What is vincci-knowledge-network?

Wenxi Knowledge Network is a note-taking system built on top of Obsidian, designed for people who want a structured way to turn raw notes into organized, verified knowledge. The core idea is that new notes start as raw material in an inbox and only move into the formal system once they are encoded and checked. Along the way, the system keeps a clear line between knowledge you have verified from outside sources and ideas that are your own original thinking, storing each in separate folders. Notes are organized using a small set of discipline codes, such as life experience, discipline knowledge, or cognitive evolution, and each note is labeled with a prefix showing whether it is a verified term, a thinking model, or a concept, or whether it is an original version of one of those. Notes also move through stages, starting as a seed, growing into a sprout, and eventually maturing, so you can track how developed an idea is over time. The system also maintains a registry of concepts to catch duplicates and can detect and repair broken links between notes. The project includes Python scripts for these maintenance tasks: one script scans for duplicate concepts and syncs the registry, another checks and repairs ghost links, and a third manages the status transitions between seed, sprout, and mature. Each script can be run in a preview mode first, so you can review planned changes before applying them. To use it, you need Python 3.7 or newer, the PyYAML library, Obsidian, and Git. You clone the repository, install dependencies, then run a setup script to build the folder structure inside your own Obsidian vault. The generated folders and workflow are written in Chinese, since the project is built for a Chinese-language Obsidian environment, though an English README is provided. It also includes an optional AI workflow skill file that can be copied into a Claude skills folder. The project is released under the MIT license.