---
title: "Why LLM Wiki? 🧠 Future Of Knowledge For Agentic AI & Humans"
source_url: https://youtu.be/n4EVksU_EOs
captured_at: 2026-04-26
author: "Wanderloots"
contributor: "ชิดชนก"
platform: youtube
---
# Why LLM Wiki? 🧠 Future Of Knowledge For Agentic AI & Humans

youtube video by **Wanderloots**, 11m18s, uploaded 2026-04-25. URL: https://youtu.be/n4EVksU_EOs
Tags: obsidian, notes, note taking, Non-Linear, Obsidian notes, future proof, obsidian organization, obsidian tutorial, notion vs obsidian, andrej karpathy, llm wiki, agentic ai, ai, ai agents, knowledge graph, knowledge graphs llm, retrieval augmented generation, graphrag, universal brain, ai memory, persistent memory ai, shared memory, claude code, anti gravity google, codex, chatgpt, hermes agent, op

## Shared in LINE Note+
- 2026-04-26 11:07 by ชิดชนก

## Description
Why do we need a LLM wiki? What is the future of shared knowledge between AI & Humans? In today's video, I explore how building a shared memory layer for EVERY AI tool can benefit both your human & AI knowledge systems, forever. Part 2 (How): 
Check out "The Book" here for 10% off:  (Use code: WANDERLOOTS10)

My goal for today's video is to help you understand how to future proof your knowledge systems for both yourself and for AI, so you don't lose your work, ideas, and knowledge between tools. The solution? A custom wiki.

The LLM Wiki has been gaining popularity lately as a result of Andrej Karpathy's github post, but it's a concept that has been around for years. Knowledge Graphs can significantly improve the quality and efficiency of AI tools as compared to standard RAG (retrieval augmented generation), especially for complex systems. 

But... that's a bit complex. It's helpful to start by understanding what a knowledge graph is from a basic level, how it can be used alongside traditional AI query systems, and how you can easily get started with building yours today in Obsidian. 

Obsidian has been one of my favourite tools for years, where I've built my second brain, my perso