Blog

Introducing Background Tasks for Mastra Agents

Your agents can now stream progress feedback during long-running tool calls.

Make your Mastra application production-ready with observability storage that scales.

Your agents can now work with remote filesystems like S3, GCS, and Azure.

Give users access to your agent from Slack, Discord, Telegram, and more.

Give agents semantic understanding of your codebase.

Your agents can now browse and take actions on the web, just like you.

A tutorial on building a movie recommendation agent with vector search and Observational Memory — all on a single MongoDB Atlas cluster.

A 7-step playbook for scoping, building, and shipping AI agent prototypes.

A guide to the different deployment models for Mastra Server and Studio with real-world examples of each.

Studio, Server, and Memory Gateway. Everything you need to run your agents at scale.

Mastra raises a $22M Series A led by Spark Capital, bringing total funding to $35M. Plus: the Mastra platform launches today.

Edit agent instructions, tools, and display conditions from Studio with draft/publish versioning, or programmatically through the editor API.