Ross ROSS = Recommend OSS · open-source software intelligence for agents

microsoft/ai-dev-gallery

An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps. observed · 2026-08-28

github.com/microsoft/ai-dev-gallery · C# · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

66/100

  • Activity 98
  • Release rhythm 35
  • Longevity 47

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 665
  • days_rel: n/a
  • days_push: 13
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1497 stars · 221 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AI Dev Gallery is a Windows application from Microsoft that lets developers explore over 25 interactive samples powered by local AI models running via ONNX Runtime, DirectML, and NPUs. It allows browsing and downloading models from Hugging Face and GitHub, viewing C# source code, and exporting standalone Visual Studio projects with one click.

Use cases

  • add local AI features to my Windows app
  • run Phi-3 or Mistral locally on Windows with C#
  • learn how to use ONNX Runtime Generative AI in WinUI apps
  • try Stable Diffusion locally on Windows with DirectML
  • run Whisper speech recognition offline on Windows
  • export a working Visual Studio project with AI model integration
  • test AI models on NPU on Copilot+ PCs

When to choose

  • you are a Windows developer building WinUI3/WPF apps with C#
  • you want to run AI models locally without cloud APIs
  • you want copy-paste sample code and exportable projects for AI integration
  • you target NPUs or GPUs on Windows 10/11

When to avoid

  • you develop for macOS, Linux, or mobile platforms
  • you need cloud-based AI APIs rather than local models
  • your machine lacks the recommended 16GB RAM and GPU VRAM
  • you need a production-ready AI library rather than a learning gallery

Facets

application · maturity active

machine-learning llm-inference image-processing speech-recognition developer-tools sdk artificial-intelligence large-language-models developer-tools windows machine-learning windows dotnet cpp winui3 onnx onnxruntime directml npu local-models hugging-face sample-gallery csharp windows-app-sdk stable-diffusion whisper phi3

1 source

Member repositories

RepositoryRoleHealth v2
microsoft/ai-dev-gallerymain66

For agents

markdown · JSON · MCP: product_card(name="microsoft/ai-dev-gallery")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem