Lulzx

Agent Infrastructure Convergence Signals

Weekly GitHub Scan — January 20, 2026

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The Big Three Coordination Points

1. x402 Protocol (HTTP 402 Payment Required)

The clearest crystallization of machine-native money

Lulzx

<core_identity> You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable. </core_identity>

<general_guidelines>

• NEVER use meta-phrases (e.g., "let me help you", "I can see that").
• NEVER summarize unless explicitly requested.
• NEVER provide unsolicited advice.
• NEVER refer to "screenshot" or "image" - refer to it as "the screen" if needed.
• ALWAYS be specific, detailed, and accurate.

Lulzx

Untitled Project

A project created by Lulzx on LiveCodes.

Lulzx

// Made by @charlestehio: https://x.com/charlestehio
// Usage: https://abc.workers.dev/?query=your%20embedding%20query

import { Ai } from './vendor/@cloudflare/ai.js';

export default {
  async fetch(request, env) {
    // Parse the URL to get query parameters
    const url = new URL(request.url);
    var query = url.searchParams.get('query');

Lulzx

{
"meta": {
"theme": "onepage-plus"
},
"basics": {
"name": "Rishabh Singh",
"label": "Web Developer",
"image": "",
"summary": "I'm a full stack web developer who can build apps from the ground up. I've worked mostly at startups so I am used to wearing many hats. I am a very product focused developer who prioritizes user feedback first and foremost. I'm generally very flexible when investigating new roles. ",
"website": "https://lulzx.com",

Lulzx

import asyncio
from aiogram import Bot, Dispatcher, types

bot = Bot(token='TOKEN')
dp = Dispatcher(bot)

@dp.chat_join_request_handler()
async def handle_chat_join_request(chat_join_request: types.chat_join_request.ChatJoinRequest):
    user_id = chat_join_request.from_user.id
    channel_id = chat_join_request.chat.id

Lulzx

import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D

def calc_score(discount_percentage, average_rating):
    return 1 / (1 + np.exp(-((2 * discount_percentage / 100) + (average_rating / 5) - np.maximum(0, 4 - average_rating))))

discount_percentages = np.linspace(0, 50, 100)
average_ratings = np.linspace(0, 5, 100)

Lulzx

const parseChapters = (description) => {
  // Extract timestamps (either 00:00:00, 0:00:00, 00:00 or 0:00)
  const lines = description.split("\n")
  const regex = /(\d{0,2}:?\d{1,2}:\d{2})/g
  const chapters = []

  for (const line of lines) {
    // Match the regex and check if the line contains a matched regex
    const matches = line.match(regex)
    if (matches) {

Lulzx

s = "abcabcbb"
t = []
c = 0
n = 0
for i in s:
  if i in t:
    if c > n:
      n = c
      c = 0
      t = [i]

Lulzx

#include <stdio.h>

int findMin(int arr[], int n)
{
    int min = arr[0];
    for (int i = 1; i < n; ++i) {
        if (arr[i] < min) {
            min = arr[i];
        }
    }