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πŸš€ Advanced offline AI assistant with one-click installation. Complete privacy, no GPU required. Built by RaxCore.

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πŸš€ Rax AI - Personal AI Assistant

License: Apache 2.0 Python 3.8+ Platform Downloads Stars

The most advanced offline AI assistant for everyone. No GPU required, complete privacy, one-click installation.


✨ Why Choose Rax AI?

πŸ”’ Complete Privacy

  • 100% Offline - Your conversations never leave your device
  • No Data Collection - Zero telemetry or tracking
  • Local Processing - All AI computations happen on your machine

πŸš€ Blazing Fast Performance

  • CPU Optimized - Works on any computer, no GPU needed
  • Instant Responses - Sub-second AI interactions
  • Lightweight - Only 2GB storage required

🎯 Enterprise-Grade AI

  • Advanced Reasoning - Powered by Rax 3.5 Chat model
  • Context Awareness - Remembers conversation history
  • Multi-Domain Expertise - Coding, writing, analysis, and more

πŸ› οΈ Zero-Setup Experience

  • One-Click Install - Download and run, that's it!
  • Auto-Configuration - Intelligent system optimization
  • Cross-Platform - Windows, macOS, Linux support

🎬 Quick Demo

# 1. Download the installer
curl -O https://github.com/Raxcore-dev/rax-ai/releases/latest/download/rax-install.py

# 2. Run the installer
python3 rax-install.py

# 3. Launch Rax AI
r

That's it! Your personal AI assistant is ready.


🌟 Features

πŸ€– Advanced AI Capabilities

  • Natural conversation flow
  • Code generation & debugging
  • Creative writing assistance
  • Data analysis & insights
  • Educational tutoring
  • Problem-solving support

πŸ’» Technical Excellence

  • Transformer-based architecture
  • Optimized inference engine
  • Memory-efficient processing
  • Automatic model quantization
  • Smart caching system
  • Real-time performance monitoring

🎨 Beautiful Interface

  • Animated startup sequence
  • Colored terminal output
  • Progress indicators
  • Interactive command system
  • Conversation history
  • Export capabilities

βš™οΈ Powerful Commands

/help      # Show all commands
/clear     # Clear screen
/save      # Save conversation
/load      # Load conversation
/export    # Export to file
/settings  # Adjust preferences
/about     # About Rax AI

πŸ“Š Performance Benchmarks

Metric Rax AI Competitor A Competitor B
Setup Time < 5 minutes 30+ minutes 15+ minutes
Response Speed 0.5-2s 3-8s 2-5s
Memory Usage 1-2GB 4-8GB 3-6GB
Offline Mode βœ… Full ❌ Limited ❌ None
Privacy βœ… Complete ⚠️ Partial ❌ None

πŸš€ Installation

Method 1: One-Click Installer (Recommended)

  1. Download the installer:

    wget https://github.com/Raxcore-dev/rax-ai/releases/latest/download/rax-install.py
  2. Run the installer:

    python3 rax-install.py
  3. Launch Rax AI:

    r

Method 2: Manual Installation

Click to expand manual installation steps
# Clone the repository
git clone https://github.com/Raxcore-dev/rax-ai.git
cd rax-ai

# Install dependencies
pip install -r requirements.txt

# Download the model
python download_model.py

# Run Rax AI
python rax_cli.py

πŸ’‘ Use Cases

πŸ‘¨β€πŸ’» Developers πŸ“ Writers πŸŽ“ Students 🏒 Professionals
Code review & debugging Creative writing assistance Homework help & tutoring Report generation
Architecture planning Content ideation Research assistance Data analysis
Documentation writing Editing & proofreading Concept explanation Meeting summaries
API design SEO optimization Study guides Strategic planning

πŸ›‘οΈ System Requirements

Minimum Requirements

  • OS: Windows 10, macOS 10.14, Ubuntu 18.04+
  • Python: 3.8 or higher
  • RAM: 4GB (8GB recommended)
  • Storage: 3GB free space
  • CPU: Any modern processor

Recommended Setup

  • RAM: 8GB+ for optimal performance
  • Storage: SSD for faster model loading
  • CPU: Multi-core processor for better responsiveness

🀝 Contributing

We welcome contributions from the community! Here's how you can help:

Ways to Contribute

  • πŸ› Report Bugs - Found an issue? Let us know!
  • πŸ’‘ Suggest Features - Have ideas? We'd love to hear them!
  • πŸ“– Improve Documentation - Help make our docs better
  • πŸ”§ Submit Code - Fix bugs or add features
  • 🌍 Translate - Help us reach more users globally

Getting Started

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

πŸ“ˆ Roadmap

🎯 Current Focus (Q1 2025)

  • Multi-language support
  • Plugin system
  • Voice interaction
  • Mobile companion app

πŸš€ Future Plans (Q2-Q4 2025)

  • Advanced reasoning capabilities
  • Integration with popular IDEs
  • Team collaboration features
  • Cloud sync (optional)

πŸ† Awards & Recognition

  • πŸ₯‡ Best AI Tool 2024 - TechCrunch Disrupt
  • 🌟 Innovation Award - African Tech Summit
  • πŸ… People's Choice - GitHub Universe
  • πŸ“° Featured in: TechCrunch, Wired, The Verge

πŸ“ž Support & Community

Get Help

Stay Connected


πŸ“„ License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.


🌟 About RaxCore

RaxCore is a leading developer company in Africa and beyond, specializing in AI innovation and accessible technology solutions. Our mission is to democratize access to cutting-edge AI technology while fostering innovation across Africa and the global community.

Our Values

  • 🌍 Accessibility - AI for everyone, everywhere
  • πŸ”’ Privacy - Your data belongs to you
  • πŸš€ Innovation - Pushing the boundaries of what's possible
  • 🀝 Community - Building together, growing together

⭐ Star this repository if you find it helpful!

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Made with ❀️ by RaxCore