AI Dev Gallery - AI Developer Tools Tool

Overview

AI Dev Gallery is an open-source Microsoft project that helps Windows developers explore, prototype, and integrate on-device AI into real applications. The app is built with WinUI/WinApp SDK and C#, and it packages more than 25 interactive samples that demonstrate common AI scenarios—RAG (retrieval-augmented generation), chat interfaces, object detection, Stable Diffusion image generation, speech-to-text/text-to-speech, semantic search, and document summarization. Each sample runs locally (CPU/GPU/optional NPU) and can be inspected or exported as a standalone Visual Studio project so developers can copy patterns directly into production apps. ([github.com](https://github.com/microsoft/ai-dev-gallery)) The Gallery simplifies model discovery and onboarding by letting developers browse and download models from Hugging Face and GitHub, caching them locally to run samples offline. It is explicitly designed as a learning and prototyping surface: you can view the C# source for every sample, export a sample into a new solution, and experiment with different model backends (ONNX/ONNX GenAI, Microsoft.Extensions.AI abstractions). The project is in public preview and targets Windows 10+ (x64 and ARM64), with recommended hardware guidance for RAM, disk, and GPU VRAM for local inference. ([github.com](https://github.com/microsoft/ai-dev-gallery))

GitHub Statistics

• Stars: 1,385
• Forks: 201
• Contributors: 30
• License: MIT
• Primary Language: C#
• Last Updated: 2026-01-14T06:34:50Z

The repository is actively maintained by Microsoft and shows healthy community interest: the GitHub project lists ~1.4k stars and ~201 forks, with an extensive commit history and open issues/discussions for feedback and feature requests. The README and docs emphasize public preview status and invite contributions via issues and pull requests. Repository activity (numerous commits, issues, and discussions) and Microsoft documentation/blog posts indicate ongoing updates and community engagement. For reference, the main repository page and docs provide the primary project metrics and contribution entry points. ([github.com](https://github.com/microsoft/ai-dev-gallery))

Installation

Install via docker:

git clone https://github.com/microsoft/AI-Dev-Gallery.git

Open AIDevGallery.sln with Visual Studio 2022 (or later) and set AIDevGallery as the startup project

Press F5 in Visual Studio to build and run the app (on ARM64 devices, build as ARM64)

Alternatively install the prebuilt app from the Microsoft Store (search "AI Dev Gallery" in Store).

Key Features

• 25+ interactive local AI samples across text, image, audio, and video scenarios.
• One-click browse and download of models from Hugging Face and GitHub.
• Export any sample as a standalone Visual Studio C# project with one click.
• Switch runtime between CPU, GPU, or device NPU (when supported).
• Samples demonstrate RAG, chat, object detection, Stable Diffusion, and Whisper usage.
• Built on .NET AI building blocks (Microsoft.Extensions.AI and ONNX GenAI patterns).
• Local model caching with model management and disk-usage controls inside the app.

Community

Microsoft hosts and maintains the repo under an MIT license; the GitHub project shows strong interest (≈1.4k stars, ≈201 forks) and an active issue/discussion board for feedback. Official docs, a .NET blog announcement, and Tech Community posts provide tutorials and sample spotlights, and the maintainers encourage contributions and issues for bugs or feature requests. The project is public-preview and intended to evolve with community input; Microsoft’s documentation and blog posts are the main channels for release notes and guidance. ([github.com](https://github.com/microsoft/ai-dev-gallery))

Key Information

• Category: Developer Tools
• Type: AI Developer Tools Tool