mehdimashayekhi

Building OpenClaw From First Principles

A deep dive into personal AI assistant architecture

This tutorial teaches you how persistent, tool-using AI assistants actually work by building one from scratch. We'll start with a basic chatbot and incrementally add features until we understand every major component of OpenClaw's architecture.

What you'll learn:

• How to give AI assistants persistent memory across conversations
• How tool calling works and why it's powerful
• How to build a gateway that connects multiple messaging platforms

mehdimashayekhi

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)