概览
What is KognitiveKompanion?
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 multi-backend support, screen capture, audio input, and conversation management.
How to use KognitiveKompanion?
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.
Key features of KognitiveKompanion
- 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
Use cases of KognitiveKompanion
- Using an AI assistant with local models via Ollama
- Capturing screen content to provide visual context to the AI
- Integrating with KDE Plasma desktop for a native look and feel
- Enabling Retrieval-Augmented Generation for improved answers
- Managing multiple conversations and exporting chat history
FAQ from KognitiveKompanion
What are the requirements to run KognitiveKompanion?
Python 3.8+ (Python 3.12 recommended), PyQt5, and one of the backends: OpenAI API key, Ollama running locally, or AMD Ryzen AI compatible hardware. KDE Plasma 5 Desktop is optional.
Which AI backends are supported?
OpenAI API (GPT-4o, GPT-3.5-Turbo, etc.), Ollama for local models, and AMD Ryzen AI hardware acceleration.
Can I use KognitiveKompanion without KDE?
Yes, the application works on other desktop environments as well; KDE Plasma is optional.
How do I save and load conversations?
The application includes conversation management features for saving, loading, and exporting chat history.
Where is the data stored?
The README does not specify data storage locations, but conversations can be saved and loaded locally via the UI.
