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

Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.

A full-stack AI chat application powered by Amazon Bedrock and Strands Agents

Experimental: MLX model provider for Strands Agents - Build, train, and deploy AI agents on Apple Silicon.

Minimalist AI agent that fixes itself when things break.

This is a One Shot Course on Strands Agents with Notebooks, Scripts, resources and Projects to take you from Zero To Hero in Strands Agents SDK usage in your Agentic AI Journey

Cloud serverless implementations of AWS Strands Agents.

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.

Inspired by Tony Stark's robotic assistant Dum-E, the mission of this project is to create an intelligent, voice & vision enabled AI agent with robotic arm(s) capable of real-time human interaction, physical operations, and orchestration of a wide range of tools and services.

A Python-based agent that scans Gmail for bug tickets, classifies them by department using contextual analysis, and automatically routes each ticket to the appropriate team.

A Durable Execution for AI Agent built with Strands Agents and Temporal

Experimental: Robot control for Strands Agents.

Build production-ready AI agents with the Strands Agents SDK and AWS services. This repository demonstrates how you can create multi-modal systems with persistent memory in minimal code. Progress from your first agent to production-ready systems through hands-on chapters.

Experimental: Strands Agents running on BitChat

A comprehensive advanced course for building production-ready AI agents using the Strands Agents SDK. This repository contains 6 progressive labs that teach advanced capabilities including tool integration, memory persistence, Model Context Protocol (MCP), and comprehensive observability.

Experimental: Bidirectional MCP integration for Strands Agents.

This guidance demonstrates how to deploy a comprehensive agentic application for advertising workflows using Amazon Bedrock AgentCore. The solution showcases advanced multi-agent collaboration across the entire advertising value chain - from strategic media planning and audience targeting to real-time bid optimization and publisher revenue manageme

Agentic tools that enable AI agents to autonomously deploy, manage, and monitor themselves on AWS Bedrock AgentCore

The Fraud Investigator Assistant shows how AWS Bedrock, MCP servers, and Strands expert agents can transform fraud investigations. By combining private MCP servers for secure data with open-source MCPs for public intelligence, it speeds up case analysis and ensures compliance, reducing investigation timelines significantly.