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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.
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.
Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Semantic Kernel and Azure primitives to offer an engaging and comprehensive introduction to AI-infused app development and deployment
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
skUnit is a testing tool for AI units, such as IChatClient, MCP Servers and SK kernels.
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 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.
Some experiments around AI to learn.
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel