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Learn how to implement short-term and long-term memory for more intelligent, personalized AI interactions and discover Amazon Bedrock AgentCore's capabilities. In this guide, we dive deep into the world of AI agent memory management, why memory is crucial for creating human-like AI interactions, and how to implement both short-term and long-term memory in your agents. Full Code Example on Github: https://go.aws/4atQ5Mx Follow AWS Developers! 📺 Instagram: https://go.aws/4rRtxMP 🆇 X: https://go.

You don't need the best model to build a great agent—you need a model-driven harness that gets better every time the model does. Learn what agent harnesses are, why they matter, and how to build one using the Strands Agents Framework.We will walk you through a real-world example: building an agent that monitors the OpenAI changelog, classifies updates, searches for duplicate GitHub issues, and automatically files new issues when needed.

Amazon EC2 Mac instances enable customers to run on-demand macOS workloads in the cloud for the first time, extending the flexibility, scalability, and cost benefits of AWS to all Apple developers. With EC2 Mac instances, developers creating apps for iPhone, iPad, Mac, Apple Watch, Apple TV, and Safari can provision and access macOS environments within minutes, dynamically scale capacity as needed, and benefit from AWS’s pay-as-you-go pricing. Learn more about Amazon EC2 Mac: https://go.

Learn how to build real AI applications using Amazon Bedrock from scratch! This tutorial covers everything from basic API calls to advanced AI agents with RAG, tool use, and guardrails. Perfect for developers moving from AI user to AI builder. Github Repo: https://go.aws/4tKvhbr Follow AWS Developers! 🆇 X: https://go.aws/4tKvhIt 💼 LinkedIn: https://go.aws/4tKvjjz 0:00 Introduction to Amazon Bedrock 1:01 What is Amazon Bedrock?

Learn more about Strands Agents: https://aws.amazon.com/blogs/opensource/introducing-strands-agents-an-open-source-ai-agents-sdk/?trk=4db675d3-97dd-4003-b0c1-b8d65e02b1c3&sc_channel=sm In this video, we dive deep into the Model Context Protocol (MCP) and explore how to integrate MCP tools with Strands Agents. We start by demonstrating a locally hosted MCP server that provides a simple dice rolling tool.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/sqs-queue-access-permissions The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Tom shows you how to grant access to an Amazon Simple Queue Service (SQS).

In this episode of “AWS Show and Tell”, learn how to securely launch and scale your agents and tools on Amazon Bedrock AgentCore Runtime. You will learn about enterprise ready features of AgentCore runtime such as the ability to use any Agentic framework, Session level isolation, Async and long running agents or tools, support for MCP servers, working with large and multi-modal payloads, all while paying only for the resources you use. - Amazon Bedrock AgentCore samples: https://github.

Learn how to build and deploy AI agents to production using AWS Bedrock Agent Core and Strands Agents. Using Kiro for development, follow along as we demonstrate agent building, chain-of-thought prompting, and production deployment best practices. Explore Amazon Bedrock Agents 👉 https://go.aws/47NHsvZ Resources: Strands Agents: https://go.aws/4ofh1oN AWS Bedrock Agent Core: https://go.aws/43F7LSD Follow AWS Developers! 📺 Instagram: https://go.aws/4olJSrM 🆇 X: https://go.

Amazon Quick Automate, a capability of Amazon Quick Suite, transforms the way enterprises create and maintain complex automations at scale. Users can build sophisticated automations using just natural language instructions or existing documentation. Specialized AI agents collaborate to execute automations, handling everything from UI interactions to application integrations.

Tired of AI agents stuck in prototype? AgentCore provides fully-managed services to deploy & scale securely your AI agents from proof-of-concept to production-ready applications - no more heavy lifting of building complex infrastructure. ⚡️Why AgentCore? • Faster time to value: Accelerate from prototype to production with fully-managed services that eliminate infrastructure complexity, bringing groundbreaking agentic solutions to market faster.

In this session, we will walk through the architecture for the Amazon DynamoDB DNS management system that triggered the service disruption on October 20, 2025. We will share the lessons that the DynamoDB team learned from this event and explain how we are using these insights to improve both DynamoDB and AWS. You will walk away with actionable knowledge that you can apply to the systems you build. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

In this episode of "AWS Show and Tell", discover how to revolutionize your enterprise AI agent development with Amazon Bedrock AgentCore Gateway. Learn how to centralize and simplify tool management while maintaining enterprise-grade security. We'll demonstrate Gateway's key capabilities including zero-code MCP tool creation from existing APIs, intelligent tool discovery with semantic search, and comprehensive security controls with dual-sided authentication.