Python CLI toolkit for Amazon Bedrock AgentCore (legacy). For new projects, use the AgentCore CLI: https://github.com/aws/agentcore-cli

This project demonstrates how to use AWS Bedrock with Anthropic Claude and Amazon Nova models to create a web automation assistant with tool use, human-in-the-loop interaction, and vision capabilities.

This project automates the text extraction, transcription and summarization of audio, video, and documents using Amazon Bedrock, Amazon Transcribe, Amazon Textract and other AWS services. You can have a summarization or interactive chat with Amazon Bedrock on a given content. Or why not both together :)

The project implements AI DIAL API for language models from AWS Bedrock

A Python-based AWS solution for automated Jira ticket classification using Amazon Bedrock. This project helps Jira users automate ticket categorization featuring S3 integration, AWS Glue deduplication, LLMs, and Terraform deployment.

Custom AWS CDK Constructs written in Typescript and transpiled to Go and Python using jsii. The project is open-sourced and published to npm package repository and Construct Hub. Using these constructs developers can easily integrate provisioning of Amazon Bedrock Agents and Amazon Knowledge Bases into their infrastructure.

Python project using Amazon Bedrock via AWS SDK (boto3)

This project implements an agentic system for predictive maintenance using MongoDB, AWS Bedrock, LangGraph.js and Next.js.

This project implements a web application using Streamlit (https://streamlit.io/) that integrates AWS Bedrock and Langchain to transform natural language questions into SQL queries, execute them in a PostgreSQL database, and interpret the results.

Supervisor-worker multi-agent framework for AI system development. Orchestrates specialized agents through complete lifecycle: requirements → architecture → engineering → deployment. Supports Cursor IDE, GitHub Copilot, Claude Projects, AWS Bedrock.

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This project demonstrates how to build a generative AI chatbot on AWS using AppSync, Lambda, DynamoDB, Amazon Bedrock, and Terraform.

This project uses AWS Bedrock's Claude 3 Sonnet model to convert hand-drawn UI sketches into working web applications.

In this project I developed a nutrition history-aware chatbot powered by RAG. The chatbot is designed to engage users in discussions about nutrition and gut health. It consists of two applications (ADMIN and USER) deployed using Docker containers for consistency across environments, and leverages AWS services (Bedrock and S3)

This project integrates AWS services to create a natural language interface for querying Amazon Redshift Serverless databases. It utilizes Amazon Bedrock for AI-powered text-to-SQL conversion, AWS Lambda for database operations, and a Streamlit frontend for user interaction. The system is deployed using AWS CloudFormation.

Agente de Optimización de operaciones en la nube con Strands, Bedrock y MCP. This is a demonstration project for AWS Argentina Community Day presentation by David Petrocelli and Facundo Creus

Extremely Simple A.I complete project and code generation for VS Code using AWS Bedrock !

This project is a lightweight multi-agent framework designed to easily build and deploy multi-agent solutions on Amazon Bedrock using AWS CDK (Cloud Development Kit). It provides infrastructure and tooling for developers to create AI-powered agent workflows at scale.

This project leverages AWS Bedrock and Lambda to generate blog posts based on a given topic.

This project creates a Retrieval-Augmented Generation (RAG) chatbot using AWS AI services, specifically Amazon Bedrock. It leverages Knowledge Bases, Agents, and integrates with a Streamlit application for seamless deployment. AWS S3 and IAM services are utilized for file storage and permissions management.

A simple project to play around with AWS Bedrock

Tutorial project: Build and deploy AI agents on AWS Bedrock with custom personalities. Includes a Docker environment, CloudFormation templates, and Python scripts.

Example AWS Bedrock Agent, Knowledge bases and Action Group with Lambda project

This project uses LangGraph and Amazon Bedrock to generate AWS architecture diagrams based on user queries.

AWS Bedrock practice project with RAG implementation using Claude, Knowledge Bases, Guardrails, and Streamlit chat interface

This is an AWS Go SDK v2 sample project for how to use bedrock converse API (tools)

In this project, we will build a practical intelligent document processing system that automatically extracts data from forms, invoices, receipts, contracts, etc. We will utilize Python, Amazon Textract, and AWS-managed Amazon Bedrock.

Udacity CD13926 - Building Generative AI Applications with Amazon Bedrock and Python

This project shows how we create an AWS Bedrock Guardrail for LLM projects using Terraform as IaC (Infrastructure as Code).

This project is to build a customer facing web app that's powered by AWS Bedrock RAG knowledge base