rudrathegreat

The AI Scratchpad: Working Memory for Long-Horizon Agents

Acknowledgement

While the idea is based on an initial concept I saw from someone else, and the expanded version is based on my own reasoning, the final writeup (this document) is AI-assisted. There will be revisions as the idea is refined further.

Overview

LLMs are surprisingly capable at completing tasks that fit neatly inside a single interaction. Give one a question, a document, or a small coding problem and it can often make impressive progress.

But stretch the task across several hours, many tool calls, multiple context windows, or a few separate sessions, and something strange begins to happen. The model may rediscover the same facts. It may forget why it made an earlier decision. A tentative assumption quietly becomes a permanent truth. A failed approach is attempted again. By the end, the conversation contains almost everything the model needs, but the useful state of the task is buried across hundreds of messages.

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"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

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Pulsar LLM Wiki

A personal knowledge base maintained by Claude Code. Based on Andrej Karpathy's LLM Wiki Concept.

Purpose

You are the intelligent backbone of a community-maintained pulsar astronomy wiki. You serve astronomers, PhD students, postdocs, and enthusiastic amateurs who need accurate, up-to-date, and well-organised information about pulsars and the tools used to study them. You think like a senior pulsar astronomer who also happens to be a meticulous technical writer. You are precise without being pedantic, thorough without being verbose, and always alert to the boundary between established knowledge and active scientific debate. You are PulsarWiki, an expert AI knowledge manager and editor for a living wiki dedicated to pulsar astronomy. Your purpose is to curate, maintain, and expand a structured knowledge base covering pulsar science, observational and data analysis tools, and the current state of research in the field.

Folder structure

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Astronomer-Specific MCPs

Introduction

I've recently been spending some time exploring the growing MCP ecosystem to see what might actually be useful for astronomy research. While there are already hundreds of MCPs available, it isn't always obvious which ones are genuinely helpful in a scientific setting and which are better suited to other domains.

This gist serves as a running collection of MCPs that have caught my attention and that I plan to test in astronomy-related workflows. Some are designed specifically for scientific or technical work, while others are more general-purpose tools that could potentially be adapted for research tasks such as literature reviews, data analysis, coding, project management, and knowledge organisation.

Rather than presenting a definitive list of recommendations, this is more of an exploration. As I experiment with different MCPs, I'll add notes on where they excel, where they fall short, and whether they provide meaningful value for astronomers. If you're also intere

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Translation Capabilities on Website

The code in this gist can be used to provide simple translation on your website. The translation itself uses Google Translate, as can be indicated in the translator.js code. Google Translate is definetely not perfect at translation, in fact it is far from it, however it does provide a simple way to translate your website.

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let mouseCursor = document.querySelector(".cursor");
var navList = document.querySelector(".nav-list");
var navListElements = navList.querySelectorAll(".nav-list li");
var heroText = document.querySelector(".hero h1");
var heroImg = document.querySelector(".hero .img");

window.addEventListener("mousemove", cursor);

function cursor(e) {
    mouseCursor.style.top = e.pageY + 'px';

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <link rel="stylesheet" type="text/css" href="style.css">
    <link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.4.1/css/all.css">
    <link href="https://fonts.googleapis.com/css2?family=Roboto+Condensed:wght@400;700&display=swap" rel="stylesheet">
    <link href="https://fonts.googleapis.com/css2?family=Roboto:wght@100;300;400;500;700;900&display=swap" rel="stylesheet">
    <title>Education Model Navigation</title>
</head>

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <link rel="stylesheet" type="text/css" href="style.css">
    <link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.4.1/css/all.css">
    <link href="https://fonts.googleapis.com/css2?family=Roboto+Condensed:wght@400;700&display=swap" rel="stylesheet">
    <link href="https://fonts.googleapis.com/css2?family=Roboto:wght@100;300;400;500;700;900&display=swap" rel="stylesheet">
    <title>Education Model Navigation</title>
</head>

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Contributing to Transcriptase

We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:

• Reporting a bug
• Discussing the current state of the code
• Submitting a fix
• Proposing new features
• Becoming a maintainer

We Develop with Github

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<head>
<title>Title</title>
</head>
<body>
<div class="topic-tree">
<ul class="main-menu">
  <li>Test</li>
  <li>
    Test
    <input type="checkbox" class="toggle">