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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.

@dabit3
dabit3 / pi_tutorial.md
Last active April 20, 2026 08:24
How to Build a Custom Agent Framework with PI: The Agent Stack Powering OpenClaw

PI is a TypeScript toolkit for building AI agents. It's a monorepo of packages that layer on top of each other: pi-ai handles LLM communication across providers, pi-agent-core adds the agent loop with tool calling, pi-coding-agent gives you a full coding agent with built-in tools, session persistence, and extensibility, and pi-tui provides a terminal UI for building CLI interfaces.

These are the same packages that power OpenClaw. This guide walks through each layer, progressively building up to a fully featured coding assistant with a terminal UI, session persistence, and custom tools.

By understanding how to compose these layers, you can build production-grade agentic software on your own terms, without being locked into a specific abstraction.

Pi was created by @badlogicgames. This is a great writeup from him that explains some of the design decisions made when creating it.

The stack

@amishmm
amishmm / ArchOracleCloud.md
Last active April 20, 2026 08:23
Install Arch Linux on Oracle Cloud (Free Tier)

Requirement

  • Console / Cloud Shell access (via https://cloud.oracle.com)
  • Go to the instance page and under Resources -> Console connection -> Launch Cloud Shell connection

Steps

  1. In Ubuntu OR any other Free tier Linux OS
# Download Alpine Linux and install it on disk
cd /
wget https://dl-cdn.alpinelinux.org/alpine/v3.16/releases/x86_64/alpine-virt-3.16.2-x86_64.iso
@sundowndev
sundowndev / GoogleDorking.md
Last active April 20, 2026 08:20
Google dork cheatsheet

Google dork cheatsheet

Search filters

Filter Description Example
allintext Searches for occurrences of all the keywords given. allintext:"keyword"
intext Searches for the occurrences of keywords all at once or one at a time. intext:"keyword"
inurl Searches for a URL matching one of the keywords. inurl:"keyword"
allinurl Searches for a URL matching all the keywords in the query. allinurl:"keyword"
intitle Searches for occurrences of keywords in title all or one. intitle:"keyword"

How to setup Plex with Sonarr, Radarr, Jackett, Overseerr and qBitTorrent using Docker

Before continuing: This guide is currently outdated but I'm working on a new one with upgrading steps included. I'll link it here once it's finished :)

This is a guide that will show you how to setup Plex Media Server with Sonarr, Radarr, Jackett, Overseerr and qBitTorrent with Docker. It is written for Ubuntu 20.04 but should work on other Linux distributions as well (considering supported distributions by Docker). It is also written for people who have some experience with Linux and Docker. If you are new to Docker, I recommend you to read the Docker documentation, and if you are new to Linux, I recommend you to read the Ubuntu documentation.

Now, let's get started!

Please note: This guide was written without considering hardlinking for Sonarr/Radarr. If you want to use hardlinking refer to #Hardlinking

@guest271314
guest271314 / javascript_engines_and_runtimes.md
Last active April 20, 2026 08:17
A list of JavaScript engines, runtimes, interpreters

V8 is Google’s open source high-performance JavaScript and WebAssembly engine, written in C++. It is used in Chrome and in Node.js, among others. It implements ECMAScript and WebAssembly, and runs on Windows 7 or later, macOS 10.12+, and Linux systems that use x64, IA-32, ARM, or MIPS processors. V8 can run standalone, or can be embedded into any C++ application.

SpiderMonkey is Mozilla’s JavaScript and WebAssembly Engine, used in Firefox, Servo and various other projects. It is written in C++, Rust and JavaScript. You can embed it into C++ and Rust projects, and it can be run as a stand-alone shell. It can also be [compiled](https://bytecodealliance.org/articles/making-javascript-run-fast-on

@bahamas10
bahamas10 / termcap.bash
Last active April 20, 2026 08:17
Colorize Manpages on the Terminal
# annotated by dave eddy (@yousuckatprogramming)
# explained - https://youtu.be/D0sG2fj0G4Y
# borrowed heavily from https://grml.org
# Begin blinking text mode
# I just use bold red here since my terminal has blinking disabled
export LESS_TERMCAP_mb=$'\e[1;31m'
# Begin bold text mode
export LESS_TERMCAP_md=$'\e[1;31m'