Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB
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Updated
Oct 21, 2025 - Python
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
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.
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.
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.
Experimental: Strands Agents running on BitChat
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.
🤖 Production-ready samples for building multi-modal AI agents that understand images, documents, videos, and text using Amazon Bedrock and Strands Agents. Features Claude integration, MCP tools, streaming responses, and enterprise-grade architecture.
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.
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.
Building an AI Dining Assistant in 30 Minutes: From Local Development to Cloud Deployment
AWS-powered hotel booking multi-agent assistant built with Strands Agents, Amazon Bedrock AgentCore, A2A protocol, MCP, Bedrock Knowledge Base, serverless Lambda integrations, and AWS CDK. Provides natural-language hotel search, price discovery, booking, and policy advisory.
Agentic tools that enable AI agents to autonomously deploy, manage, and monitor themselves on AWS Bedrock AgentCore
Amazon Bedrock Knowledge Base RAG Chatbot with ReAct pattern
AI agent that can search Spotify and play songs
Temporal + Strands demo for GenAI powered loan underwriter
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