Starred repositories
AI agents running research on single-GPU nanochat training automatically
Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.
Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.
Unofficial, minimal CLI for implementing the Ralph Wiggum method using Kiro CLI.
AGENTS.md — a simple, open format for guiding coding agents
A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
CLI toolkit for deploying AI agents to Amazon Bedrock AgentCore. Zero infrastructure management with built-in gateway and memory integrations.
A Python SDK for optimizing prompts for Amazon Nova Models.
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents
Hands-on guidance for AI-accelerated AWS development using AWS MCP Servers. Learn to leverage AI coding assistants to enhance your development workflows with AWS best practices.
A model-driven approach to building AI agents in just a few lines of code.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Amazon Bedrock module for generative AI applications available on the Terraform registry.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
A collection of AWS CDK Python examples with architecture diagrams for frequently used AWS services