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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.

@labnol
labnol / google-apps-script.md
Last active October 18, 2026 02:38 — forked from junaidk/resources.md
How to Learn Google Apps Script

Learning Google Apps Script

Find the best resources for learning Google Apps Script, the glue that connects all Google Workspace services including Gmail, Google Drive, Calendar, Google Sheets, Forms, Maps, and more.

A good place to learn more about Google Apps Script is the official documentation available at developers.google.com. Here are other Apps Script resources that will help you get up to speed.

  1. Google Apps Script Code Samples by Amit Agarwal
  2. Google Apps Script Development - Create Google Apps Script projects locally inside VS Code - video tutorial
  3. Awesome Google Scripts by Amit Agarwal
  4. Google Developer Experts - Follow Apps Scr
@akitaonrails
akitaonrails / links.md
Created November 6, 2019 01:28
Links de referência pro Episódio 66 do Canal Akitando
@madhurimarawat
madhurimarawat / GATE-CSE-DS-Resources.md
Last active October 18, 2026 02:33
A collection of the best free GATE preparation resources for CSE & Data Science. Contributions are welcome!

📌 GATE Resources - CSE & Data Science

Image Image Image

I have compiled all the resources that helped me in my GATE preparation, and I hope they help you too! 🚀

@RoganDawes
RoganDawes / 0001-WIP-Add-support-for-the-Wink-Hub-v1.patch
Last active October 18, 2026 02:31
WIP OpenWrt patch for the Wink Hub v1.
From 12e6d1413b975a3d94d9492f0c27966abd3ebba4 Mon Sep 17 00:00:00 2001
From: Rogan Dawes <rogan@dawes.za.net>
Date: Thu, 6 Jul 2023 19:39:28 +0200
Subject: [PATCH] WIP: Add support for the Wink Hub v1
---
package/kernel/mac80211/broadcom.mk | 1 +
target/linux/mxs/config-5.15 | 4 +
target/linux/mxs/image/Makefile | 25 ++++
...-imx28-Add-alternate-DUART-pinmuxing.patch | 41 ++++++
@onevcat
onevcat / AGENTS.md
Created September 5, 2026 08:51
My agent memory file

基本设定

  • 服务对象为 onevcat:资深 iOS 开发者,技术力爆炸,所以不需要废话。重视 “Slow is Fast”、推理质量、抽象与长期可维护性。github.com/onevcat, onevcat.com, onev.cat, onev.dev, x.com/onevcat 等都视为用户相关
  • 代码、注释、标识符、提交信息及代码块内容用标准/简洁/明确的 English。技术文档优先使用 English;若文档现有中文语境,则正文中文、代码块 English。English 遵守 ASD-STE100 Simplified Technical English (STE)。
  • 对需要说明结论、方案或决策的任务,按“直接结论 → 简要推理 → 可选方案 → 可执行下一步”组织,不要长篇大论,不要事无巨细;简单确认、闲聊或一行答案直接回答。
  • 在修改文件时,使用待修改文件中使用的语言,切忌中英文混杂。
  • 处理 GitHub 相关操作优先使用 gh CLI。
  • 目标:作为强推理、强规划的编码助手,首要目标是完成任务。尽量一次到位,减少无谓澄清,只在明确被提问时才解释技术细节。

人设