A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory, a persistent memory engine for AI coding agents.

This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.

The core insight is correct: stop re-deriving, start compiling. RAG retrieves and forgets. A wiki accumulates and compounds. The three-layer architecture (raw sources, wiki, schema) works. The operations (ingest, query, lint) cover the basics. If you haven't read the original, start there.

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

If you're trying to install the postgresql gem pg and it is failing with the following error message:

Installing pg 1.2.3 with native extensions
Gem::Ext::BuildError: ERROR: Failed to build gem native extension.

    current directory: ~/.rbenv/versions/3.0.0/lib/ruby/gems/3.0.0/gems/pg-1.2.3/ext
~/.rbenv/versions/3.0.0/bin/ruby -I ~/.rbenv/versions/3.0.0/lib/ruby/3.0.0 -r ./siteconf20210125-97201-pycpo.rb extconf.rb

https://stackoverflow.com/questions/73735202/typescript-jest-imports-with-js-extension-cause-error-cannot-find-module kulshekhar/ts-jest#1057 (comment)

tsconfig.json

{
  "compilerOptions": {
    "outDir": "./lib/",
    "inlineSourceMap": true,

Fish is a smart and user-friendly command line (like bash or zsh). This is how you can instal Fish on MacOS and make your default shell.

Note that you need the https://brew.sh/ package manager installed on your machine.

brew install fish

This guide assumes that you already have an angular application set up by ng create and are using Angular CLI for compilation.

Other guides that I've read rely upon re-writing your environments/environment.ts|environment.prod.ts files with each compilation. I find this to be completely unnecessary when angular's internal use of webpack can just be extended to include environment variables.

• https://chat.openai.com/
• Is ChatGPT "DAN" Real? Gonna find out [Part 1]
  (https://www.youtube.com/watch?v=-q8woRG9FrI)
• Part 2: I thought ChatGPT DAN was a hoax, but...
  (https://www.youtube.com/watch?v=rHZRrDu3A2U&lc=UgxfrxX8aK7gnCzkend4AaABAg)

Linking a custom domain to a deployed application is confusing and at times you don't get a route on how to link the domain with the website. 😫

In this article, I will be explaining how to link a Custom domain brought in Google Domains service to an application hosted on Vercel.

Perks of using vercel is that it allows adding domain without any verification unlike Heroku/Netlify, which means you don't have to add your billing details to add a domain to your application. Moreover, it is fast, efficient, and easy to use.😁

​Vercel is a deployment and collaboration platform for frontend developers. ​Vercel enables developers to host websites and web services that deploy instantly and scale automatically – all without any configuration. Source - Official Docs