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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.
Mastra Studio now supports logs, traces, and metrics, so you can understand how your agents behave in production.
Token-aware model routing for observational memory, MongoDB-backed versioned datasets and experiments, Okta SSO auth with RBAC, workflow upgrades, tool suspension handling, and observability improvements.