AI

Amazon Bedrock AgentCore harness is now generally available: Go from idea to production-grade agent in minutes

A year ago, Simon Willison wrote one of the cleanest definitions of an agent that has stuck around: An LLM agent runs tools in a loop to achieve a goal. That definition stuck because it describes what every production agent actually does. Kiro, Amazon Q Developer, Quick Agents, Codex, Claude Code: under the hood, they […]

Amazon Bedrock AgentCore harness is now generally available: Go from idea to production-grade agent in minutes Read More »

MIT in the media: For the future of tech, “Massachusetts can absolutely lead”

On June 9, The Boston Globe released its 2026 “Tech Power Players” list, recognizing 50 influential local leaders in technology and business across Massachusetts. The list includes eight MIT affiliates including President Sally Kornbluth, Prof. Daniela Rus (director of CSAIL), Prof. Regina Barzilay, Prof. Yet-Ming Chiang, Prof. Max Tegmark, Ana Bakshi (executive director of the Martin

MIT in the media: For the future of tech, “Massachusetts can absolutely lead” Read More »

Amazon SageMaker AI Async Inference now supports inline request payloads

Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inference. Customers can now send inference payloads directly in the request body of the InvokeEndpointAsync API, removing the need to upload input data to Amazon Simple Storage Service (Amazon S3) before each invocation. For payloads up to 128,000 bytes, this removes an entire network

Amazon SageMaker AI Async Inference now supports inline request payloads Read More »

Get back hours every day with autonomous agents in Amazon Quick

What if you came back from a full day of meetings and the busywork was already done? Stalled deals followed up on. Compliance changes summarized. Meeting prep written. Not because you multi-tasked, but because something was working in the background while you focused on other urgent priorities. Teams are already using Amazon Quick — an AI assistant that connects to your most-used apps

Get back hours every day with autonomous agents in Amazon Quick Read More »

Context intelligence for your data and AI agents at scale

Agents are only as intelligent as the context they can reason over. Today, that context is scattered across data lakes, data warehouses, lakehouses, databases, and streams, and in institutional knowledge that has never been written down. You want to trust the decisions made by your AI agents, but that can’t happen until agents have context. Imagine what becomes possible

Context intelligence for your data and AI agents at scale Read More »