A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

Integrate cutting-edge LLM technology quickly and easily into your apps

Microsoft Agent Framework Workshop

Natural Language Web

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?

Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…

Python version of "How to Build an Agent" by Thorsten Ball

A versatile tool designed to help prototype intelligent assistants, agents and multi-agentic systems

Memory Pipeline for Semantic Kernel Agents

Custom chatMode.md personas for GitHub Copilot — specialize your VS Code with AI assistants for testing, security, clean‑code refactoring, dashboards, prompt design, and more. Just drop in and sele…

A repository of code samples for Vector search capabilities in Azure Cognitive Search.

Awesome Copilot Instructions

Examples and tutorials to help developers build AI systems

A collection of production-ready subagents for Claude Code

Solution accelerator built on Azure OpenAI Service and Azure AI Document Intelligence to process and extract summaries, entities, and metadata from unstructured, multi-modal documents and enable se…

Embedding-driven, context-aware text chunking for Semantic Kernel and RAG workflows in .NET

Sample code that explores an architecture for using language models to build a personal agent that can work with application agents.

A list of GitHub Copilot assets, such as prompt files, chat modes, MCP servers and methods collected in one place.

An Azure AI Foundry Agent demo for a Payroll Chat Agent

A comprehensive set of samples of creating and using MCP servers and clients with .NET

workshop materials to build intelligent solutions on Open AI