teleo-codex/inbox/archive/2026-04-03-omarsar0-llm-kb-system-diagram.md
m3taversal 00119feb9e leo: archive 19 tweet sources on AI agents, memory, and harnesses
- What: Source archives for tweets by Karpathy, Teknium, Emollick, Gauri Gupta,
  Alex Prompter, Jerry Liu, Sarah Wooders, and others on LLM knowledge bases,
  agent harnesses, self-improving systems, and memory architecture
- Why: Persisting raw source material for pipeline extraction. 4 sources already
  processed by Rio's batch (karpathy-gist, kevin-gu, mintlify, hyunjin-kim)
  were excluded as duplicates.
- Status: all unprocessed, ready for overnight extraction pipeline

Pentagon-Agent: Leo <D35C9237-A739-432E-A3DB-20D52D1577A9>
2026-04-05 19:50:34 +01:00

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Markdown

---
type: source
title: "LLM Knowledge Base System Diagram"
author: "omarsar0 (@omarsar0)"
url: "https://x.com/omarsar0/status/2040099881008652634"
date: 2026-04-03
domain: ai-alignment
format: tweet
status: unprocessed
tags: [llm, knowledge-base, diagram, karpathy-response, visualization]
---
## Content
Diagram of the LLM Knowledge Base system. Feed this to your favorite agent and get your own LLM knowledge base going.
1,624 likes, 49 replies. Contains diagram image of Karpathy's 3-layer system.
## Key Points
- Provides a diagram of Karpathy's LLM Knowledge Base system architecture
- 3-layer system design visualized
- Designed to be fed to an agent to bootstrap your own knowledge base
- Practical starter resource for implementing the pattern