AgentCore

AWS has published a technical implementation guide for automating healthcare claims processing using Amazon Bedrock Data Automation and Amazon Bedrock AgentCore. The pipeline extracts data from CMS-1500 claim forms, validates against AWS HealthLake records, and generates FHIR-compliant claim resources with automated notifications.

AWS published a technical guide for building voice appointment agents using Amazon Nova 2 Sonic, a speech-to-speech model that processes audio natively without separate transcription steps. The tutorial covers authentication, scheduling, and escalation tools running on Amazon Bedrock AgentCore with DynamoDB persistence.

Amazon Web Services launched Web Search on Amazon Bedrock AgentCore, a fully managed web search capability that gives AI agents access to tens of billions of documents without requiring external search APIs. The service, now generally available, runs entirely within AWS infrastructure and refreshes its index within minutes of new content appearing online.

Amazon Web Services made its AgentCore harness generally available, reducing production AI agent deployment to two API calls: CreateHarness and InvokeHarness. The managed service handles sandboxed execution, memory, tool integration, and observability, eliminating infrastructure setup for teams building LLM agents.

Amazon Web Services has released new capabilities for Bedrock AgentCore, its platform for building AI agents. The update includes a managed knowledge base that handles vector storage and retrieval across enterprise data sources, native web search using Amazon's Alexa infrastructure, and a payment system enabling agents to access paid content and APIs.

AWS has launched LangChain Deep Agents, an orchestration framework that spawns isolated subagents using Amazon Bedrock AgentCore infrastructure. AgentCore provides dedicated browser MicroVMs running Chromium via Playwright and full Python environments with pre-installed data science libraries, enabling parallel agent execution without context window competition.

Amazon Web Services has launched AgentCore Runtime on Bedrock, providing dedicated Linux microVMs with persistent 14-day storage for coding agents. The service eliminates the need to keep laptops open during agent sessions and supports parallel execution of Claude Code, Codex, Kiro, OpenCode, and other coding agents with isolated environments.

AWS has launched Amazon Bedrock AgentCore, a serverless runtime environment for deploying production AI agents. Turkish fulfillment company OPLOG demonstrated the platform's capabilities by building three business intelligence agents using Anthropic's Claude Sonnet, achieving a 35% reduction in sales cycles and 98% reduction in manual research time.

Amazon Bedrock AgentCore Browser now supports Chrome enterprise policies and custom root CA certificates, giving organizations control over 450+ browser settings for AI agents. The feature enables URL filtering, download restrictions, password manager controls, and connectivity to internal services through custom certificate authorities.

AWS announced Amazon Bedrock AgentCore Payments (preview), enabling AI agents to autonomously discover and pay for APIs, web content, MCP servers, and other agents. Built with Coinbase and Stripe, the service supports micropayments through the x402 protocol with per-session spending limits and full transaction observability.

AWS announced OS Level Actions for Amazon Bedrock AgentCore Browser, extending agent automation beyond the browser's Document Object Model to interact with native operating system UI. The feature enables agents to control system dialogs, security prompts, and context menus through direct mouse and keyboard commands at the OS level.

Amazon Web Services released AgentCore Optimization in preview, introducing an automated performance loop that generates configuration recommendations from production traces, validates them through batch evaluation and A/B testing, and enables continuous agent optimization. The system targets the quality drift problem where AI agents degrade as models evolve and user behavior shifts.

Amazon Bedrock AgentCore Runtime now offers managed session storage to persist agent filesystem state across stop/resume cycles and InvokeAgentRuntimeCommand for executing shell commands directly within agent microVMs. The features address two core challenges in production agent workflows: ephemeral filesystems that reset between sessions and the inability to execute deterministic operations without routing them through LLMs.