Clawdbot Now called MoltBot a new AI Agent tool taking web by strom but...
The New Trend AI Agent, but also Risky access?
In a world where AI is no longer just a buzzword but a daily necessity, a new tool is making waves across tech communities, developers, and productivity hackers alike. Enter Moltbot, aka Clawdbot (A trademark lawsuit from Anthropic, which forced a name change to Moltbot) — an open-source AI assistant that’s not content with merely answering questions. It does things.
From clearing your inbox and managing your calendar to researching trends on X (formerly Twitter) and automating real-world tasks, Clawdbot acts as a gateway between human intent and automated action. If you’ve ever wanted a 24/7 AI employee living inside WhatsApp or Telegram, this is it.
Launched by developer Peter Steinberger (@steipete), Clawdbot has exploded in popularity as users share how it has transformed their workflows. Some automate entire morning routines, others deploy sub-agents to handle business research autonomously. This is not hype — it is practical, agentic AI that runs locally on your machine, giving you privacy, control, and real execution power.
Setting up is also easy.
GETTING STARTED:
BASIC SETUP
System requirements
Node.js version 22 or higherInstallation
Run the following command:npm install -g clawdbot@latest
Onboarding and background service setup
clawdbot onboard — install-daemon
Channel pairing
clawdbot channels login
Follow prompts to connect WhatsApp, Telegram, or other platforms.
Gateway launch (usually automatic)
clawdbot gateway — port 18789
Dashboard access
Open your browser to:Test message
clawdbot message send — target +your-number — message “Hello, Clawdbot!”
Configuration files live in your local Clawdbot directory and allow full customization.
EXAMPLE CONFIGURATION AND USAGE
Agent tool configuration example (JSON):
{
“agents”: {
“default”: {
“tools”: [
“web_search”,
“browser”,
“exec”
]
}
}
}Proactive message via cron or script:
clawdbot message send — target +15555550123 — message “Daily reminder: Stay hydrated!”
Custom plugin workflow outline:
Clone repository
Install dependencies
Add plugin logic
Build and redeploy
This allows full customization of behavior and capabilities.
‘Spicy’ Security Risks
Prompt injection is not theoretical
Prompt injection is a known, unsolved class of vulnerabilities. If Moltbot is allowed to read emails, web pages, documents, or messages, malicious instructions can be embedded inside that content.
An attacker doesn’t need to “hack” Moltbot directly. They just need to influence what it reads.
Once an agent has execution privileges, prompt injection stops being an abstract AI safety problem and becomes a system-level risk.
Credential concentration creates a high-value target
Local-first does not automatically mean secure.
If Moltbot stores API keys, login tokens, session cookies, and private messages on one machine, that machine becomes a concentrated treasure trove. Malware that previously stole browser cookies now has access to an AI that already knows how to use them.
Security researchers have correctly described this as a new kind of honeypot for infostealers.
Autonomous actions amplify mistakes
A traditional script does exactly what it’s told.
A human admin hesitates, double-checks, and notices when something feels off.
An autonomous agent can make confident, incorrect decisions at machine speed.
If the agent misinterprets intent, follows a poisoned instruction, or chains actions incorrectly, the blast radius is larger than with most consumer software.
Social attack surfaces expand
If Moltbot is reachable through messaging platforms, attackers may not need system access at all. They may only need to interact with you.
Social engineering doesn’t disappear when AI enters the loop — it evolves.
WHY THESE RISKS EXIST AT ALL
Here’s the uncomfortable truth:
An AI agent that cannot read private data, store credentials, and execute commands is mostly useless.
The same capabilities that make Moltbot powerful are the ones that undermine traditional security assumptions. This is not unique to Moltbot. It applies to every serious agentic system being built right now.
The question is not “Is this safe?”
The question is “How do we reduce risk to acceptable levels?”
HOW TO RUN MOLTBOT MORE SAFELY (PRACTICAL MITIGATIONS)
If you treat Moltbot like a toy, you will get burned.
If you treat it like infrastructure, you can reduce risk significantly.
Here’s what that looks like in practice.
Principle of least privilege, actually enforced
Start with the smallest set of permissions that still provides value.
Do not give shell access by default.
Do not give full disk access unless necessary.
Do not let the agent browse the open web unsupervised.
Expand permissions gradually, not optimistically.
Isolate execution environments
Run Moltbot inside:
• A dedicated user account
• A container or VM
• A restricted filesystem namespace
If the agent is compromised, containment matters more than detection.
Separate credentials aggressively
Use scoped API keys.
Avoid reusing personal session cookies.
Prefer service accounts over personal accounts.
If Moltbot doesn’t need your primary Google account, don’t give it one.
Limit who can talk to the agent
Lock down inbound channels.
If Moltbot listens on messaging platforms, restrict it to trusted senders. If it runs on a server, keep it off the public internet unless you know exactly why it’s there.
“Who can speak” is just as important as “what it can do.”
Treat memory as sensitive data
Long-term memory is not just context. It is stored intelligence.
Encrypt it.
Back it up securely.
Audit what is retained.
Assume memory will eventually be read by something you didn’t intend.
Agentic AI forces us to confront a future where tools don’t just assist — they act. Moltbot is an early, honest example of that shift, sharp edges and all.
SO TO END THIS….
Moltbot is not dangerous because it is reckless.
It is dangerous because it is powerful.
That distinction matters.
Agentic AI is coming whether we like it or not. The real question is whether we learn how to operate it responsibly — or wait until the first major failure teaches us the hard way.
If you run Moltbot, treat it like a junior admin with superhuman speed and zero intuition. Supervise it. Contain it. Respect it.
The future of AI isn’t just smarter models.
It’s learning how to live safely with tools that act.
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