In the realm of AI tools, “Lobster” \(OpenClaw\) has been making waves recently, sparking polarized and even contradictory discussions online\. Some hail it as an all \- powerful tool of the future, while others dismiss it as useless or even a scam\. Prices for related services vary too, from $70 for installation to $40 for uninstallation\. But what’s the real story behind OpenClaw? Let’s break it down from the ground up\.
Start with Large Language Models \(LLMs\)
LLMs like ChatGPT are essentially question \- and \- answer systems\. To interact with them programmatically, we use API interfaces\. Major LLM providers such as OpenAI and Anthropic Claude offer HTTP \- based APIs, and intermediaries like OpenRouter even provide SDKs for easier integration, say, with Python\.
Here’s a simple example\. Take a piece of official sample code, modify the LLM model \(e\.g\., switch to Claude’s Opus 4\.6\) and the input question \(e\.g\., “Hello” in Chinese\), then run it via the command line\. You’ll get a response from the LLM, proving you can interact with LLMs programmatically\.
Fix the “Memory” Issue of LLMs
LLMs don’t have built \- in memory\. To enable continuous conversation, we need to pass the conversation history every time\. Maintain a messages list, append user questions and LLM responses to it, and the LLM will “remember” the context\.
Run the improved code, ask “Hello”, then “1 \+ 1 = ?”, and then “add 1 more”, the LLM will correctly answer “3” because it has the full conversation history\.
Build an Agent
An Agent is the core of OpenClaw\. It works by having the LLM generate executable commands, which the program then runs automatically\.
- Set Response Rules: Instruct the LLM to reply with either “Command: XXX” or “Done: XXX”\.
- Loop Execution: The program loops, executing commands if the LLM outputs “Command: XXX” and ending the loop when it outputs “Done: XXX”\.
For example, to create a hello\.txt file with “hello world”, the LLM will generate echo "hello world" \> hello\.txt, and the program will execute it, creating the file locally\. Another example: to download and zip videos, the Agent will use yt \- dlp to download and zip to compress, all automatically\.
The Essence of OpenClaw
OpenClaw is essentially a combination of Agent loop \+ LLM \+ Prompt Instructions\. The Agent doesn’t understand the commands; it just executes them blindly\. The “intelligence” comes from the LLM’s ability to generate commands and the pre \- defined “instruction manual” \(prompts\)\.
- Extend Capabilities: Add “skill documents” \(like
skill\.md\) to teach the Agent new commands, e\.g\., how to search for news\.
- Interface Customization: Transform the command \- line interface into an HTTP service with a web UI, or integrate with social platforms like Feishu/QQ for remote control—this is what most people recognize as “Lobster”\.
A Balanced View
OpenClaw is neither all \- powerful nor useless\. Its effectiveness depends on whether operations in the world are command \- based or API \- based and whether the LLM knows those commands\. It pushes the trend of making operations more command \- and API \- centric, but this also brings risks \(e\.g\., executing malicious commands\), echoing ethical debates in movies like I, Robot\.
In short, OpenClaw is a powerful paradigm, but its true potential lies in how command \- and API \- driven our world becomes\.
FAQ
Q: Do I need to know programming to use OpenClaw?
Basic command-line familiarity is helpful. You need to know how to open a terminal, navigate directories, and run commands. However, you do not need to be a professional programmer — the LLM handles the actual coding.
Q: Is OpenClaw safe to run on my computer?
OpenClaw can execute arbitrary commands generated by the LLM. This is powerful but risky. Always review commands before they run, especially if the LLM has access to system-level operations. Use sandbox environments for testing.
Q: Can I use OpenClaw with any LLM?
Yes. OpenClaw works with any LLM that has an API endpoint. You can use OpenAI, Anthropic Claude, or any model available through OpenRouter.
Frequently Asked Questions
Q: Do I need to know programming to use OpenClaw?
Basic command-line skills suffice. Install via npm, configure your API key, and run commands. The 20-line demo needs no programming knowledge. Customizing for specific uses requires some JavaScript.
Q: What AI models can I use with OpenClaw?
OpenClaw supports OpenAI (GPT-4, GPT-4o), Anthropic (Claude), and open-source models via compatible APIs. Configure by setting API key and endpoint. Switching models is a key advantage.
Q: Can OpenClaw be used for web automation and browser control?
Yes. OpenClaw includes browser automation through its skill system. Use Playwright or Puppeteer to create automation skills. Browser automation is one of the most popular community extensions.