Max Mykhailenko max-mykhailenko

LLM Wiki

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.

The core idea

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.

Following is a sample of LaungAgent that remaps do not disturb key to Siri (I am using Type to Siri)

This is a lightweight solution not relying on external apps.

Setting up

Create ~/Library/LaunchAgents/com.local.KeyRemapping.plist
Edit it to have following content

	// getComponent is a function that returns a promise for a component
	// It will not be called until the first mount
	function asyncComponent(getComponent) {
	return class AsyncComponent extends React.Component {
	static Component = null;
	state = { Component: AsyncComponent.Component };

	componentWillMount() {
	if (!this.state.Component) {
	getComponent().then(Component => {

	const React = require('react')
	const Landing = require('./Landing')
	const Search = require('./Search')
	const Layout = require('./Layout')
	const Details = require('./Details')
	const ReactRouter = require('react-router')
	const data = require('../public/data')
	const { Router, Route, hashHistory, IndexRoute } = ReactRouter
	const Store = require('./Store')
	const { store } = Store