Jia craftslab

openclaw docker

Setting

Clone

git clone https://github.com/openclaw/openclaw.git

openclaw chrome

Install

curl -LO https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
sudo apt install ./google-chrome-stable_current_amd64.deb
sudo apt --fix-broken install

sudo apt-get update

SSH Tunneling on Windows WSL2 for Both Web and Git

This guide uses one SSH SOCKS tunnel for both:

Browsing websites like https://github.com
Pushing Git over HTTPS, e.g. https://github.com/codex-router/codex.gerrit.git

1) Start SSH SOCKS tunnel in WSL2

Open WSL terminal and run:

Ubuntu 24.04 GUI over VNC

This guide installs a desktop GUI on Ubuntu 24.04 and exposes it through VNC. Use XFCE for a lightweight setup, or GNOME for a full Ubuntu desktop.

1) Install desktop + VNC server

# Option A (lightweight): XFCE
sudo apt update

nfs config

Prerequisites

CentOS 8 under WSL2
Disable Docker Desktop

Set wsl

centos settings

Pull image

docker pull quay.io/centos/centos:8
docker create --name centos-8 quay.io/centos/centos:8
docker export centos-8 -o centos-8.tar
docker rm centos-8

openai-agents mcp

Run

python -m venv .venv
source .venv/bin/activate

pip install -r requirements.txt
npm install -g @modelcontextprotocol/server-filesystem

langfuse prompt

pip install langfuse
python main.py

Reference

langfuse-prompt

	@echo off

	REM Test: wsl -e script -q -c "sshpass -p '...' ssh -t -o ... user@host"
	REM Set TEST_SSH_* and optionally WSL_DISTRO. Run "wsl -l -v" to see distro names.
	if "%TEST_SSH_USER%"=="" set TEST_SSH_USER=your_name
	if "%TEST_SSH_HOST%"=="" set TEST_SSH_HOST=your_host
	if "%TEST_SSH_PORT%"=="" set TEST_SSH_PORT=22
	if "%TEST_SSH_PASSWORD%"=="" set TEST_SSH_PASSWORD=your_password

	REM Use the distro where sshpass is installed (e.g. Ubuntu-24.04). Default = Ubuntu.

	"""
	The most atomic way to train and inference 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