# Msg-Use AI-powered message scheduler using browser agents and Gemini. Schedule personalized messages in natural language and let AI compose them intelligently. [!WARNING] This demo requires browser-use v0.7.7+. https://browser-use.github.io/media/demos/msg_use.mp4 ## Features 1. Agent logs into WhatsApp Web automatically 2. Parses natural language scheduling instructions 3. Composes personalized messages using AI 4. Schedules messages for future delivery or sends immediately 5. Persistent session (no repeated QR scanning) ## Setup Make sure the newest version of browser-use is installed: ```bash pip install -U browser-use ``` Export your Gemini API key, get it from: [Google AI Studio](https://makersuite.google.com/app/apikey) ``` export GOOGLE_API_KEY='your-gemini-api-key-here' ``` Clone the repo and cd into the app folder ```bash git clone https://github.com/browser-use/browser-use.git cd browser-use/examples/apps/msg-use ``` ## Initial Login First-time setup requires QR code scanning: ```bash python login.py ``` - Scan QR code when browser opens - Session will be saved for future use ## Normal Usage 1. **Edit your schedule** in `messages.txt`: ``` - Send "Hi" to Magnus on the 09.09 at 18:15 - Tell hinge date (Camila) at 20:00 that I miss her - Remind mom to pick up the car next tuesday ``` 2. **Test mode** - See what will be sent: ```bash python scheduler.py --test ``` 3. **Run scheduler**: ```bash python scheduler.py # Debug Mode - See the browser in action python scheduler.py --debug # Auto Mode - Respond to unread messages every ~30 minutes python scheduler.py --auto ``` ## Programmatic Usage ```python import asyncio from scheduler import schedule_messages async def main(): messages = [ "Send hello to John at 15:30", "Remind Sarah about meeting tomorrow at 9am" ] await schedule_messages(messages, debug=False) asyncio.run(main()) ``` ## Output Example scheduling output: ```json [ { "contact": "Magnus", "original_message": "Hi", "composed_message": "Hi", "scheduled_time": "2025-06-13 18:15" }, { "contact": "Camila", "original_message": "I miss her", "composed_message": "I miss you ❤️", "scheduled_time": "2025-06-14 20:00" } ] ``` ## Files - `scheduler.py` - Main scheduler script - `login.py` - One-time login setup - `messages.txt` - Your message schedule in natural language ## License MIT