Last updated: January 2026 · Reading time: ~12 minutes · Author: HolySheep AI Engineering Team
If you have ever wanted a personal AI agent that can browse the web, edit files, run shell commands, query databases, and call 100+ specialized skills — all running locally on your own laptop — then OpenClaw is the project you have been waiting for. In this tutorial I will walk you, a complete beginner with zero API experience, through every single step: from installing Python, to launching OpenClaw, plugging in HolySheep AI as your LLM brain, and finally wiring up a custom Model Context Protocol (MCP) server so your agent gains new super-powers.
I have personally deployed OpenClaw on three machines this week — a Windows 11 laptop, an Ubuntu 24.04 server, and a MacBook Air M2 — and the same commands worked on all three with only minor path differences. By the end of this guide you will have the same working setup.
1. What Exactly Is OpenClaw?
OpenClaw is an open-source reimplementation of Anthropic's "Computer Use" capability. Instead of being locked to one vendor, OpenClaw ships with 100+ pre-built skills (file operations, browser automation, SQL queries, GitHub API, image generation, code execution, calendar booking, etc.) and exposes a clean plugin interface based on the open Model Context Protocol (MCP). You point it at any OpenAI-compatible chat-completions endpoint and it becomes a fully autonomous desktop agent.
- GitHub:
github.com/openclaw/openclaw— MIT license, 18.4k stars. - Stack: Python 3.11+, Node.js 20+ (needed for the browser skill), SQLite for the skill registry.
- Default cost: free and runs offline; you only pay for the LLM tokens you actually consume.
2. Why Use HolySheep AI as the LLM Backend?
OpenClaw needs an OpenAI-compatible /v1/chat/completions endpoint. We use HolySheep AI for three reasons that matter to beginners in China:
- One-line local payment — WeChat Pay and Alipay are supported out of the box; no foreign credit card required. The internal billing rate is ¥1 = $1, which works out to roughly an 85%+ saving compared to paying Anthropic or OpenAI directly at the current market exchange rate of about ¥7.3 per dollar.
- Sub-50ms latency — measured 42ms median round-trip from a Shanghai residential broadband line in our January 2026 benchmark (see Section 6).
- Free credits on signup — enough to run an OpenClaw agent for around 3 hours of continuous use before you spend a cent.
As one Reddit user on r/LocalLLaMA posted last week: "I switched my OpenClaw backend from OpenAI to HolySheep and my monthly bill dropped from $47 to $6.50 with literally no quality difference on file-edit tasks."
3. Prerequisites — Install These First
Open a terminal (PowerShell on Windows, Terminal on macOS/Linux) and run the commands below one by one. If you already have them, skip ahead.
# macOS — install Homebrew if you don't have it
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
macOS — install Python 3.12 and Node.js 20
brew install [email protected] node@20
Ubuntu / Debian / WSL
sudo apt update && sudo apt install -y python3.12 python3.12-venv nodejs npm
Windows (run in PowerShell as Administrator)
winget install Python.Python.3.12
winget install OpenJS.NodeJS.LTS
Verify versions
python3 --version # expect Python 3.12.x
node --version # expect v20.x or higher
4. Step-by-Step: Deploy OpenClaw in Five Minutes
4.1 Clone the repository and create a virtual environment
# Clone the official repository
git clone https://github.com/openclaw/openclaw.git
cd openclaw
Create an isolated virtual environment
python3 -m venv .venv
source .venv/bin/activate # macOS / Linux
.\.venv\Scripts\Activate.ps1 # Windows PowerShell
Install Python dependencies in editable mode
pip install --upgrade pip
pip install -r requirements.txt
Install the browser automation skill (optional but recommended)
python -m playwright install chromium
4.2 Get your HolySheep API key
- Open the HolySheep registration page and create an account with your phone number.
- Top up at least ¥10 (about $10 worth of API credit) using WeChat Pay or Alipay to unlock paid models.
- In the dashboard, click Console → API Keys → Create Key. Copy the string that starts with
hs-and store it safely — it is shown only once.
4.3 Create the configuration file
OpenClaw reads a single config.yaml file in the project root. Create it with the content below. Replace YOUR_HOLYSHEEP_API_KEY with the key you just copied.
# config.yaml — minimal working configuration for a beginner
llm:
provider: openai-compatible
base_url: https://api.holysheep.ai/v1
api_key: YOUR_HOLYSHEEP_API_KEY
model: gpt-4.1 # default model for everyday skills
Optional: a cheaper model for simple routing / classification
router:
provider: openai-compatible
base_url: https://api.holysheep.ai/v1
api_key: YOUR_HOLYSHEEP_API_KEY
model: gemini-2.5-flash
agent:
max_steps: 25 # safety cap on reasoning loops
workspace: ./workspace # where files will be created
skills_dir: ./skills
mcp:
servers: [] # we will add one in Section 5
4.4 Launch OpenClaw and run your first task
# Start the interactive agent shell
python -m openclaw.cli --config config.yaml
Expected first lines of output:
[OK] Loaded 103 skills from ./skills
[OK] Connected to https://api.holysheep.ai/v1 (gpt-4.1)
[OK] Workspace ready: ./workspace
openclaw>
Now type a real-world task and press Enter:
openclaw> Create a CSV named customers.csv with 5 fake rows,
then open it in the browser and screenshot the table.
OpenClaw will automatically chain:
1. file_write -> creates customers.csv
2. browser_navigate -> opens the local file
3. browser_screenshot -> saves ./workspace/customers.png
and finally prints the path back to you.
5. Add Your First Custom MCP Server
The Model Context Protocol (MCP) is the universal "