Steve Withington stevewithington

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.

Ultralight Orchestration

A minimal multi-agent system with an orchestrator, a planner, a coder, and a designer working together providing orchestration between Claude, Codex and Gemini.

Instructions

Install all agents listed below into VS Code Insiders...

Title	Type	Description

Setting Up MCP Servers on Windows

A step-by-step guide to setting up Model Context Protocol (MCP) servers for Claude Desktop on Windows.

Prerequisites

Install Node.js (v18.x or later)
- Download from: https://nodejs.org/
- Verify installation by opening Command Prompt (CMD) and running:
```
node --version
npm --version
```

Brew Bundle Brewfile Tips

Copyright & License

Unless otherwise noted (either in this file or in a file's copyright section) the contents of this gist are Copyright ©️2020 by Christopher Allen, and are shared under spdx:Creative Commons Attribution Share Alike 4.0 International (CC-BY-SA-4.) open-source license.

Sponsor

If you more tips and advice like these, you can become a monthly patron on my GitHub Sponsor Page for as little as $5 a month; and your contributions will be multipled, as GitHub is matching the first $5,000! This gist is all about Homebrew, so if you like it you can support it by donating to them or becoming one of their Github Sponsors.

	#!/usr/bin/env ruby
	# Generate a dbdiagram for dbdiagram.io from a dbt project.
	#
	# Usage:
	# 1. Run `dbt docs generate` first.
	# 2. Run `dbt_to_dbdiagram.rb`
	# 3. Paste the output in https://dbdiagram.io/

	require 'yaml'
	require 'json'

	More recent resolution:

	1. cd ~/../../etc (go to etc folder in WSL).
	2. echo "[network]" \| sudo tee wsl.conf (Create wsl.conf file and add the first line).
	3. echo "generateResolvConf = false" \| sudo tee -a wsl.conf (Append wsl.conf the next line).
	4. wsl --terminate Debian (Terminate WSL in Windows cmd, in case is Ubuntu not Debian).
	5. cd ~/../../etc (go to etc folder in WSL).
	6. sudo rm -Rf resolv.conf (Delete the resolv.conf file).
	7. In windows cmd, ps or terminal with the vpn connected do: Get-NetIPInterface or ipconfig /all for get the dns primary and
	secondary.

	create function [dbo].[ToUTF8](@s nvarchar(max))
	returns varbinary(max)
	as
	begin
	declare @i int = 1, @n int = datalength(@s)/2, @r varbinary(max) = 0x, @c int, @c2 int, @d varbinary(4)
	while @i <= @n
	begin
	set @c = unicode(substring(@s, @i, 1))
	if (@c & 0xFC00) = 0xD800
	begin

	#
	# Cutom Environment Variables for Tomcat
	#
	############################################
	export JAVA_HOME=/usr/lib/jvm/java-7-oracle/jre
	export PATH=${JAVA_HOME}/bin:${PATH}

	############################################
	#
	# JAVA_OPTS

	# Obtained with the code written in next file
	emoji_grinning_face=😀
	emoji_grinning_face_with_big_eyes=😃
	emoji_grinning_face_with_smiling_eyes=😄
	emoji_beaming_face_with_smiling_eyes=😁
	emoji_grinning_squinting_face=😆
	emoji_grinning_face_with_sweat=😅
	emoji_rolling_on_the_floor_laughing=🤣
	emoji_face_with_tears_of_joy=😂
	emoji_slightly_smiling_face=🙂