foundry-local

18 Lessons to Get Started Building AI Agents

Open Chat Playground (OCP) is a web UI that is able to connect virtually any LLM from any platform.

Visual, demo-ready multi-agent orchestration patterns powered by Foundry Local and Microsoft Agent Framework. Six runnable demos with live D3.js graph animations, real-time message tracing, and event replay

Fine-Tune End-to-End Distillation Models with Azure AI Foundry Models and Foundry Local

Agent Engineering experiment, practices, codes, specs...

Foundry Local is an on-device AI inference solution that you use to run AI models locally through a CLI, SDK, or REST API

How Microsoft Agent Framework can orchestrate multiple specialised agents locally using Foundry Local How a coding agent can generate and execute a standalone Python application as part of an agent workflow How you can use tool calling with model which support tooling How planner and reviewer agents can be composed

A secure, on-device document analysis tool using Foundry Local & Microsoft Agent Framework

Demos and sample code for building AI-powered apps with local on-device models on Windows — using Windows AI APIs, Foundry Local, Windows ML, and WebNN. From Microsoft Build 2026.

This provides sample codes that uses Microsoft.Extensions.AI for locally running LLMs through Docker Model Runner, Foundry Local, Hugging Face and Ollama

Local-first .NET 10 sample integrating Microsoft Agent Framework with Foundry Local through a Microsoft.Extensions.AI IChatClient adapter.

Task management for AI coding agents — and the humans who use them. No cloud, no subscription.

A 90-minute hands-on workshop for building fully offline MCP agents on Windows with FastMCP 4, Foundry Local, and a CPU-optimized Qwen model

.NET is also capable of building AI infused app really easily. This repository provides several sample apps using Microsoft.Extensions.AI, Azure AI Foundry, Foundry Local and MCP server/client.

Give a local model one bounded job. Keep the final decision in Copilot.

Generate comprehensive onboarding documentation for any repository using a hybrid AI approach: Foundry Local for privacy-sensitive local inference (no data leaves your machine) Microsoft Foundry for cloud-hosted models with higher quality and faster inference Copilot SDK patterns for orchestration and multi-step workflows Agent Skills for reusable

Windows systray monitor for Foundry Local — real-time AI model load/unload notifications, mini status window, published as a .NET global tool

A local RAG document analysis assistant powered by Microsoft Foundry Local. Developed for the Microsoft AI Innovators Summer Internship Program.