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.

cliffano

Minecraft Version	Server Jar Download URL	Client Jar Download URL
26.3-snapshot-2	https://piston-data.mojang.com/v1/objects/a6e2ae24c95dc838456927661a82434d26936d2f/server.jar	https://piston-data.mojang.com/v1/objects/647abf5c48ac9211f7fa26b137519880b36b20a8/client.jar
26.3-snapshot-1	https://piston-data.mojang.com/v1/objects/4d9ebd8b9dc87345ab770ceaf43fbeaeab05903f/server.jar	https://piston-data.mojang.com/v1/objects/f7dbd08cc7462705fc48dd687e64534811edbbf1/client.jar
26.2	https://piston-data.mojang.com/v1/objects/823e2250d24b3ddac457a60c92a6a941943fcd6a/server.jar	https://piston-data.mojang.com/v1/o

EternallLight

name	cmux-orchestrate
description	Use when orchestrating cmux terminal panes, splits, tabs, worker sessions, or agents in other cmux panes, including reading screens, sending commands, answering prompts, jumping to unread activity, or setting AFK check-ins. Do not use for tmux, IDE/browser tabs, deployment replicas, or plain command execution.

cmux Orchestrate

Drive a cmux terminal workspace — build pane layouts, name tabs, send work to worker panes, read their screens, and answer the agents running inside them — translating the user's plain English into real cmux CLI calls fast, without paging through help every time.

cmux is agent-first: it exposes a Unix-socket CLI so an agent can inspect and control the whole window/workspace/pane/surface tree. You don't memorize a GUI; you read the surface and act on it.

Mr-xn

#!/usr/bin/env node
/**
 * Typora macOS 激活脚本
 * 原理：替换二进制中的 RSA 公钥，用自己的私钥签名生成 Activation Token
 */

const crypto = require('crypto');
const fs = require('fs');
const path = require('path');
const { spawnSync } = require('child_process');

geoffreylitt

name	explain-diff-html
description	Use when the user asks for a rich explanation of a code change, diff, branch, or PR. Produces HTML output.

Explain Diff

Please make me a rich, interactive explanation of the specified code change.

It should have these sections:

svengeance

[[_TOC_]]
{{#if (eq (template) 'production')}}

## Production Release
### 🚀 [{{releaseDetails.name}}]({{get '_links.web.href' releaseDetails}})  
**Started By:** {{releaseDetails.createdBy.displayName}}  
**Start Time:** {{date releaseDetails.createdOn 'llll'}}  
**Total # Work Items:** {{workItems.length}}  
**Total # Commits:** {{commits.length}}  

Ljsanterre

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp