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This article describes a reference RAG agent implementation using Mastra and Elasticsearch vector store, demonstrated on a corpus of 500 sci-fi movies, with the agent built in approximately 60 lines of TypeScript.
They built a reference implementation of an end-to-end agent workflow in TypeScript using Mastra, featuring 6 scoped agents, an orchestrator, and 3 feedback loops for automating code generation, validation, and monitoring tasks.
The author describes using Mastra's new preview deployment feature to let their coding agent automatically deploy changes to a sandbox, test them via API and UI, and then open a PR, closing the verification gap.
Mastra released file-based agents allowing developers to define agents on the filesystem and immediately use them in the Agent Studio GUI, eliminating glue code and simplifying sharing.
Mastra has launched Durable Agents, which persist streams in real-time using server cache to survive client disconnects, browser refreshes, and network blips.
Mastra released a course for beginners to build an AI agent with TypeScript, covering project structure, tools, MCP, memory, and deployment.