Blog — Apr 2025 till Mar 2025
Updates, tutorials, and engineering deep-dives on building AI agents, workflows, and TypeScript tooling with Mastra.
Mastra Changelog 2025-04-02
Mastra's Latest Updates: API routing, memory processors, and more
Mastra Storage: a flexible storage system for AI Applications
A look at how Mastra's storage system simplifies building AI applications by managing workflows, memory, traces, and eval data with flexible storage backends.
Mastra Changelog 2025-03-27
Mastra's Latest Updates: Nested Workflows, Voice to Voice, and more
The Voice Connection: Mastra's Speech-to-Speech Capabilities
We've expanded Mastra Voice with real-time speech-to-speech capabilities for Agents.
Optimizing Mastra for Seamless Edge Deployments
Exploring a recent handful of Mastra optimizations that help it run smoothly on edge functions
Mastra Changelog 2025-03-20
Mastra MCP documentation server, AgentNetwork updates, and more
Introducing Mastra MCP Documentation Server
We built a Mastra MCP documentation server that provides AI assistants and IDE's with direct access to Mastra.ai's complete knowledge base.
Mastra Changelog 2025-03-14
Major workflow enhancements, new Mastra Voice features, and more
Announcing our new book: Principles of Building AI agents
Mastra founder Sam Bhagwat is excited to announce the release of our new book: Principles of Building AI agents. This book is a guide for developers who want to rapidly build AI applications.
AI Beats Laboratory: A Multi-Agent Music Generation System
A demo using Mastra to show how multiple AI agents can work together to generate music
Integrating Mastra with Next.js: Two Approaches for AI-Powered Apps
A comprehensive guide to adding Mastra's agent capabilities to your Next.js applications, with flexible integration options for projects of any size
Why We're All-In on MCP
A deep dive into why Mastra is adopting Model Context Protocol (MCP) for AI tool integration, comparing it with Agents.json and Composio, addressing current limitations in discovery, quality, and configuration, and providing a framework-friendly proposal with practical code examples for implementation.
