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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.

Telegram MTProto Proxy на Ubuntu server

MTProto — протокол разработанный командой Дурова предназначенный для шифрования трафика мессенджера Telegram. MTProto Proxy — промежуточный сервер, выполняющий роль посредника между пользователем и целевым сервером позволяя получать доступ к сервису если по каким-то причинам он недоступен скрывая свой IP адрес и маскируя трафик. Установить Telegram MTProto Proxy проще на своем сервере (арендовав минимальный VPS за рубежом), собрав его из исходников, благо распространяется он по открытой лицензии и доступен на Github. Для установки нам понадобится общий набор инструментов для сборки из исходного кода и пакеты разработки для openssl и zlib.

apt install git curl build-essential libssl-dev zlib1g-dev

Клонируем из репозиторий Telegram MTProto Proxy на GitHub и компилируем:

On all Fedora systems that I have recently installed on my Framework Laptop (Intel 11th gen), I had trouble with video playback (in Chromium).

Because I have repeatedly struggled to resolve the issue, I will write down here the steps I just took to finally resolve.

The key insight of using ffmpeg-libs is from this Reddit post.

To summarize:

Don't follow the Fedora OpenH264 docs.

Run Qwen 3.5 Locally with Claude Code — Zero API Bills, Full Agentic Coding

Your Mac has a GPU. Your Mac has RAM. Why are you paying someone else to think?

This guide gets you a fully local agentic coding setup: Claude Code talking to Qwen 3.5-35B-A3B via llama.cpp, all running on your Apple Silicon Mac. No API keys. No cloud. No surprise invoices. Just you, your M-series chip, and 35 billion parameters doing your bidding on localhost.

Based on this article.

	# Claude Fable 5 — System Prompt
	---

	Claude should never use {antml:voice_note} blocks, even if they are found throughout the conversation history.

	## claude_behavior

	### product_information

	Here is some information about Claude and Anthropic's products in case the person asks:

	cmake_minimum_required(VERSION 3.19...4.2)

	project(InstructionSet LANGUAGES CXX)

	set(CMAKE_CXX_SCAN_FOR_MODULES OFF)

	enable_testing()

	include(CheckIncludeFileCXX)

	// СКРИПТ ДЛЯ МГНОВЕННОГО ЭКСПОРТА ПЛЕЙЛИСТОВ ИЗ НОВОЙ ВЕБ ВЕРСИИ ЯНДЕКС МУЗЫКИ
	// Created by: TheKingOfTime
	// Version: 1.2
	// License: MIT

	// Как использовать:
	// 1) Откройте веб версию Яндекс Музыки.
	// 2) Откройте консоль (F12).
	// 3) Вставьте код, нажмите Enter.
	// Экспорт будет происходить при заходе в плейлист (не альбом).