nafu

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.

nafu

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

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deployment:
  production:
    branch: master
    commands:
      - NEED_MAINTENANCE_MODE=`./script/circleci.sh`; if [ $NEED_MAINTENANCE_MODE -eq 1 ]; then heroku features:disable preboot --app production; else heroku features:enable preboot --app production; fi
      - NEED_MAINTENANCE_MODE=`./script/circleci.sh`; if [ $NEED_MAINTENANCE_MODE -eq 1 ]; then heroku maintenance:on --app production; fi
      - NEED_MAINTENANCE_MODE=`./script/circleci.sh`; if [ $NEED_MAINTENANCE_MODE -eq 1 ]; then heroku scale worker=0 --app production; fi
      - git push -f [email protected]:production.git $CIRCLE_SHA1:refs/heads/master
      - NEED_MAINTENANCE_MODE=`./script/circleci.sh`; if [ $NEED_MAINTENANCE_MODE -eq 1 ]; then heroku run 'rake db:migrate' --app production; fi
      - heroku run 'rake db:seed' --app production

nafu

var="https://github.com/user/repo/compare/049508ce0e26...286b18317092"
echo ${var#*compare/}

# 049508ce0e26...286b18317092

nafu

import Security

public class Keychain {
	public class func save(str: String?, forKey: String) -> Bool {
		if str == nil {
			return false
		}

		let dataFromString: NSData = str!.dataUsingEncoding(NSUTF8StringEncoding, allowLossyConversion: false)!
		let query = [

nafu

class Model {
	class func classString() -> String {
		return NSStringFromClass(self.classFromCoder)
	}
}

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// Swift Sequence

import UIKit

var str = "Hello, playground"

class Cart<T> {
	var items: [T]

	init(items: [T]) {

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deployment:
  production:
    branch: master
    commands:
      - heroku maintenance:on --app production
      - heroku scale worker=0 --app production
      - git push -f [email protected]:production.git $CIRCLE_SHA1:refs/heads/master
      - heroku run 'rake db:migrate; rake db:seed' --app production
      - heroku maintenance:off --app production
  staging:

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box: nafu/[email protected]
# Build definition
# See the Rails section on the wercker devcenter:
# http://devcenter.wercker.com/articles/languages/ruby/settingup-rails4.html
# You will want to define your database as follows:
services:
  - wercker/postgresql
# See more about services on our devcenter:
# http://devcenter.wercker.com/articles/services/
build:

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require 'webrick'

class TestContentServlet < WEBrick::HTTPServlet::AbstractServlet
  def do_GET(req, res)
    res.body = get_body(req.path)
    res.content_type = WEBrick::HTTPUtils.mime_type(
      req.path_info, WEBrick::HTTPUtils::DefaultMimeTypes)
  end

  def get_body(path)