dabit3

See more of my writing here. Also check out Devin

In this post, I'll start from scratch and build up to OpenClaw's architecture step by step, showing how you could have invented it yourself from first principles, using nothing but a messaging API, an LLM, and the desire to make AI actually useful outside the chat window.

End goal: understand how persistent AI assistants work, so you can build your own (or become an OpenClaw power user).

First, let's establish the problem

When you use ChatGPT or Claude in a browser, there are several limitations:

brookst

#!/usr/bin/env python3
__author__ = "Tim Brooks"
__email__ = "brooks@skoorb.net"
__date__ = "2024-04-23"

import datetime
from enum import Enum, Flag
import logging
import serial
import serial.tools.list_ports as list_ports

NikolayIT

namespace LinearRegression
{
    using System;
    using System.Diagnostics;

    public static class Program
    {
        public static void Main()
        {
            var xValues = new double[]

purwantoid

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace FANN
{
    public class FANN
    {

netj

socratescli

//http://data-matters.blogspot.com/2008/07/simple-implementation-of-dtwdynamic.html

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Collections;

namespace DTW
{