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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.

@lltx
lltx / terminal-setup.md
Created March 23, 2026 01:07
🚀 现代化终端配置指南 - Ghostty + Zoxide + Yazi + Oh-My-Zsh

🚀 现代化终端配置指南

Ghostty + Zoxide + Yazi + Oh-My-Zsh 完整配置

📦 工具列表

  • Ghostty - 现代化 GPU 加速终端模拟器
  • Zoxide - 智能目录跳转工具(cd 的智能替代)
  • Yazi - 快速终端文件管理器
  • Oh-My-Zsh - Zsh 配置框架

Claude Agent SDK Technical Specification

Version: 1.0.0 Protocol Version: 2024-11-05 Last Updated: 2026-01-10

Table of Contents

  1. Overview
  2. Architecture
@overtrue
overtrue / pkg.youdomain.com.conf
Created February 17, 2017 09:27
Packagist proxy template for nginx vhost.
proxy_cache_path /tmp/nginx/cache keys_zone=one:200m
loader_threshold=300 loader_files=2000;
server {
listen *:80;
client_max_body_size 100M;
server_name pkg.yourdomain.com; # YOUR HOST
charset utf-8;
location / {
proxy_cache one;
@rxaviers
rxaviers / gist:7360908
Last active May 21, 2026 08:40
Complete list of github markdown emoji markup

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