of OpenAI) posted a GitHub gist earlier this year.

It’s called “LLM Wiki.” About 1,500 words. It describes a pattern where you build a personal wiki that an LLM maintains for you: a persistent, compounding artifact that gets richer every time you add to it.

Knowledge compiled once and kept current, rather than re-derived from scratch on every query.

Most people probably read it, thought “that’s interesting,” and closed the tab!

I built it and this article shows how to set it up and I also tell you what I learned during implementation.

The problem with how most people use AI right now

Every conversation starts blank .

You open a chat, explain who you are, what you’re working on, what you decided last week. You get a useful response. You close the tab. Tomorrow you do it again .

Image created using DALL-E.

The tool works fine, but the context layer underneath it is missing !

It is true that built-in memory helps a little.

Claude remembers your name and job title .…