KognitiveKompanion
About
KognitiveKompanion is a modern, versatile AI interface for KDE and other desktop environments, designed to provide seamless interaction with AI backends including OpenAI, Ollama, and AMD Ryzen AI hardware acceleration. It is for users who want a desktop assistant with…
Details
- Author
- MagicUnicornInc
- Downloads
- 333
- Categories
- Other, AI
Jump to
- Multi-backend support: OpenAI, Ollama, AMD Ryzen AI acceleration
- Collapsible sections and conversation sidebar for clean UI
- System tray icon and floating window option
- Screen capture capability for visual context
- Audio input support and RAG toggle
- Save, load, and export chat history
Clone the repository, install dependencies with pip install -r requirements.txt, then run the application using one of the provided scripts: ./run_openai_gui.sh for OpenAI, ./run_kde_ai_interface.py for Ollama, or ./run_ryzen_ai_model.py for AMD Ryzen AI. Detailed backend configuration is documented in MULTI_BACKEND_GUIDE.md.
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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