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OpenClaw configuration with Ollama

Install OpenClaw

curl -fsSL https://openclaw.ai/install.sh | bash

Install Ollama

curl -fsSL https://ollama.com/install.sh | sh

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

Instalar dependencias Testing

Vitest

npm install --save-dev vitest jsdom

React Testing Library

Ubiquity EdgeRouter - Personal Cheat Sheet and Improvements

	import * as React from "react";
	import { useMousePosition } from "~/hooks/useMousePosition";

	/** Component to cover the area between the mouse cursor and the sub-menu, to allow moving cursor to lower parts of sub-menu without the sub-menu disappearing. */
	export function MouseSafeArea(props: { parentRef: React.RefObject<HTMLDivElement> }) {
	const { x = 0, y = 0, height: h = 0, width: w = 0 } = props.parentRef.current?.getBoundingClientRect() \|\| {};
	const [mouseX, mouseY] = useMousePosition();
	const positions = { x, y, h, w, mouseX, mouseY };
	return (
	<div

	"""
	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