Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB

Building an Intelligent AWS Cloud Engineer Agent with Strands Agents SDK

欢迎来到"5分钟上手Strands系列"教程！这是一个专注于提升用户和开发者构建AI Agent能力的系列教程。通过简洁的5分钟教程形式，帮助您快速掌握Strands Agent的设计、开发、集成和部署流程。

A full-stack web application that conducts comprehensive research using multiple specialized AI agents to gather, analyze, and synthesize information from diverse sources into coherent reports.

An agentic AI dashboard app that uses AWS Strands SDK. KubeArmor based least-permissive security is showcased.

The Audited Context Generation (ACG) Protocol prevents AI hallucinations with a dual-layer system. The UGVP layer links every fact to a precise source for verification. The RSVP layer audits the AI's logical reasoning when combining facts. This creates a fully transparent, machine-auditable trail for both source and logical integrity.

It shows how to use AgentCore Runtime based on LangGraph, Strands SDK and Claude Agent SDK with MCP.

It show how to deploy MCP tools using AgentCore.

From Douglas Hofstadter's "Gödel, Escher, Bach" (1979)

A comprehensive cookbook featuring 10 practical AI agent examples using Strands Agents SDK and Amazon Bedrock

End-to-end Intelligent Document Processing (IDP) pipeline using Amazon Bedrock, OpenSearch, Lambda, LangGraph Agents, and Step Functions. Supports multimodal document analysis for PDFs, images, videos, and audio.

Strand-level hair renderer with different kinds of shading methods.

Vulkan-based strand-level hair renderer

Repo from AWS GenAI workshop—build cost-efficient agentic LLM systems using SageMaker, Bedrock, and Strands.

Deepgram speech processing tool for Strands Agents SDK

We made this application for our Thesis subject. The SHS Academic Track Recommendation System is a computer program build with Fuzzy Logic to guide Junior High School students to find the best SHS Track/Strand that fits with their personal preferences and skills.

Agentic AI assistant for proactive AWS Health Event management and impact analysis

This is my attempt to try and create a solution helper for the new NY Times game out in Beta called Strands

CalledIt is a serverless web application that converts natural language predictions into structured, verifiable formats using AI agents. Built on AWS serverless architecture, it provides a robust platform for creating, managing, and validating predictions with intelligent verifiability categorization.

This package provides a Strands-native “cost guard” layer for AI agents, focused on controlling and attributing LLM and tool spend within Strands-based workflows. It enforces budgets and policies at run time while emitting persistent, OpenTelemetry-style metrics so teams can monitor and optimize cost across tenants, strands, and workflows.