Which AI backends are supported?
KognitiveKompanion supports OpenAI API (GPT-4o, GPT-3.5-Turbo, etc.), Ollama for local models, and AMD Ryzen AI hardware acceleration.
@SkyBehind
Basic information
KDE AI Interface and MCP Server Integration
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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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.
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 supports OpenAI API (GPT-4o, GPT-3.5-Turbo, etc.), Ollama for local models, and AMD Ryzen AI hardware acceleration.
No, KDE Plasma is optional; the application works on other desktop environments as well.
Detailed setup instructions for each backend are provided in `MULTI_BACKEND_GUIDE.md`. For AMD Ryzen AI, see `README_RYZEN_AI_SETUP.md`.
Python 3.8+ (Python 3.12 recommended), PyQt5, and at least one backend (OpenAI API key, running Ollama instance, or compatible AMD hardware).
Yes, the application includes an MCP (Model Control Protocol) client in its `app_root/mcp` directory, as documented in `MCP-INTEGRATION-GUIDE.md`.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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