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.
@MagicUnicornInc
基本情報
KDE AI Interface and MCP Server Integration
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
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.
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.
OpenAI API (GPT-4o, GPT-3.5-Turbo, etc.), Ollama for local models, and AMD Ryzen AI hardware acceleration.
Yes, the application works on other desktop environments as well; KDE Plasma is optional.
The application includes conversation management features for saving, loading, and exporting chat history.
The README does not specify data storage locations, but conversations can be saved and loaded locally via the UI.
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