Bot Whatsapp Termux Github Jun 2026

To create a WhatsApp bot, we need to install some dependencies. Run the following commands in Termux:

: Usually requires scanning a QR code in the terminal using WhatsApp's "Linked Devices" feature to sync the bot. ✅ Pros: Why it's popular

Follow these standard terminal commands to get your bot running: Update System Packages pkg update && pkg upgrade -y Use code with caution. Copied to clipboard Install Required Tools

SESSION_NAME=my_session PREFIX=! ADMIN_NUMBER=91xxxxxxxxxx bot whatsapp termux github

How to Deploy a WhatsApp Bot Using Termux and GitHub Deploying a WhatsApp bot directly from your Android device is an excellent way to automate messaging, manage groups, and build custom interactive tools without paying for expensive cloud hosting. By combining Termux (a terminal emulator for Android) with GitHub (the world’s largest code repository), you can launch a fully functional WhatsApp bot in under 15 minutes.

: With Termux installed (preferably the version from F-Droid for better compatibility).

A reliable internet connection to download packages. To create a WhatsApp bot, we need to

const client = new Client();

: To keep your bot running even after you close the Termux app, you may need to use tools like pm2 or ensure your phone doesn't kill Termux in the background by checking your battery optimization settings. How to Deploy a WhatsApp Bot on GitHub for Free

Once inside the project folder, you must download the project dependencies defined in the package.json file. npm install Use code with caution. : With Termux installed (preferably the version from

A good option for beginners focusing on automated replies. Key Features of Termux Bots Auto-Reply: Customize replies based on keywords. Sticker Creator: Convert images/videos into stickers. Downloader: Download media from Instagram, YouTube, etc. Group Management: Kick, add, or mute members automatically. Important Considerations

This is just a basic example to get you started. You can extend the bot's functionality by adding more features, such as natural language processing, machine learning, or integrating with other services.

If the repository utilizes yarn , use this alternative command sequence: corepack enable && yarn install Use code with caution.