How to Install and Start Using OpenClaw AI Agent Right Now
TL;DR
- Install the viral open-source AI agent OpenClaw (formerly Clawdbot/Moltbot) directly from its GitHub repository in under 5 minutes.
- Run your first local AI agent that can automate tasks, browse, and interact with tools on your computer.
- Join the Chinese tech frenzy by exploring community-built extensions and hackathon-style projects immediately.
Prerequisites Before starting, make sure you have:
- A computer running Windows, macOS, or Linux.
- Git installed (download from git-scm.com if you don’t have it).
- Python 3.10 or higher.
- At least 8GB of RAM (16GB recommended for smoother performance).
- Basic comfort using the terminal or command prompt.
OpenClaw has already earned over 145,000 GitHub stars in just a few months, showing massive community momentum. Major Chinese firms including Tencent, Alibaba, and ByteDance are actively exploring or supporting it, and local government agencies have begun promoting the tool. This guide gets you up and running today.
Step-by-Step Instructions
Step 1: Clone the OpenClaw Repository Open your terminal (or Command Prompt/PowerShell on Windows) and run:
git clone https://github.com/OpenClaw-AI/OpenClaw.git
cd OpenClaw
This downloads the latest version of the software that’s driving the current frenzy across Beijing, Shanghai, and Shenzhen.
Step 2: Install Dependencies Create and activate a virtual environment (strongly recommended):
python -m venv openclaw-env
source openclaw-env/bin/activate
# On Windows:
openclaw-env\Scripts\activate
Then install the required packages:
pip install -r requirements.txt
If you encounter any missing packages, run pip install for each one listed in the error.
Step 3: Configure Your First Agent
Create a simple configuration file config.json in the root directory:
{
"agent_name": "MyFirstClaw",
"model": "gpt-4o-mini",
"tools": ["browser", "file_system", "search"],
"temperature": 0.7
}
You can use any local or API-based LLM. Many users in China are pairing OpenClaw with accessible models.
Step 4: Launch OpenClaw Start the agent with:
python run_agent.py --config config.json
You should see output confirming the agent is alive. The first run may take 30–60 seconds while it initializes tools.
Step 5: Give Your Agent Its First Task Once running, interact with the agent in the terminal or through the simple web UI (if enabled in your build). Try these starter commands:
- “Search the web for today’s AI news and summarize the top 3 stories”
- “Organize my Downloads folder by file type”
- “Find the best flight deals from Beijing to Shanghai next month”
The agent will use its built-in tools to complete these tasks autonomously.
Step 6: Explore Community Extensions
Many developers are already building add-ons. Check the extensions/ folder or browse trending repositories that integrate OpenClaw with:
- WeChat and Douyin automation
- Local document analysis
- Creative “AI dating agent” experiments that appeared during recent hackathons
Tips and Best Practices
- Start simple: Begin with basic file and search tasks before moving to complex multi-step workflows. The community often calls this “raising your lobster” (a playful translation of the Chinese enthusiasm for OpenClaw).
- Use local models: For privacy and speed, try pairing OpenClaw with open-source models like Qwen or DeepSeek that are popular in the current Chinese wave.
- Join the offline and online events: Search for “OpenClaw sharing session” on Xiaohongshu or Bilibili. Even if you can’t attend in person, many sessions are live-streamed and contain practical setup tips.
- Monitor resource usage: The agent can be memory-hungry. Close other applications when running complex tasks.
- Contribute back: With 145,000+ stars already, the project moves fast. Small improvements or bug reports help everyone.
Security note: Only install from the official GitHub source. Avoid unofficial forks until you verify their content.
Common Issues and Troubleshooting
Issue: “ModuleNotFoundError” during installation
Solution: Double-check you activated the virtual environment and run pip install -r requirements.txt again. Some users need to upgrade pip first with python -m pip install --upgrade pip.
Issue: Agent gets stuck in loops
Solution: Lower the temperature value in your config to 0.3–0.5 and add clearer instructions in your prompts.
Issue: Browser tool not working
Solution: Make sure Chrome or Edge is installed. Some users report success after running playwright install if the project includes browser automation.
Issue: Slow performance
Solution: Reduce the number of tools enabled in your config or switch to a smaller, faster model.
GitHub rate limit errors
Solution: Wait a few minutes or use a personal access token for higher limits.
Next Steps
Once your basic OpenClaw agent is running:
- Participate in the next online hackathon (many are announced on 36Kr or The Information).
- Try building a specialized agent — popular experiments right now include AI agents that handle homework, shop online, or even act as a personal matchmaker.
- Connect with the growing Chinese developer community through WeChat groups and GitHub discussions.
- Monitor how Tencent, Alibaba, and ByteDance continue to integrate OpenClaw into their ecosystems — new official plugins may appear quickly.
The current “OpenClaw fever” shows no signs of slowing. Local governments and tech giants are visibly supporting adoption, which means the ecosystem will likely expand rapidly in the coming weeks.
Start small, experiment daily, and you’ll soon be part of one of the most exciting open-source AI movements happening right now.
Sources
- Bloomberg: China’s OpenClaw-Tied Stocks Rise on Policy Support, Adoption
- South China Morning Post: OpenClaw fever: why is China rushing to ‘raise a lobster’?
- 36Kr: “Everyone Raises Shrimp”: The Awakening of Big Manufacturers
- Business Insider: China’s tech giants are opening their doors to OpenClaw
- The Information: OpenClaw Rips Through China’s Tech and Startup Landscape
- Forward Future AI: China’s AI Homework, OpenClaw Agent Rush, & AI Job Surge