12 Lessons to Get Started Building AI Agents

A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.

Five lessons, learn how to really apply AI to your .NET Applications

C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.

AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

基于.NET8+React实现的企业级智能客服知识库

A new-age AI desktop tool

MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.

🔥 Building composable LLM applications & workflow with Java.

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.

skUnit is a testing tool for AI units, such as IChatClient, MCP Servers and agents.

A collection of C# notebooks to get you started with Semantic Kernel quickly.

Tutorial for ChatGPT + Enterprise Data with Semantic Kernel, OpenAI, and Azure Cognitive Search

A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenAI.

Microsoft Semantic Kernel Assistants This enables the usage of assistants for the Semantic Kernel. It provides different scenarios for the usage of assistants such as: Assistant with Semantic Kernel plugins Multi-Assistant conversation

🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates datasets, databases, visualisations, and analyses.

A sample Chatbot in C# using Microsoft Agent Framework

A multi-agent event planning workflow built with Microsoft Agent Framework - combining Semantic Kernel's enterprise orchestration with AutoGen's multi-agent patterns.

A multi-agent chatroom for AutoGen agents

Some experiments around AI to learn.

A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel

A planner that integrates into Semantic Kernel to enable function calling on all Chat based LLMs (Mistral, Bard, Claude, LLama etc)

A ChatGPT plugin built with Semantic Kernel that queries a database via natural language. Winner of Microsoft's first Semantic Kernel hackathon in the "Most Useful for the Enterprise" category.

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

Some Cool Semantic Kernel Plugins

👩🏻‍🔬🧪SciTonic is a highly adaptive technical operator of agents that can produce complexe analyses on technical data with high performance & on-the-fly . You can ask it what you want and it will respond with quality everytime.

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

Semantic Kernel Connector to DashScope

A collection of Plugins and example console application built on the Semantic Kernel