On January 26, a product called Clawdbot suddenly went viral across both international and Chinese tech communities. From X and Reddit to Chinese developer forums, it quickly became one of the most discussed AI projects.

Its creator, Peter, repeatedly emphasized that Clawdbot was originally designed as a “life assistant”:
you send a message via WhatsApp, the request is forwarded to Claude Code, and the result is sent back to you.
Clawdbot is not the first AI Agent capable of performing real tasks. However, only two or three weeks after its release on Claude Cowork, it unexpectedly reignited excitement in the AI community. The reason behind this renewed hype may not lie solely in the fact that its code is 100% AI-generated, but more importantly in its unexpected human–AI collaboration model.
Clawdbot runs inside the user’s own environment — such as a personal computer or private server — and interacts through familiar chat applications. Communicating with it feels like talking to a colleague or a friend. In addition, it has full system-level permissions and long-term memory, which effectively turns it into a truly personal AI Agent. This dramatically expands its potential capabilities while also avoiding the risk of sensitive data being centralized in large corporations.
Note: At present, Clawdbot mainly supports overseas social platforms. Users in mainland China may need extra effort to experience it.
Where should Clawdbot run?
With Clawdbot’s rapid popularity, Mac mini has almost become a “financial product” in the community. Many early adopters reported buying multiple Mac minis specifically to run Clawdbot.
At the same time, another perspective emerged:
because Clawdbot operates with very high privileges, it is better suited to an environment isolated from one’s primary computer — such as an old Mac (macOS currently has the best support), or a cloud server running Linux, which is also fully supported.
Note: Clawdbot’s Windows support is still limited, so Windows is not recommended for early experimentation.
Why Lighthouse?
Whether you use an old Mac or rush to buy a Mac mini like many community pioneers, both options require significant time and financial investment. Long-term operation also incurs electricity costs.
In contrast, a cloud server offers a faster and more cost-effective solution:
you can get started within minutes, with entry-level costs of only a few dollars per month. Cloud servers are naturally suited for 24/7 operation, making them a perfect match for Clawdbot’s always-on assistant design.
This is where Tencent Cloud Lighthouse comes in.
Lighthouse is a lightweight cloud server product designed for lightweight application scenarios. It eliminates the need for developers to understand complex cloud concepts, provides cost-effective server packages, and supports rapid deployment of open-source applications using preconfigured operating systems and runtime environments.
So how can Clawdbot be deployed quickly on Lighthouse?
Lighthouse now offers an official Clawdbot application template, which comes with all required runtime dependencies pre-installed — no manual setup needed. In the following steps, we will walk you through the entire process of deploying and configuring Clawdbot on Lighthouse, step by step.
👉 Special Offers:tencentcloud
Create a new instance.
Press enter or click to view image in full size
For this use case, Tencent Cloud Lighthouse is ideal. It provides:
Simply log in to the Tencent Cloud Lighthouse console, search for Clawdbot (or similar bots), and deploy it in seconds. No coding or manual setup required.

Please choose according to your actual needs. The following configuration is recommended.
● Operating system: Clawdbot
● Region: Singapore or Tokyo
● Instance size: 2 vCPU, 2GB RAM
● Billing period: 1 month
● Public IP address
● Login password (or reset it in the console)
ssh ubuntu@YOUR_PUBLIC_IP
Press enter or click to view image in full size

When prompted:
Are you sure you want to continue connecting?
Type:
yes
Then enter your password (input will not be visible — this is normal).
Note: On Ubuntu images, the default login user is ubuntu, not root.
Press enter or click to view image in full size

clawdbot onboard

Wait approximately 2–3 minutes for installation to complete.
Press enter or click to view image in full size
Below are the official recommended selections for first-time users:
(1)Risk Acknowledgement
Select: Yes
Rationale:
Clawbot is capable of executing commands and accessing system resources.
This confirmation ensures the user understands its powerful capabilities before proceeding.
Press enter or click to view image in full size

(2)Onboarding Mode
Select: QuickStart
Rationale:
QuickStart uses official defaults and minimizes configuration complexity.
It is optimized for first-time deployment and reduces error probability.

(3) Model/Auth Provider
(3.a)Gemini Authentication Method
Select: Google
Rationale:
Google (Gemini) is chosen because it provides an official and stable API, good model quality for general reasoning and agent tasks, and straightforward integration using an API key without complex custom configuration.
Press enter or click to view image in full size

Press enter or click to view image in full size

Recommended model:
google/gemini-3-pro-preview
Press enter or click to view image in full size

Open the following website:👉 https://aistudio.google.com
Steps:
Sign in with your Google account
Click Get API key (top right corner)
Choose Create API key
Copy the generated API key
(3.b)Qwen Authentication Method
Select: Qwen OAuth
Rationale:
OAuth authentication avoids manual endpoint configuration and simplifies setup by using the official authorization flow.
Press enter or click to view image in full size

Press enter or click to view image in full size

(4)Communication Channel
● If you use Telegram or WhatsApp: select the corresponding platform
● Otherwise: select Skip for now
Press enter or click to view image in full size


Press enter or click to view image in full size

(5)Configure Skills
Select: No
Rationale:
Skills enable system-level automation (file access, browser control, shell execution).
For initial deployment, limiting permissions improves stability and security.
Press enter or click to view image in full size

(6)Enable Hooks
Select only: session-memory
Rationale:
● Enables conversation memory
● Does not execute commands
● Minimal security risk
● Required to proceed past this step
Do not select:
● boot-md (auto-run scripts on startup)
● command-logger (command tracking and logging)
Press enter or click to view image in full size

(7)Hatch Mode
Select: Hatch in TUI
Rationale:
● TUI (Terminal UI) launches Clawbot directly in the terminal:No additional ports required
● No web interface configuration
● Immediate verification of successful startup
Press enter or click to view image in full size

Wake up,my firend!
This confirms:
● Clawbot is running
● Model connection is active
● Deployment is successful 🎉
Press enter or click to view image in full size

You are Clawbot. Your main responsibility is to help me with research, writing, and analysis tasks.
Press enter or click to view image in full size

7. Functional Test
Send:
Explain what an AI agent is in simple terms.
If Clawbot responds normally, the system is fully operational.

● Executing shell commands
● Reading and writing files
● Running automated tasks
Recommended usage:
● Run only on VPS or cloud instances
● Avoid personal machines
● Do not grant access to banking, wallet, or critical accounts
● Treat as an AI automation sandbox
Summary
You have successfully:
● Deployed Clawbot on Tencent Cloud Lighthouse
● Configured a stable baseline environment
● Launched an AI agent capable of continuous operation