💫 Toolkit to help you get started with Spec-Driven Development

A community driven registry service for Model Context Protocol (MCP) servers.

Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.

OpenSSF Scorecard - Security health metrics for Open Source

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade archite…

Your trusted generative AI knowledge hub

A command-line interface for interacting with MCP (Model Context Protocol) servers using both stdio and HTTP transport.

Intelligent automation and multi-agent orchestration for Claude Code

Helper tooling for parking PyPI namespaces to combat typosquatting.

The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

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

Start here to get documentation, samples, and the specification for Open Job Description, a flexible open specification for portable render jobs.

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

An orchestrated sub agent dev team powered by claude code

Kiro is an agentic IDE that works alongside you from prototype to production.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Sample implementations of AI Agents and MCP Servers running on AWS Serverless compute

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …

✨ Agentic chat experience in your terminal. Build applications using natural language.

Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Seg…

AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.

Blueprint for running AWS Bedrock Multi-Agent AI collaboration with CDK, Graph DB, Streamlit and LangFuse

Samples using AWS Terraform modules to accelerate your Infrastructure-as-Code deployments for generative AI workloads.

Amazon Bedrock module for generative AI applications available on the Terraform registry.

RAG ingestion pipeline module with Amazon OpenSearch and Bedrock

Backstage is an open framework for building developer portals