Imagine an AI assistant that doesn’t just respond to prompts – it reasons through goals, acts, and integrates with real-time systems. This is the promise of agentic AI. According to Gartner, by 2028...

In this post, we explore Amazon Bedrock AgentCore Memory, a fully managed service that enables AI agents to maintain both immediate and long-term knowledge, transforming one-off conversations into...

Today, we’re officially announcing the AWS Cloud Control API (CCAPI) MCP Server. This MCP server transforms AWS infrastructure management by allowing developers to create, read, update, delete, and...

Released on August 5, 2025, OpenAI’s GPT-OSS models, gpt-oss-20b and gpt-oss-120b, are now available on AWS through Amazon SageMaker AI and Amazon Bedrock. In this post, we walk through the process...

Build responsible AI applications with the first and only solution that delivers up to 99% verification accuracy using sound mathematical logic and formal verification techniques to minimize AI...

Hybrid reasoning models Claude Opus 4.1 and Claude Sonnet 4 bring new and advanced opportunities for agentic AI to AWS customers.

Today, we are excited to announce the availability of Open AI’s new open weight GPT OSS models, gpt-oss-120b and gpt-oss-20b, from OpenAI in Amazon SageMaker JumpStart. With this launch, you can now...

Customers can access advanced open weight models in Amazon Bedrock and Amazon SageMaker AI, bringing together OpenAI and the world’s most comprehensive and broadly adopted cloud.

In this post, we introduce the newly announced Amazon Bedrock AgentCore Browser Tool. We explore why organizations need cloud-based browser automation and the limitations it addresses for FMs that...

In this post, we introduce the Amazon Bedrock AgentCore Code Interpreter, a fully managed service that enables AI agents to securely execute code in isolated sandbox environments. We discuss how the...

In this post, you’ll learn how you can use Amazon Q Developer command line interface (CLI) with Model Context Protocol (MCP) servers integration to modernize a legacy Java Spring Boot application...

In this post, we discuss how to implement a low-code no-code AIOps solution that helps organizations monitor, identify, and troubleshoot operational events while maintaining their security posture....

In this post, we first introduce the Strands Agents SDK and its core features. Then we explore how it integrates with AWS environments for secure, scalable deployments, and how it provides rich...

As a developer who has embraced the power of the Model Context Protocol (MCP)to enhance my workflows, I’m thrilled to see the addition of custom agents in the Amazon Q Developer CLI. This new feature...

In this post, we demonstrate how to create a powerful research assistant for drug discovery using Strands Agents and Amazon Bedrock. This AI assistant can search multiple scientific databases...

In today’s cloud-native world, incident response teams face overwhelming challenges. When critical applications fail, engineers must sift through mountains of observability data across multiple...

At the AWS Summit in New York City, we introduced a comprehensive suite of model customization capabilities for Amazon Nova foundation models. Available as ready-to-use recipes on Amazon SageMaker...

Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration—streamlining develo...

Unlock the power of generative AI with the AWS Generative AI for Developers Professional Certificate. Learn to build smart apps using Amazon Bedrock and Amazon Q Developer, gaining hands-on experie...

In this post, we explore how to use Amazon Q Developer and Model Context Protocol (MCP) servers to streamline DLC workflows to automate creation, execution, and customization of DLC containers.