nnarhinen

module.exports = function (grunt) {
  // show elapsed time at the end
  require('time-grunt')(grunt);
  // load all grunt tasks
  require('load-grunt-tasks')(grunt);
  
  //MODIFIED: add require for connect-modewrite
  var modRewrite = require('connect-modrewrite');

  grunt.initConfig({

thoop

# Change YOUR_TOKEN to your prerender token
# Change example.com (server_name) to your website url
# Change /path/to/your/root to the correct value

server {
    listen 80;
    server_name example.com;
 
    root   /path/to/your/root;
    index  index.html;

naoyeye

/*

# Usage in html template:

"xxx | nl2br"

<div ng-bind-html=" YourString | nl2br "></div>

or:

vitorbritto

Remove MySQL completely

1. Open the Terminal

2. Use mysqldump to backup your databases

3. Check for MySQL processes with: ps -ax | grep mysql

4. Stop and kill any MySQL processes

5. Analyze MySQL on HomeBrew:

   brew remove mysql
   

insin

var Col = require('react-bootstrap/lib/Col')
var PageHeader = require('react-bootstrap/lib/PageHeader')
var React = require('react')
var Row = require('react-bootstrap/lib/Row')
var {connect} = require('react-redux')
var {reduxForm} = require('redux-form')

var DateInput = require('./DateInput')
var FormField = require('./FormField')
var LoadingButton = require('./LoadingButton')

janlay

Install

1. Modify index.txt with your output path and proxy info
2. Use Text Builder to build configuration for Surge: $ text-builder -index /path/to/index.txt Or run $ sh build-all to build all your index files.
3. Import configuration via AirDrop/iTunes/Dropbox/iCloud

本人不提供任何保证和技术支持，使用者自负风险。
There are no guarantees, no any support. Use it at your own risk.

jason5ng32

[General]
loglevel = notify
skip-proxy = 127.0.0.1, 192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12, 100.64.0.0/10, localhost, *.local, ::ffff:0:0:0:0/1, ::ffff:128:0:0:0/1
bypass-tun = 192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12

# dns-server = 119.29.29.29,223.5.5.5,114.114.115.115
# external-controller-access = PASSWORD@0.0.0.0:6155
# ipv6 = true

// REMEMBER TO CHANGE THE external-controller-access' PASSWORD

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.

rohitg00

LLM Wiki v2

A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory 20K+ Stars ⭐️, 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.

What the original gets right

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.