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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.

@hungson175
hungson175 / coding-agents-memory-config-research.md
Created June 23, 2026 00:19
Unifying AGENTS.md / CLAUDE.md long-term-memory instruction files across coding agents (Codex, Kimi Code, MiMo Code, Cursor, Antigravity CLI, OpenCode) — research, June 2026

Unifying the "long-term memory" instruction file (AGENTS.md / CLAUDE.md) across coding agents

Research date: 23 June 2026 · Scope: Codex CLI, Kimi Code CLI, MiMo Code, Cursor (cursor-agent), Antigravity CLI (agy), OpenCode. Claude Code excluded (already known). Multi-agent cited research.


TL;DR

  1. Project-level AGENTS.md is effectively universal. Every tool here reads an AGENTS.md at the repo root. Your existing AGENTS.md → CLAUDE.md symlink per project already works for all of them.
  2. Global instructions are the messy part — each tool reads a different global path, and two of the tools have no global instructions file at all.
@LessUp
LessUp / glm-coding-plan-rush-helper.user.js
Last active June 24, 2026 03:29
⚡ GLM Coding Rush — 智谱编程助手一键抢购脚本 | Auto-Purchase Userscript for GLM Coding | 自动解锁售罄 · 高速重试 · 定时触发 · 支付保护 · 中英双语面板 | Auto-unlock sold-out · High-speed retry · Scheduled trigger · Payment guard · Bilingual panel | Tampermonkey/Violentmonkey | 点击 Raw 安装 · Click Raw to install
// ==UserScript==
// @name GLM Coding Rush - 智谱编程助手抢购脚本
// @namespace https://gist.github.com/LessUp
// @version 1.1.0
// @description 智谱 GLM Coding 一键抢购脚本 — 自动解锁售罄按钮 / 高速重试引擎 / bizId 双重校验 / 错误弹窗自动恢复 / 支付弹窗保护 / 秒级定时触发 / 可拖拽浮动面板
// @author LessUp
// @match *://www.bigmodel.cn/*
// @match https://bigmodel.cn/glm-coding*
// @run-at document-start
// @grant none
@miticollo
miticollo / build_frida.sh
Last active June 24, 2026 03:08
How to build frida-server (≥ 16.2.2) for iOS jailbroken devices
#!/usr/bin/env bash
#
# Build Frida DEB.
# register the cleanup function to be called on the EXIT signal
trap cleanup INT
#######################################
# Deletes the temp directory.
# Globals:
@k16shikano
k16shikano / SKILL.md
Last active June 24, 2026 03:22
japanese-tech-writing/SKILL
name japanese-tech-writing
description 日本語の技術文書・書籍原稿の文章規範。整形(一文一行、引用ブロック、脚注、コラム記法)、段落と論証の構成(パラグラフライティング)、論証の厳密さ(ツッコミどころの除去)、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿(書籍の章、記事、解説文)を書く・推敲するときは、以下の規範に従う。

整形

@PangTianHua
PangTianHua / hermes-list.md
Last active June 24, 2026 02:38
AI Agent / 大模型应用开发优质仓库收藏

GitHub Hermes List

用户收藏的 AI Agent / 大模型应用开发相关优质仓库,持续更新。 所有仓库均已 ⭐ Star。


🔥 今日新发现(2026-06-24)

今天筛选出的新项目,共 9 个

@Pythonation
Pythonation / prompt.md
Last active June 24, 2026 02:25
3 PROMPTS OF CODING AGENTS

1. برومبت التخطيط المطوّر (The Planning Protocol)

[الدور والمسؤولية] أنت الآن تعمل بصفة Staff Software Engineer ومدير تقني Tech Lead. مهمتك التخطيط المعماري الصارم للمشروع التالي: [أدخل وصف المشروع هنا]

[قواعد ما قبل التتخطيط] قبل البدء بالبروتوكولات، يجب أن تطبق مبدأ "Think Before Coding":