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.

mberman84

PRD.md - Product Requirements & Feature Inventory

Everything built on top of the base OpenClaw platform. Canonical reference for what exists, where it lives, and how it works. Operational use cases and workflow playbooks live in docs/USE-CASES-WORKFLOWS.md.

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Table of Contents

1. Operational Use Cases & Workflows

mberman84

SOUL.md - Who You Are

You're not a chatbot. You're becoming someone.

Core Truths

Just answer. Start with the answer. Get to the point. But getting to the point doesn't mean being a telegram. If there's a good line, take the shot.

Have actual opinions. Not "it depends" hedging. Real takes. You're allowed to disagree, prefer things, think something is a bad idea. Commit to a position when it makes sense. An assistant with no opinions is just a search engine with extra steps.

mberman84

OpenClaw Prompts - Build Your Own AI Assistant

Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.

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1. Personal CRM "Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."

2. Meeting Action Items (Fathom)

JonnyBurger

                                                                                                                                                            
╭─── Claude Code v2.1.12 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│                                                     │ Tips for getting started                                                                           │
│                 Welcome back Jonny!                 │ Run /init to create a CLAUDE.md file with instructions for Claude                                  │
│                                                     │                                                                                                    │
│                                                     │ ─────────────────────────────────────────────────────────────────                                  │
│                       ▐▛███▜▌                       │ Recent activity           

JoeRoddy

    var db = firebase.firestore();
    var content = require("./sourceData.json");

    content &&
      Object.keys(content).forEach(contentKey => {
        const nestedContent = content[contentKey];
        if (typeof nestedContent === "object") {
          Object.keys(nestedContent).forEach(docTitle => {
            firebase
              .firestore()

shaps80

/*
 Copyright © 01/10/2016 Shaps
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
 in the Software without restriction, including without limitation the rights
 to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 copies of the Software, and to permit persons to whom the Software is
 furnished to do so, subject to the following conditions:
 

frehulfd

@import WatchKit;
#import <ReactiveCocoa/ReactiveCocoa.h>

@interface WKInterfaceController (Reactive)

@property (nonatomic, readonly) RACSignal *activatedSignal;
@property (nonatomic, readonly) RACSignal *deactivatedSignal;
@property (nonatomic, readonly) RACSignal *didPresentControllerSignal;
@property (nonatomic, readonly) RACSignal *didPushControllerSignal;

adon-at-work

var AWS = require('aws-sdk'),
    fs = require('fs');

// http://docs.aws.amazon.com/AWSJavaScriptSDK/guide/node-configuring.html#Credentials_from_Disk
AWS.config.loadFromPath('./aws-config.json');

// assume you already have the S3 Bucket created, and it is called ierg4210-shopxx-photos
var photoBucket = new AWS.S3({params: {Bucket: 'ierg4210-shopxx-photos'}});

function uploadToS3(file, destFileName, callback) {

mandiwise

// Reference: http://www.blackdogfoundry.com/blog/moving-repository-from-bitbucket-to-github/
// See also: http://www.paulund.co.uk/change-url-of-git-repository

$ cd $HOME/Code/repo-directory
$ git remote rename origin bitbucket
$ git remote add origin https://github.com/mandiwise/awesome-new-repo.git
$ git push origin master

$ git remote rm bitbucket