What is ai-content-kb?

AI Content Knowledge Base is a template repository for organizing personal research, writing, and published work with help from an AI coding assistant like Codex. It is built around plain Markdown files and YAML metadata, and works optionally with the Obsidian note-taking app, but none of those tools are required to read it. The core idea, inspired by a pattern for maintaining a wiki with a large language model, is to keep different kinds of content clearly separated: your own original notes and drafts, external sources you have collected, finished published work, and anything an AI has generated. Raw notes go in one folder, external material in another, and finished articles or courses in a third, while AI-generated summaries and proposed wiki pages sit in a staging area until a person reviews and approves them. The goal is to stop AI output from silently becoming treated as fact before someone has checked it. Once cloned, the repository is meant to be opened as a project in the Codex desktop app, which reads an AGENTS.md file describing how the AI assistant should behave inside this particular knowledge base. From there, a user can type natural-language instructions such as asking it to add a note to the knowledge base, draft a wiki entry from recent material, compose an article using only sourced material, or migrate an existing note vault into this structure. Each of these instructions routes through a review step before anything is treated as final. Documentation inside the repository covers the reasoning behind the folder structure, the schema used for typed relationships between notes, a guide to the content creation workflow, and a guide for migrating an existing vault. The project is released under the MIT license and includes a Chinese translation of the README.