karpathy

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.

thothagent

How to Run Hermes Agent 24/7 on a VPS — Steven's Setup Guide

This guide is for anyone who wants to run Hermes Agent always-on without keeping their personal computer on. It's written for beginners — you don't need to know Linux or sysadmin work to get this working.

What Is Hermes Agent?

Hermes is an open-source AI agent from Nous Research. It runs on a server (or VPS), connects to your messaging apps (Telegram, Discord, etc.), and can execute tasks, browse the web, manage files, and more — 24 hours a day, 7 days a week.

The heavy AI processing happens via external API (OpenRouter, OpenAI, etc.) — the VPS just runs the coordinator.

r17x

Design Thinking

X → Graph → Effect<A, E, R>
│              │   │  │  │
│              │   │  │  └─ what each node needs     (§5)
│              │   │  └──── where the graph breaks   (§4)
│              │   └─────── what flows through nodes  (§2)
│              │
│ └─ nodes = functions, edges = data flow

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

ossa-ma

AI Writing Tropes to Avoid

Add this file to your AI assistant's system prompt or context to help it avoid common AI writing patterns. Source: tropes.fyi by ossama.is

---

Word Choice

"Quietly" and Other Magic Adverbs

harryhare

<?xml version="1.0" encoding="utf-8"?>
<CheatTable CheatEngineTableVersion="26">
  <CheatEntries>
    <CheatEntry>
      <ID>19</ID>
      <Description>"cost no stamina(AOB)"</Description>
      <LastState/>
      <VariableType>Auto Assembler Script</VariableType>
      <AssemblerScript>{ Game   : Stardew Valley.exe
  Version: 

laixintao

------------------------------commit------------------------------
$ git status                                    # 检查文件当前的状态
$ git add [文件名]                               # 追踪新的文件
$ git diff --cached                             # 若要看已经暂存起来的文件和上次提交时的快照之间的差异
$ git commit -m "Story 182: Fix benchmark"      # 用一行命令提交更新
$ git commit -a -m 'added new benchmarks'       # 跳过add命令直接提交
$ git rm --cached log.log                       # 从git仓库中删除不小心追踪的文件（用于gitignore之前追踪的文件）                   
$ git mv file_from file_to                      # 移动文件/重命名文件

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