step with simplicity using Mastra, and deploy them easily on Mastra Cloud

Contains the course materials for Mastra AI courses hosted on DeDevs Skool. By the end of this lesson, you’ll have a functional AI agent with core logic (name, instructions, and model), registered in Mastra for execution. You’ll run it locally using `mastra dev` and interact via an API endpoint to send prompts and receive AI-generated responses.