KognitiveKompanion
About
KognitiveKompanion is a modern, versatile AI interface for KDE and other desktop environments, designed to provide seamless interaction with multiple AI backends including OpenAI, Ollama, and AMD Ryzen AI hardware acceleration.
Details
- Author
- SkyBehind
- GitHub stars
- 2
- Downloads
- 510
- Categories
- Other, AI
Jump to
- Multi-backend support: OpenAI API, Ollama, and AMD Ryzen AI
- Advanced UI with collapsible sections and conversation sidebar
- Screen capture for visual context and audio input support
- RAG (Retrieval-Augmented Generation) toggle and conversation management
- KDE theming integration, system tray icon, and floating window option
- Save, load, and export chat history
Clone the repository, install Python dependencies with pip install -r requirements.txt, and run the appropriate launch script for your chosen backend: ./run_openai_gui.sh (OpenAI), ./run_kde_ai_interface.py (Ollama), or ./run_ryzen_ai_model.py (AMD Ryzen AI). See MULTI_BACKEND_GUIDE.md for detailed configuration.
KognitiveKompanion
A modern, versatile AI interface for KDE and other desktop environments, designed to provide a seamless interaction with various AI backends including OpenAI, Ollama, and AMD Ryzen AI hardware acceleration.
Features
- Multi-Backend Support:
- OpenAI API integration (GPT-4o, GPT-3.5-Turbo, etc.)
- Ollama backend for local models
- AMD Ryzen AI hardware acceleration
- Advanced UI:
- Collapsible sections for a clean interface
- Conversation sidebar for managing chat history
- Modern styling with KDE theming integration
- System tray icon and floating window option
- Context Features:
- Screen capture capability for visual context
- Audio input support
- RAG (Retrieval-Augmented Generation) toggle
- Conversation Management:
- Save and load conversations
- Export chat history
Requirements
- Python 3.8+ (Python 3.12 recommended)
- PyQt5
- KDE Plasma 5 Desktop (optional, works on other desktops too)
- One of the following backends:
- OpenAI API key
- Ollama running locally
- AMD Ryzen AI compatible hardware (optional)
Installation
1. Clone the repository:
git clone https://github.com/MagicUnicornInc/KognitiveKompanion.git
cd KognitiveKompanion
2. Install dependencies:
pip install -r requirements.txt
3. Run the application with your preferred backend:
```bash
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