MyDeviceAI

Your Personal AI Assistant - Private, Powerful, and Always Ready

🌟 Overview

MyDeviceAI brings the power of artificial intelligence directly to your iPhone, with a focus on privacy, performance, and personalization. By running AI models directly on your device and integrating with privacy-focused web services, MyDeviceAI offers a unique blend of local processing power and cloud-based knowledge, all while keeping your data private and secure.

✨ Key Features

• Seamless Experience: The app comes with bundled AI models that load asynchronously in the background, ensuring zero waiting time and a smooth user experience from the moment you launch.

• Web Search Integration: Bridge the knowledge gap between local AI and cloud capabilities with our web search integration, utilizing a self-hosted SearXNG instance for privacy-focused results.

• Thinking Mode: Powered by Qwen 3, our Thinking Mode helps you tackle complex problems and brainstorming sessions with advanced reasoning capabilities.

• Personalization (Beta): Create a truly personalized AI experience by loading saved user contexts. Tailor conversations to your preferences and needs (Currently in Beta).

• Chat History: Access up to 30 days of conversation history, making it easy to reference past discussions and maintain context over time.

• Broad Device Support: Compatible with all modern iPhones, bringing private AI capabilities to more users than ever before.

🚀 Getting Started

Prerequisites

• macOS
• Xcode 13.0+
• CocoaPods
• Node.js 14.0 or later
• React Native development environment set up (React Native - Environment Setup)

Installation

1. Clone the repository:

   git clone https://github.com/navedmerchant/MyDeviceAI.git
   cd MyDeviceAI
   

2. Download required AI models:

   • Download Qwen3 1.7B Q4 and place it in the ios/ directory
   • Download BGE Small and place it in the ios/ directory

3. Create configuration file:

   • Create src/config/Env.ts with the following content:

     export const HOSTNAME = 'YOUR_SEARXNG_INSTANCE_URL';
     

4. Install dependencies:

   npm install
   # or
   yarn install
   

5. Install pods:

   cd ios && pod install && cd ..
   

6. Start the application:

   npm run ios
   # or
   yarn ios
   

🛠️ Technical Stack

• Framework: React Native
• AI Models:
  • Qwen 3 (1.7B Q4) for chat and reasoning
  • BGE Small for embeddings
• Web Search: SearXNG Integration
• State Management: Redux + Redux Toolkit
• Storage: AsyncStorage for chat history and user contexts
• UI Components: Lucide
• Code Quality: ESLint, Prettier
• Build Tools: Metro Bundler

🤝 Contributing

We welcome contributions to MyDeviceAI! Here's how you can help:

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Development Guidelines

• Follow the React Native community best practices
• Write meaningful commit messages
• Update documentation for any new features
• Add appropriate tests for new functionality
• Ensure privacy-first approach in feature implementation

🔐 Privacy

MyDeviceAI is built with privacy at its core:

• All AI processing happens locally on your device
• No data is sent to external servers without explicit consent
• Web Search integration via SearXNG respects user privacy
• Chat history is stored locally and never uploaded

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🐛 Bug Reports

If you discover any bugs, please create an issue in the GitHub repository including:

• iOS version
• iPhone model
• Steps to reproduce the bug
• Expected and actual behavior

⚠️ Known Issues

We are actively working on the following issues and welcome contributions:

1. Formula Rendering: Need to implement mathematical formula support using KaTeX or a Redux-compatible parser
2. Image Rendering: Some base64 images from search results fail to render properly
3. Think Token Display: Occasional display of raw think tokens in the thinking section needs better parsing logic

If you'd like to help solve any of these issues, please check our Contributing section above!

📞 Contact

If you have any questions or suggestions, feel free to open an issue or reach out to the maintainers.

Made with ❤️ by Naved Merchant