The Mastra blog

Updates, tutorials, and engineering deep-dives on building AI agents, workflows, and TypeScript tooling with Mastra.

All Posts Announcements Features Examples Foundations

Introducing the Feedback API Endpoint for Mastra Observability

Query feedback by region, environment, thread and source.

Introducing Incident Alerts for Mastra Platform

Real-time updates for failed deploys and crashed services.

Introducing Error Diagnosis for Mastra Platform and CLI

Diagnose and fix failed deploys with helpful recommendations.

Introducing Server Health for Mastra Platform

Monitor server requests and inspect by path, status, or latency.

Introducing Filesystem Skills for Mastra Workspaces

Reusable skills for multi-agent systems.

Introducing Filesystem Search for Mastra Workspaces

Find relevant content by keyword, semantic-similarity, or both.

Announcing Mastra Factory Beta

How we learned to stop worrying and let the agents ship

# announcements

Introducing Filesystem Mounts for Mastra Workspaces

Read and write to multiple filesystems using the same file interface.

Remote Filesystem Support for Mastra Agents

Give your agents access to filesystems your team already use.

Introducing Sandbox Lifecycle Controls in Mastra

Control, status, hooks, persistence, and background processes.

Introducing Sandbox Computer Use for Mastra Agents

Give your agents a computer to use, just like you do.

Introducing Harness Channels

Run a multi-player harness from Slack, iMessage, WhatsApp, Discord, and more.

Ship better agents

Create a new Mastra project. Mastra is a framework for AI applications and agents on a modern TypeScript stack. Before running the command, ask these questions one at a time and wait for each answer unless it was already provided:

Project name? (default: "my-mastra-app")
Provider? (required; options: "openai", "anthropic", "google", "xai")
If the provider isn't supported, ask again and list the supported values.

Run: `npm create mastra@latest <project-name> -- --llm <provider>`

The command creates a default Mastra project, installs Mastra skills for detected coding assistants, and initializes Git when appropriate.

After creation, enter the project directory and start the dev server: `npx bgproc start -n <project-name> -w -- npm run dev`

Open Mastra Studio at `http://localhost:4111`. Studio is the interface for building, testing, and managing agents, workflows, and tools.

Also mention that the Mastra model router provides access to thousands of models: https://mastra.ai/models