🚀 UltraAI - Comprehensive AI Assistant

A powerful, fast, and educational AI assistant designed for cybersecurity learning, general knowledge, and terminal command execution.

✨ Features

🤖 AI Assistant

• Fast Responses - Powered by Llama 3.2 (2GB lightweight model)
• Multi-Chat Support - Create and manage multiple conversations
• Educational Focus - Specializes in cybersecurity, defensive security practices, and general knowledge
• Real-time Streaming - Watch AI responses stream in real-time
• Message History - Persistent chat history with SQLite database

💻 Integrated Terminal

• Terminal Emulator - Execute Linux commands directly from the UI
• ANSI Code Support - Proper handling of terminal colors and formatting
• Command Suggestions - Click AI-suggested commands to auto-fill terminal
• Real-time Output - See command results instantly
• Command History - Keep track of executed commands

🔒 Security & Learning

• Defensive Security Focus - Learn how to protect against vulnerabilities
• OWASP Top 10 Guidance - Understanding and defending against common vulnerabilities
• Ethical Tool Usage - Learn to use security tools responsibly
• CVE Analysis - Understand vulnerabilities from a defensive perspective
• CTF Challenges - Support for Capture The Flag learning
• User Sessions - Secure user authentication and session management

🎨 Modern Interface

• Dark Hacker Theme - Professional cybersecurity aesthetic
• Responsive Design - Works on desktop and tablets
• Real-time Chat UI - Smooth animations and transitions
• Terminal Interface - Authentic Linux terminal experience
• File Upload Support - Upload files for analysis

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📦 Requirements

System Requirements

• OS: Linux, macOS, or Windows (with WSL)
• Python: 3.8 or higher
• Ollama: Latest version with models installed
• RAM: 4GB minimum (8GB recommended)
• Storage: 5GB minimum for model

Dependencies

• Flask - Web framework
• Waitress - WSGI server
• Requests - HTTP client
• SQLite3 - Database (built-in)
• python-dotenv - Environment configuration

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🔧 Installation

1. Clone or Download UltraAI

git clone https://github.com/c0derArmy/UltraAI.git
cd UltraAI

2. Create Virtual Environment

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Install Ollama

# Download from https://ollama.ai
# Or on Linux:
curl https://ollama.ai/install.sh | sh

5. Pull the Model

ollama pull llama3.2

6. Start Ollama

ollama serve

(Keep this running in a separate terminal)

7. Run UltraAI

python ultra_ai.py

Visit: http://127.0.0.1:8000

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⚙️ Configuration

Environment Variables (.env)

# Ollama Configuration
OLLAMA_URL=http://localhost:11434
OLLAMA_MODEL=llama3.2:latest

# Server Configuration
HOST=127.0.0.1
PORT=8000
DEBUG=false

Available Models

llama3.2:latest   - 2.0 GB  (Recommended - Fast & Efficient)
mistral:latest    - 4.4 GB  (Larger - More Capable)
neural-chat       - 4.1 GB  (Optimized for Chat)
tinyllama         - 637 MB  (Ultra-Fast - Less Capable)

To switch models:

1. Edit .env file
2. Change OLLAMA_MODEL value
3. Restart the application

Copyright (c) 2024 ExploitDev

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

##Author

ExploitDev

• Created UltraAI for educational purposes
• Focused on cybersecurity learning and ethical hacking

Acknowledgments

• Ollama - For providing fast local LLM execution
• Llama 3.2 - Meta's efficient language model
• Flask - Python web framework
• Community - Thanks to all users and contributors

Made with ❤️ for the cybersecurity community