Add Windows version app, installer scripts, and docs

.gitignore

@@ -28,3 +28,28 @@ tools/
 # Eval frameworks
 claudeeval/
 codexeval/
+
+# Python artifacts
+__pycache__/
+*.pyc
+.venv/
+.pytest_cache/
+*.spec
+dist/
+dist-installer/
+
+# Windows app/runtime artifacts
+*.sqlite
+*.sqlite3
+*.db
+*.log
+*.tmp
+Thumbs.db
+
+# Local screenshots or exports generated during app runs
+screenshots/
+exports/
+
+# Local editor/IDE state
+.vscode/
+.idea/

README.md

@@ -176,6 +176,14 @@ flowchart LR
 2. Run the `Dayflow` scheme on macOS 13+.
 3. In your Run **scheme**, add your `GEMINI_API_KEY` under _Arguments > Environment Variables_ (if using Gemini).
 
+**Windows (community port in this repo)**
+1. Install **Python 3.10+**.
+2. Install dependencies: `python -m pip install -r requirements-windows.txt`
+3. Run: `python -m dayflow_windows`
+4. Build installer: `pwsh -File .\scripts\build_windows_installer.ps1`
+5. Installer output: `dist-installer\DayflowWindowsSetup.exe`
+6. Windows app docs: `README_WINDOWS.md`
+
 ---
 
 ## Installation

README_WINDOWS.md

@@ -0,0 +1,85 @@
+# Dayflow for Windows
+
+This repository now includes a Windows-native implementation of Dayflow under `dayflow_windows/`.
+
+## What this Windows build does
+
+- Captures periodic screenshots of all monitors.
+- Records active window title and process name for each capture.
+- Stores metadata in SQLite (`%LOCALAPPDATA%\\DayflowWindows\\dayflow.sqlite3`).
+- Timeline view with date navigation, capture controls, AI timeline cards, and Markdown export.
+- Dashboard view for AI Q&A on your selected day (or week-style questions), with fallback to captured timeline evidence plus saved tiles.
+- Journal view with intentions, reflections, AI summary, weekly history, and reminders.
+- Settings view for providers, endpoints, API keys, capture interval, and storage cleanup.
+- Local-first storage with configurable auto-cleanup.
+
+## Requirements
+
+- Windows 10 or newer
+- Python 3.10+
+
+## Quickstart
+
+```powershell
+cd Dayflow
+python -m pip install -r requirements-windows.txt
+python -m dayflow_windows
+```
+
+Or run:
+
+```powershell
+python run_dayflow_windows.py
+```
+
+## AI Setup
+
+1. Open the app and go to `Settings`.
+2. Pick provider: `gemini`, `openai`, or `local`.
+3. Enter model and (for cloud providers) your API key.
+4. For local models, set endpoint (default: `http://localhost:1234/v1/chat/completions`).
+5. Go back to `Timeline` and click `Generate AI Timeline`.
+
+Suggested models:
+- Gemini: `gemini-1.5-flash`
+- OpenAI: `gpt-4.1-mini`
+- Local (LM Studio / Ollama OpenAI-compatible): your configured local model id
+
+## Build Installer EXE
+
+```powershell
+pwsh -File .\scripts\build_windows_installer.ps1
+```
+
+Output is created at `dist-installer\DayflowWindowsSetup.exe`.
+
+If you are in the repo root (`Dayflow/`), the installer is:
+
+- `dist-installer\DayflowWindowsSetup.exe`
+
+## Build Portable EXE (optional)
+
+```powershell
+pwsh -File .\scripts\build_windows.ps1
+```
+
+Portable output is created under `dist\`.
+
+## Storage paths
+
+- App data root: `%LOCALAPPDATA%\\DayflowWindows`
+- Screenshots: `%LOCALAPPDATA%\\DayflowWindows\\screenshots`
+- Database: `%LOCALAPPDATA%\\DayflowWindows\\dayflow.sqlite3`
+
+## Main UI structure
+
+- `Timeline`: capture controls, AI timeline generation, export, timelapse.
+- `Dashboard`: ask AI about your day and save Q&A tiles.
+- `Journal`: intentions/reflections/notes with AI summary + weekly entries.
+- `Settings`: providers, model/API key/endpoint, cleanup limits, reminder times.
+
+## Notes
+
+- Got CODEX GPT5.3 to make a windows compatible version since I do not have a Mac
+- This Windows port does not rely on Xcode, SwiftUI, or macOS frameworks.
+- The original Swift app in `Dayflow/` remains unchanged for macOS builds.

dayflow_windows/__init__.py

@@ -0,0 +1,11 @@
+"""Windows-native Dayflow implementation."""
+
+__version__ = "0.1.0"
+
+
+def main(*args, **kwargs):
+    from .app import main as _main
+    return _main(*args, **kwargs)
+
+
+__all__ = ["main", "__version__"]

dayflow_windows/__main__.py

@@ -0,0 +1,4 @@
+from .app import main
+
+if __name__ == "__main__":
+    raise SystemExit(main())