By Curtis White

Windows Sidekick is a lightweight tray-resident Windows application designed to quickly capture screen contexts and interact with a local large-language model (LLM). This application is entirely local-first, ensuring no cloud connections are required unless explicitly configured. Windows Sidekick provides immediate contextual assistance directly from your desktop, ensuring rapid, seamless integration with your workflow.

git clone https://github.com/CurtisAccelerate/Windows-Sidekick.git
cd Sidekick
dotnet restore
msbuild WindowsSidekick.csproj

Press your configured hotkey (`Ctrl + `` by default) anywhere to invoke the assistant.

• Global Hotkeys: System-wide shortcuts captured using native Windows hooks.
• Contextual Screenshots: Captures active window or entire desktop if window is minimized or invalid.
• Local LLM Integration: Communicates via a configurable local HTTP endpoint.
• Intuitive UI: Dark-themed, semi-transparent overlays for prompts and responses.

Sidekick/
│
├── Program.cs                  # Application entry point
├── TrayApplicationContext.cs   # Manages tray icon and hotkeys
├── GemmaClient.cs              # HTTP client for local LLM
├── PromptForm.cs               # UI form for user input prompts
├── ResponseForm.cs             # UI form displaying LLM responses
├── Utils/
│   └── WindowCapture.cs        # Captures screenshots
└── Settings/
    ├── AssistantSettings.cs    # Assistant configuration
    ├── GemmaSettings.cs        # LLM endpoint settings
    └── HotkeySettings.cs       # Hotkey configurations

Webview2 Markdig

Modify \WindowsSidekick\Settings\:

{
  "BaseUrl":      "http://127.0.0.1:1234",
  "ModelId":      "gemma-3-27b-it-qat",
  "SystemPrompt": "**Role:** Windows AI Assistant analyzing screen image & optional user text.\n**Instructions:**\n1. Carefully analyze image for context (app, state).\n2. If user text: Read carefully the ask and use the image context to help answer the question if relevant.\n3. If no text & image has errors: Explain error & suggest fix.\n\nProvide a helpful answer and then emit all commands/code/actions in a code block.\n**Requirement:** ALL commands/code/actions MUST be in ```markdown blocks```. BE CONCISE",
  "Hotkey":       { "Ctrl": true, "Alt": false, "Shift": false, "Win": false, "Key": "Oem3" },
  "ExitHotkey":   { "Ctrl": true, "Alt": false, "Shift": false, "Win": false, "Key": "D1" },
  "Stream":       false
}

1. Hotkey Listener:

   • Installs native Windows hooks to detect global hotkey presses.
   • Saves the handle of the currently active foreground window.

2. Window Capture:

   • Captures screenshots of the active window via PrintWindow.
   • Falls back to capturing the entire desktop when the window is minimized or invalid.

3. Prompt Overlay:

   • Opens a dark-themed UI for user input.
   • Users can input textual prompts to accompany the captured screenshot.

4. Local LLM Client:

   • Sends a JSON payload containing the screenshot and user prompt to a locally configured HTTP endpoint.
   • Default setup targets Gemma 3 27B, but can easily be adapted to other models.

5. Response Overlay:

   • Displays the LLM's response in Markdown and code, allowing further follow-up interactions.

• Press `Ctrl + `` to open the prompt overlay.
• Press Ctrl + 1 to uninstall (exit) Windows Sidekick.

You must be running local LLM at the endpoint. You can do this easily by downloading LM Studio and configuring the service endpoint.

• Hotkeys: Customize via settings.json.
• LLM Endpoint: Easily configurable to any local or remote model endpoint* (with configuration).

• It attempts to grab the active application and fall back to the screen grab if that fails: however, there are cases where results where desired screen area is not captured. If complains about blank background, likely the grab failed. There is a diangostic button to view captured image for verification.

• Caution. No warranty. This was a rapid AI build personal project.
• MIT License