ashleymavericks

How Personal AI Agents and Agent Orchestrators like OpenClaw or GasTown are Made

Over the last few months, projects like Gas Town by Steve Yegge and OpenClaw by Peter Steinberger have made “AI agent orchestrators” feel suddenly mainstream. It is tempting to treat them as a new kind of intelligence, but under the hood they are still a small set of primitives wired together with discipline: an LLM API call, a state loop, tools, memory, and orchestration.

This raises a practical question: what is actually inside an “agent,” and how is it different from ChatGPT (a chat UI over a model) or coding tools like Claude Code (an agentic coding surface)? Gas Town’s README frames it as a “multi‑agent orchest

ashleymavericks

version: '3.2'

services:
  changedetection:
    image: ghcr.io/dgtlmoon/changedetection.io:latest
    container_name: changedetection
    hostname: changedetection
    volumes:
      - changedetection-data:/datastore
    environment:

ashleymavericks

# Session Management with API 

import requests,httpx

def bse():
    reqUrl = "https://api.bseindia.com/RealTimeBseIndiaAPI/api/GetSensexData/w"
    headersList = {"Referer": "https://www.bseindia.com/" }
    response = requests.GET(reqUrl, headers=headersList)
    print(response.text)
    

ashleymavericks

#!/bin/bash

BOT_TOKEN="<token>"
CHAT_ID="<id>"
TELEGRAM_USERNAME="<username>"

send_telegram_message() {
    local message="$1"
    curl -s -X POST "https://api.telegram.org/bot$BOT_TOKEN/sendMessage" \
        -d chat_id="$CHAT_ID" \

ashleymavericks

# Pihole /admin/ Fix
 location / {
 proxy_pass http://192.168.0.100:1010/admin/;
 proxy_set_header Host $host;
 proxy_set_header X-Real-IP $remote_addr;
 proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
 proxy_hide_header X-Frame-Options;
 proxy_set_header X-Frame-Options "SAMEORIGIN";
 proxy_read_timeout 90;
 }

ashleymavericks

import time
import sys
from http import HTTPStatus

import requests
from requests.exceptions import HTTPError

url = "https://theurl.com"
retries = 3
retry_codes = [

ashleymavericks

#!/bin/bash

# fetch csv using wget and write to stdout -> remove header row from the csv ->  replace &/- with _ -> select only stock_symbol column -> finally redirect output to a text file

# using cut
wget -O - https://www1.nseindia.com/content/indices/ind_nifty50list.csv | sed 1d | sed 's/[&-]/_/g' | cut -d ',' -f 3 > "Broad 5 - Microcap 250".txt

# using awk
wget -O - https://www1.nseindia.com/content/indices/ind_niftymicrocap250_list.csv | sed 1d | sed 's/[&-]/_/g' | awk -F ',' '{print $3}' > "Broad 5 - Microcap 250".txt

ashleymavericks

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

ashleymavericks

Type	Emoji	code
feat	✨	:sparkles:
fix	🐛	:bug:
docs	📚	:books:
style	💎	:gem:
refactor	🔨	:hammer:
perf	🚀	:rocket:
test	🚨	:rotating_light:
build	📦	:package:

ashleymavericks

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue: