Whitefurry is a simple and lightweight conversational AI project written in Python.
The goal of Whitefurry is to provide a clear and minimal example of how an AI assistant can understand basic English input, detect user intent, and respond in a natural way.
Whitefurry is designed to be easy to read, easy to run, and easy to extend.
Whitefurry focuses on conversation logic rather than heavy machine learning frameworks.
It uses text similarity and intent matching to understand what the user is trying to say.
The project is suitable for:
- Learning how chatbots work
- Running on low-resource environments
- Experimenting with AI logic and dialogue systems
- Building a foundation for smarter assistants
- Understand basic English phrases
- Recognize greetings and common questions
- Respond with varied answers
- Run without external dependencies
Whitefurry follows a simple idea:
Intelligence is not about complexity, but about clarity.
The project values simplicity, readability, and practical behavior over unnecessary abstraction.
