Facilitates creating modular specialized agents that coordinate across diverse data types and tools like M365 and Teams to assist multi-disciplinary healthcare workflows—such as cancer care.

This is an AI agent playground to demonstrate different agent orchestration patterns and capabilities

quick way to build a private large language model server and provide OpenAI-compatible interfaces | 快速搭建私有大语言模型（LLM）服务，提供OpenAI兼容接口

Sample for context-aware Agentic RaG, Q&A with multi-source verification, and self-curating knowledge base. Powered by Azure AI Foundry Agent Service, Azure AI Search with agentic retrieval and query rewrite, Semantic Kernel and LangGraph agents running in Azure Container Apps, and ready for Copilot Studio

A generalist agent that can go online and accomplish complex tasks using semantic-kernel and autogen.

🌟EasyAGI : A generalist agent that can go online and accomplish complex tasks.

'Talk to Your Factory' demo leveraging Edge (Azure IoT Operations), Cloud (Microsoft Fabric), and a Factory Agent (Azure OpenAI), to streamline factory operations. It allows real-time, natural language communication with factory systems, helping operators quickly identify issues, boost efficiency, and minimize downtime.

The LLMAgentOps Toolkit is a repository that provides a foundational structure for building LLM Agent-based applications using the Semantic Kernel. It serves as a starting point for data scientists and developers, facilitating experimentation, evaluation, and deployment of LLM Agent-based applications to production.

This project implements an agentic app using Magentic Orchestration from Semantic Kernel deployed on Azure Kubernetes Service. The system receive alerts from Azure Monitor to automatically diagnose and resolve AKS cluster issues, demonstrating how AI agents enhance Kubernetes operations.

An intelligent system that revolutionizes contract management using AI, graph databases, and DocuSign integration. Transform dense legal documents into actionable insights with automated analysis, real-time tracking, and a smart chatbot interface. Built with OpenAI, Neo4j, and FastAPI.

This repository illustrates the usage of Semantic Kernel in building Agents for Beginners

All-in-One AI Playground for LLM, Chat, RAG, Agents, etc.

This repository provides a collection of custom plugins for Microsoft Semantic Kernel, aiming to simplify development, enhance productivity, and enable seamless integration of diverse tools into AI-driven workflows.

Copilot for Windows Security

demonstrate semantic kernel connection to Ollama and Groq

Wordle solver agent using Semantic kernel to prompt Large language models.

A multi-agent restaurant food ordering system using Semantic Kernel, A2A and Azure OpenAI. Includes a backend agent server, customer chat API, and sample UI for natural language food orders. MIT licensed and open for contributions.

This is a Python module used to create a semantic kernel in your OpenAI API compatible chat applications.

Real-time MCP server using Streamable HTTP for AI-powered chatbots and tools.