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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.

@Vendicated
Vendicated / evidence.md
Last active May 29, 2026 15:43
Nightcord is actually malware

Nightcord is actually malware

Version 1.18.2 of Nightcord contained a TokenLogger

Never lose your Discord token ever again, thanks to Nightcord's ✨ PREMIUM SYNC ✨ services! This code found in v1.18.2 uploads your Discord token to Nightcord's Server. image

Details How to verify this is real
@Klerith
Klerith / instalaciones-prompt.md
Last active May 29, 2026 15:32
Instalaciones y herramientas recomendadas para el curso de Prompt Engineering
Ingeniería de

Ingeniería de prompts: Para la vida real

No hay una necesidad de trabajar con un modelo en particular. De todos modos, hoy el mejor es uno; mañana es otro.

Servicios

@ajfisher
ajfisher / 0x00000.bin
Last active May 29, 2026 14:46
ESP8266 Transparent bridge to J5

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