Semantic Kernel agents

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

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.

A sample Chatbot in C# using Microsoft Agent Framework

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

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

Powerful tool designed to generate SQL queries from natural language (NL2SQL) using Microsoft’s Semantic Kernel framework. This project aims to bridge the gap between human-readable queries and SQL, enabling easy and efficient database interactions with AI-driven language models.

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

Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire

Learn how to build effective LLM-based applications with Semantic Kernel in C#

Exposes Azure DevOps functionality via MCP: Boards, Repos, Pipelines, Artifacts, Test Plans, and Wiki tools for AI agents.

🍔 An AI restaurant agent demonstrating the RAG pattern using Semantic Kernel for orchestration and Qdrant for vector memory.

This repository is the official companion for the Azure AI Foundry Agent Service Webinar Series. It provides hands-on code samples, modular use cases, and practical guides for building, deploying, and scaling AI agents on Azure.

RAG implementation using Microsoft Semantic Kernel and .NET

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

Semantic search and RAG summarization in local PDF book collection with .NET (Semantic Kernel) / QDrant and Ollama.

A service for automating document ingestion for Semantic Kernel's KernelMemory service

AgenticNET is an open-source, Azure-native platform for building, deploying and operating enterprise AI applications with .NET. It combines intelligent routing, RAG, reviewer loops, infrastructure automation and full decision traceability into a single production-ready platform.

This project is a Recipe Builder solution that leverages Semantic Kernel and agentic AI. It includes multiple agents: the Recipe Builder Agent, the Vegan Substitution Agent, and the Gluten-Free Substitution Agent.

Production-grade AI agents, RAG systems, and autonomous model-agnostic workflows using .NET 10, Microsoft.Extensions.AI, and Semantic Kernel. Features dynamic dual-engine routing (Gemini & Groq/Llama), structured JSON enforcement, and an Angular 19 cyber-dashboard UI.

Next-gen Agentic AI Intent to Task Orchestrator powered by the SEAG framework. This unified governance platform delivers enterprise-grade orchestration, transforming any intent into tasks across users, apps, systems, agents, tools, models, or gateways. Supports seamless integration of all query sources for precise, scalable ITT workflows.

GenAI IT Ops Chat Solution

Materials for a workshop on Semantic Kernel, Kernel Memory, and Microsoft Extensions AI

In-depth demonstration of C# Semantic Kernel SQLiteVec Hybrid Search Tutorial - Audio Guide

An AI Expert for your C# Codebase

Professional AI consultancy toolkit with case studies, templates, and reference implementations

4th.GRC — A policy-driven Agentic AI governance and orchestration platform integrating PolicyEngine, Skill Registry, RAG Safety Envelopes, Constraint Evaluators, and evidence-based compliance automation.

Semantic Kernel A2A protocol and A2A Discovery Service Example

Bizy is the first rules and logic layer that machines, engineers and business stakeholders can directly configure and understand.

AOAI Chat API that leverages RAG Semantic + Vector with Intent

Just some initial learning for usage of AI models within .NET platform with Semantic Kernel APIs