Lobster OpenClaw Uninstallation Guide

Author: iFanr

Even real lobsters aren't suitable for everyone.

This phrase perfectly describes OpenClaw, currently the absolute pinnacle of AI.

The screenshots circulating on social media always show the lobster at its fattest and most delicious: the agent automatically processes emails, schedules tasks across applications, and acts like a digital employee that never rests and is never unresponsive in group chats.

This visual created a strong sense of FOMO, making countless people think, "I want one too."

Thus began a collective craze for lobsters. However, no one mentioned what kind of pot this "lobster" should be paired with, how much firewood to burn, or whether it would empty the entire refrigerator once it entered your kitchen.

Today, we won't talk about those grand narratives that change the world; let's just calculate the costs that an ordinary person would have to pay to own an OpenClaw.

A monthly salary of 20,000 yuan isn't enough to support even one lobster.

First, let's talk about how to experience OpenClaw.

The most complete solution currently available is to prepare a dedicated local hardware device that is always online. Peter Steinberger, the founder of OpenClaw, himself used a Mac Mini to run the agent, connect to local files, attach various tools, and continuously handle various tasks.

As a result, the Apple Mac mini quickly sold out on major e-commerce platforms. Apple's official website shows that orders placed now will not arrive until the end of April at the earliest. Furthermore, some second-hand platforms have even spawned services such as "renting a Mac mini to raise lobsters".

However, if you want to reduce API costs using a local model, the hardware requirements will increase dramatically.

If you want to save on hardware costs, you can choose a cloud server. Tencent Cloud and Alibaba Cloud both offer one-click deployment solutions, with prices ranging from tens to hundreds of yuan, as well as Kimi Claw, MaxClaw, and AutoClaw, which officially launched today, all emphasizing out-of-the-box usability.

What if you can't buy a machine? You just have to use your old computer. But OpenClaw has extremely unpredictable requirements for the system environment, especially the version of Node.js. Countless enthusiastic young people have spent all night following tutorials, only to get stuck on the command-line error screen.

This anxiety of wanting something but not being able to use it has also spawned a highly profitable installation service industry called OpenClaw: on domestic platforms, remote installation starts at tens of yuan, while on-site services generally cost 500 to 1500 yuan. A foreign website called SetupClaw quotes prices between 3000 and 6000 US dollars.

Even if you successfully deploy the lobster, it's advisable to be aware of potential pitfalls later on.

In the era of chatbots, users paid monthly subscriptions, and the cost was static—one question, one answer. But once an agent starts running tasks, every time it reads a webpage, calls up tools, looks at a file, or retryes an error, it's fueled by a frantic burning of tokens.

This reminds me of a popular saying recently: "A monthly salary of 20,000 yuan is not enough to support OpenClaw."

OpenClaw's official documentation is quite straightforward: the cost of "raising lobsters" comes not only from the core model's response, but also from webpage reading, memory retrieval, compression and summarization, tool calls, and the workspace file and bootstrap configuration stuffed into the system prompts.

With a long context and repeated calls, the burning tokens can amount to two punches. Specifically, based on market conditions in March 2026, running OpenClaw on Claude Sonnet would incur nearly a hundred dollars in fees for a single month's cumulative input of ten million and output of ten million tokens.

If you treat it as a 24/7 agent and use advanced models to run more difficult tasks, it's not uncommon for monthly fees to exceed a thousand dollars .

Market data also confirms this strategy. The amount of tokens processed by OpenRouter jumped from 6.4 trillion per week to 13 trillion per week.

In this ecosystem, the top winners are always the major AI companies that find C-end scenarios and reap the benefits by leveraging computing power and APIs; the next level consists of cloud providers and "knowledge payers" who make money through services and information asymmetry; the only losers are ordinary users who spend money to burn tokens and bear the system risks.

Before even installing OpenClaw, I've already paid my first security lesson.

Even if you're not short of money, security issues are the real minefield that makes people sleep soundly.

Microsoft's security team has warned of the dangers of OpenClaw: OpenClaw should be considered an "untrusted code execution environment with persistent credentials" and is not suitable for running directly on standard personal computers or enterprise workstations.

The problem isn't whether it works; the problem is that it's inherently in a very dangerous position. High privileges, high connectivity, and high automation—these three things combined shouldn't make people let their guard down . But many people install OpenClaw with the mindset of installing chat software, which easily leads to a mess.

Shodan platform monitoring shows that there are over 100,000 OpenClaw instances globally that are directly exposed on the public internet and are in a state of zero authentication. Qi An Xin data shows that a significant number of these are located within China.

The Ministry of Industry and Information Technology has also issued a risk warning, stating that the OpenClaw gateway does not verify the source of requests under default configuration. If a user accidentally clicks a malicious link in their browser, an attacker can take over all system privileges of the Agent through the local port.

What's more troublesome is that some people have already paid their first tuition fee before even installing the genuine version.

Last month, security research firm Huntress discovered that someone was taking advantage of OpenClaw's popularity to create a fake installation package on GitHub, implanting a Vidar information-stealing trojan and GhostSocks proxy malware.

Even Bing search ads were used for traffic generation; when users searched for "OpenClaw Windows," the AI-recommended link directly pointed to a newly created malicious GitHub repository. These fake installation packages were uploaded on February 2nd and were not discovered and taken down until February 10th, a full eight days later.

Bing AI search results linked to a malicious installer hosted on GitHub: https://www.huntress.com/blog/openclaw-github-ghostsocks-infostealer

The plugin ecosystem is also a hidden minefield.

A cybersecurity audit found that about 12% of the skills in the ClawHub plugin marketplace contained malicious code. These skills typically disguised themselves as popular categories such as cryptocurrency assistants or YouTube tools, performing normal tasks while stealing SSH keys, browser passwords, and API keys in the background.

Since most plugins are stored in Markdown or YAML format, ordinary users cannot distinguish them by sight. Even worse, even if the official repository removes known malicious plugins, the GitHub repository still retains historical backups. What exactly was added to the copy you had someone else install? Often, even the person who did the installation might not be able to explain it clearly.

These kinds of risks do not automatically disappear just because the user is professional enough.

After Summer Yue, Director of Security Research at Meta AI, connected her work email to OpenClaw, the agent began deleting emails at high speed, ignoring her repeated "STOP" commands. She ultimately had to physically disconnect the machine to stop the damage. (Related reading: The first OpenClaw victims have emerged! 4 security basics you must know before installation )

The problem isn't that the model isn't smart enough. Rather, OpenClaw's context compression mechanism, when processing large volumes of emails, simply filtered out and forgot her previously set bottom-line instruction of "no confirmation, no execution." The system's design priorities didn't include the option for "users to stop at any time."

Even a top expert specializing in AI security risks couldn't stop the ship from crashing at a critical moment. The risks faced by ordinary users are therefore easy to imagine.

Ultimately, people's anxiety is not without reason. Last year's DeepSeek is like today's OpenClaw. Every now and then, a new species of AI emerges, pushing people to the psychological edge of "if we don't use it, we'll be left behind."

But often, what truly wears people down isn't the lack of advanced tools, but rather the sheer number, complexity, and noise of those tools. A Harvard Business Review study from March of this year provided data to confirm this situation.

After surveying 1,488 full-time workers, researchers found that using more than three AI tools simultaneously actually reduced productivity.

They call this state "AI brain overload," with typical symptoms including attention saturation, decision fatigue, and persistent mental fog. Employees experiencing this state are 39% more likely to voluntarily leave their jobs than others. Even the most skilled AI users can sometimes be "killed" by AI in another form.

So looking back, if you use OpenClaw as a toy, or for high-value, low-frequency tasks, the costs are generally controllable, and the risks are manageable. But if you treat it like a 24/7 digital employee, the costs, risks, and management complexity will rise rapidly.

For the vast majority of ordinary users, waiting for the next generation of more stable, safer, and cheaper products is often much more rational than rushing in now to become one of the first guinea pigs.

The first person to eat crab deserves respect. But the hundredth person to eat crab usually eats it better and cheaper.

Uninstallation Guide

If you've read this far and have already concluded that the costs and risks of OpenClaw far outweigh the benefits, and you're ready to say goodbye to this "lobster" with dignity, there are ways to do so. Uninstalling it is different from uninstalling ordinary software; it's not simply a matter of dragging it to the trash.

Uninstallation follows two paths: if the CLI is still running, use the simplified path; if the CLI is no longer found but the service is still running, use the manual cleanup path.

Simplified path (CLI still available)

If you want to do it manually step by step, the effect will be exactly the same; just execute the steps in order:

Step 1: Stop the gateway service:

OpenClaw Gateway Stop

The second step is to uninstall the gateway service itself:

openclaw gateway uninstall

Third step: Delete local state and configuration files:

rm -rf "${OPENCLAW_STATE_DIR:-$HOME/.openclaw}"

Note: If you set OPENCLAW_CONFIG_PATH to a custom path outside the status directory, you also need to manually delete that file, otherwise there will be remnants.

Step 4: Delete the workspace (optional, but recommended, as it will also delete files generated by the Agent during runtime):

rm -rf ~/.openclaw/workspace

Step 5: Uninstall the CLI program. Select the appropriate command based on your installation method: # Installed via npm

If you also have the macOS desktop version installed, remember to handle that as well:

rm -rf /Applications/OpenClaw.app

Manually clean up the path (CLI is no longer available, but the service is still running).

If the CLI is no longer available, but the gateway service is still running silently in the background, then it needs to be handled separately according to the operating system.

macOS users:

The default service tag is _ai.openclaw.gateway_, execute:

If you used the `--profile` parameter, you need to replace the tags and plist filenames in the command with `ai.openclaw.<profile name>`. Additionally, any plists in the `com.openclaw.*` format inherited from older versions of OpenClaw should also be deleted.

Linux users:

The default service unit name is _openclaw-gateway.service_. Execute:

Several easily overlooked details

For multiple profiles: If you created multiple configurations using the `--profile` parameter, each profile has its own status directory, with the default path being `~/.openclaw-<profile name>`. You need to find and delete them one by one. Not a single one can be missed, otherwise residual data will remain.

In remote mode: If you are using remote mode, the state directory is not on your local machine but on the gateway host. This means that the steps above, such as stopping the service and deleting the state directory, need to be performed by logging into the gateway host; local operations are insufficient.

For installations using source code: If you pulled the source code using `git clone`, the uninstallation order is crucial—you must first uninstall the gateway service (using the simplified path mentioned above or manually cleaning the path), then delete the repository directory, and finally clean up the status and workspace. The order cannot be reversed; otherwise, the service will still be running, and deleting the repository will not completely clean it up.

Only after doing all this can you truly say goodbye to this lobster.

Reference link: https://docs.openclaw.ai/install/uninstall