karpathy

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.

Kyriakos-Georgiopoulos

import android.graphics.Bitmap
import android.graphics.SurfaceTexture
import android.media.MediaPlayer
import android.view.Surface
import android.view.TextureView
import android.view.View
import androidx.compose.animation.core.LinearEasing
import androidx.compose.animation.core.RepeatMode
import androidx.compose.animation.core.animateFloat
import androidx.compose.animation.core.animateFloatAsState

leocomelli

GIT

Estados

• Modificado (modified);
• Preparado (staged/index)
• Consolidado (comitted);

Ajuda

nxfx21

#!/usr/bin/env zsh

printf "PT09IENyb3NzT3ZlciBUcmlhbCBSZXNldCBTY3JpcHQgPT09DQpbSU5GT10gVGhpcyBzY3JpcHQgaXMgb25seSBtZWFudCBmb3IgZWR1Y2F0aW9uYWwgcHVycG9zZXMuDQpbV0FSTklOR10gSWYgeW91IGRpZG4ndCBnZXQgdGhpcyBzY3JpcHQgZnJvbSBueGZ4MjEncyBHaXRIdWIgR2lzdCwgaXQgbWF5IGhhdmUgYmVlbiB0YW1wZXJlZCB3aXRoLiBJZiB5b3UgZGlkIGdldCB0aGlzIG9mZiBueGZ4MjEncyBHaXRIdWIgR2lzdCwgeW91IGFyZSBzYWZlLCBjYXJyeSBvbi4gQmUgY2F1dGlvdXMgd2hlbiBydW5uaW5nIG9ubGluZSBjb2RlLCBhbmQgYWx3YXlzIGNoZWNrIGlmIGl0IGRvZXMgYW55dGhpbmcgdGhhdCB5b3UgZG9uJ3QgbGlrZS4=" | base64 -D
echo "\n[LOG] Started at: $(date)"

# Check if Homebrew exists, install if needed
if ! command -v brew >/dev/null 2>&1; then
    echo "[INFO] Homebrew not found. Installing Homebrew..."
    /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
    

TongDucThanhNam

#!/usr/bin/env bun
import path from "node:path";
import { parseArgs } from "node:util";
import { parse } from "@babel/parser";
import traverseModule from "@babel/traverse";

const traverse = traverseModule;

// --- CLI CONFIGURATION ---
const HELP_TEXT = `Usage: bun generate-component-hierarchy.ts  [options]

zsecducna

Hướng dẫn đăng ký tài khoản AWS (gói Paid) và khởi chạy EC2

---

PHẦN 1: Đăng ký tài khoản AWS (Paid Plan)

Bước 0: Chuẩn bị

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docjsha

LLM Wiki — Schema

This wiki is a persistent, LLM-maintained knowledge base for research deep-dives. The LLM reads raw sources, builds interlinked markdown pages, and maintains cross-references and consistency. The human curates sources and directs analysis; the LLM does the bookkeeping.

---

Directory Layout

llm-wiki/

dmmulroy

Below is the Effect 4 shape I’d create for a short top-level mlink CLI.

Commands

No links prefix:

  mlink health
  mlink list [--q] [--status active|tombstoned|all] [--kind alias|generated|all] [--limit] [--cursor] [--all]
  mlink get <slug>

EvgenyOrekhov

A simple Docker and Docker Compose install script for Ubuntu

Usage

1. sh install-docker.sh
2. log out
3. log back in

Links