What is Clawdbot?
Clawdbot is an open-source, self-hosted personal AI assistant created by Peter Steinberger (also known as @steipete), the founder of PSPDFKit. It's essentially a "Claude with hands" - an AI that doesn't just chat but actually does things.
Unlike traditional AI assistants that live in a browser tab, Clawdbot runs on your own hardware and integrates with messaging apps you already use - WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and more. It acts as a full-time personal assistant that can manage your emails, calendar, check you in for flights, control smart home devices, and execute terminal commands - all from your chat apps.
The Hype Train: Why Everyone's Talking About It
The "24/7 Jarvis" Vision
Clawdbot has captured the imagination of developers worldwide by promising something we've been waiting for since Siri launched in 2011: a personal AI assistant that actually works. It's being hailed as the "24/7 Jarvis" - an AI that can proactively reach out to you, remembers everything, and executes tasks autonomously.
The project exploded to over 29,900+ GitHub stars in just a few weeks, making it one of the fastest-growing open-source projects in recent memory. Tech leaders like David Sacks and Vijay Shekhar Sharma have mentioned it, and Silicon Valley is buzzing.
What Makes It Different
Persistent Memory: Unlike ChatGPT or Claude that forgets between sessions, Clawdbot remembers everything - conversations, preferences, and important details mentioned weeks ago.
Proactive: It can reach out to YOU - morning briefings, reminders, alerts when something you care about happens. Most chatbots wait for you to type.
Full Computer Access: It can execute terminal commands, write scripts, browse the web, control smart home devices, and access your file system.
Multi-Platform: Same assistant across WhatsApp, Telegram, Discord, Slack, iMessage - same conversation, same memory, everywhere.
The FOMO Factor: Why It's Breaking the Internet
The hype around Clawdbot is driven by FOMO (Fear Of Missing Out). Everyone's talking about it, sharing screenshots of their setups, showing off what it can do. Social media is flooded with "Clawdbot this" posts. People don't want to miss out on what could be the next big thing in AI.
Peter Steinberger: The Creator Behind the Craze
Peter Steinberger is a well-known developer who founded PSPDFKit (now called Nutrient). He came out of retirement to build Clawdbot, and has been documenting his workflow for years. His blog post about "Claude Code is my computer" went viral, explaining how he built his personal AI assistant.
The project has attracted significant developer interest with over 50 contributors and an active Discord community of 8,900+ members. Steinberger brings decades of experience building developer tools and enterprise software to the project.
How People Are Setting It Up
Quick Setup Options
Option 1: Mac Mini (~$599)
- Popular choice for Clawdbot
- Apple Silicon Valley's Mac mini has been selling out due to Clawdbot demand
- Runs macOS natively
- Good performance for AI tasks
Option 2: VPS (~$5/month)
- Cheap cloud server option
- Hetzner has servers starting at ~$5/month
- Good for 24/7 availability
- Requires technical knowledge to set up
Option 3: Old Computer
- Free if you have one lying around
- Requires Node.js 22+ and technical setup
- Good for developers who want full control
Option 4: Docker
- Cross-platform
- Runs on Linux, Windows, macOS
- Good for flexibility
The Dark Side: Security Concerns You Need to Know
Root Access & Critical Services
Clawdbot needs root access to perform certain operations. This is both powerful and dangerous:
- Can execute terminal commands
- Can modify system files
- Can install software
- Can access sensitive data
Gateway Vulnerabilities
The documentation mentions that multiple gateways on the same host can create security issues. Each gateway needs its own port and configuration. If not properly isolated, one compromised gateway could affect others.
Why It's Not For Everyone
It's Complex Setup
Clawdbot requires:
- Technical knowledge (Node.js, Docker, or Linux)
- Understanding of security best practices
- Time to configure properly
- Ongoing maintenance
The Cost Factor
Hardware: Mac Mini (~$599) + Claude API (~$20-100/month)**
Cloud: VPS (~$5/month) + Claude API (~$20-100/month)**
Total: ~$25-125/month
The Bottom Line: Should You Use It?
Clawdbot is an impressive piece of technology, but it's not for everyone. Here's why you might want to skip it:
You Should Use Clawdbot If:
- You're a developer who wants to build and customize your own AI assistant
- You enjoy tinkering with complex systems
- You want full control over your data
You Should Skip It If:
- You just want a simple AI assistant that answers questions
- You don't need persistent memory or proactive features
- You prefer cloud-based solutions
- You don't want to manage your own infrastructure
Conclusion
Clawdbot represents an exciting evolution in personal AI assistants. It's powerful, flexible, and open-source. But it comes with real responsibilities - security, maintenance, and technical complexity.
For most users, existing AI assistants like Siri, Google Assistant, or even ChatGPT will suffice. Clawdbot is for the builders and tinkerers who want full control and customization.
For everyone else, it's okay to sit this one out. The hype will pass, and there will be other AI tools to try.
Sources:
- https://clawd.bot
- https://github.com/clawdbot/clawdbot
- https://docs.clawd.bot
- https://newsbywire.com/open-source-ai-assistant-clawdbot-reaches-10200-github-stars-with-privacy-first-automation
- https://officechai.com/ai/everything-you-want-to-know-about-clawdbot-the-viral-personal-ai-assistant
- https://velvetshark.com/clawdbot-the-self-hosted-ai-that-siri-should-have-been
- https://www.panewslab.com/en/articles/b37f2cec-1c0f-487b-af34-61faea2e3cb2
- https://github.com/steipete
- https://docs.clawd.bot/security
Jump on the hype train, but stay grounded. Your data, your choice!
๐ About the Author
If you made it this far, you probably care about shipping fast without breaking things.
I build AI x Crypto MVPs for startups who need to go from idea to working product in weeks, not months.
What I do:
๐ค AI agents & chatbot interfaces (yes, including the one you could be using right now)
โ๏ธ Crypto integrations (EVM, Solana, L2s, Privy, smart contracts)
๐ ๏ธ DevTools & NPM packages that actually solve problems
๐ SEO-optimized web apps that rank
Currently: Building open-source tools and taking on select freelance projects.
Let's talk:
๐ฆ Twitter: @SivaramPg
๐ฆ GitHub: github.com/SivaramPg
๐ Portfolio: sivaramp.com
๐ง Email: [dev.sivaramp@gmail.com]
P.S. If you're building something weird in AI or crypto and want to bounce ideas, my DMs are open. No pitch, just nerding out.
Top comments (6)
What about Raspberry pi5 16gb + Raspberry AI HAT 2+ can we run it on this OS or we need install Linux on pi 5?
My Contrarian View that works 10x better with 100x less complexity i have many things i automate without an orchestration layer (like openclaw/clawdebot/whatever) or n8n. I don't pay a dime for a vps. i use an old pc running windows 10 running the latest python interpreter just fine. Why? It belonged to my kid.. there's no os change to Linux/NetBSD, because so why go through the 90 minutes installing another *nix version. It works as-is. It's like repainting the underside of a house. Nobody but you sees it so why do you care?
And on that 10+ year old windows machine my automations are faster and easier to deploy than a mac m2 mini with openclaw setup.
My rule (that I totally made up) I call it Jason's Razor: If I can't deploy it or debug it in 5 minutes, it's too complex.
Before you snark about my lemma ("Jason's Razor"): yes, I have the skills to debug it stuff.. but in 2026, why? Context: My 1987 Borland Turbo C manual (the best computer science book in history, IMPO) was my introduction to appDev and I do it everyday - in some way - since. That was almost 40 years ago. My old email address from 1995 is still in some of the linux kernel comments. If you aren't older than I am (over 50) than take my advice: automate as fast and as cheap as you can and no more.
Here's how it works: Take a good LLM and rewrite this as a prompt:
write a python script to automate x, y, z without giving my api key clear text to you in this prompt, instead read it from an api.key file. Important: ask me for whatever else you need if you can't look them up or do them with just public internet access. Build a dashboard for this automation using streamlit. Use sqlite for data storage.
That's it. After it generates about a page of code, copy and paste and save it as automation.py. If it ever breaks (API change or something weird) I don't spend more than 4 minutes to debug it. I simply ask the LLM to gen a new python script after that point.
Use vi/vim/emacs/visual studio/textedit/edlin/notepad.exe copy con in DOS and write your API key done.
Cron or schedule it using the OS scheduler to run it at the appropriate time. Yes you could text yourself (like 'summarize my emails and sms them to me everyday at 7am before I get to work') using a cheap Twilio account. But that's spending money; don't fall for it. Stay on a $0 cost idea and use the signal app (which is basically whatsapp but it's foss open source, free, works like sms, encrypted and can even be ephemeral like snap messages). You'll get the alert on your iPhone/Android just like an SMS. Insert it in the LLM prompt that you want to do that and the LLM will do it. Need email replies, interpretation, deep rules? Iterate and ask the LLM to generate another python script. I have over 100 right now running on that old windows box that sorts my email, routes my incoming calls, checks my voicemails, reminds me of critical birthdays/anniversaries, and even has a port open for me to live chat the LLM to take prompt access (command.exe) if I need it to change a script and I'm too lazy to do it. Each script took me 5-6 minutes - each. I use every LLM out there but I generally start with gemini, use chatgpt to verify it, use claude for the real time stuff (like replying to email, paying my bills on time, etc).
Every day I ask: what can I automate? I don't go to an openclaw machine. I go to an LLM and start with a prompt. If I have writers block (which I sometimes do!) I'm even ambiguous ("help me explain this into a prompt") and it does.
Run it on your own damn computer you already have collecting dust somewhere. An old laptop. Windows works perfectly fine so don't be shy if you're not a cool kid with a macbook (in fact with powershell there are some things you can't do with darwin). Or, hack up an old embedded device (old routers, switches, VoIP phones, etc - they are great *nix computers). You heard me. If I can boot an old roku box that my neighbor sold at his garage sale for $1 on ubuntu 20, you can too.
Have only 1 computer? Mac mini's are only useful if you are locked into apple's ecosystem already and you believe that if you don't and you absolutely must only use icloud facetime/messenger or your face will melt off and you will die. Otherwise use windows with wsl or an old tivo box jailbroken with linux or whatever you want. I even have an old iPad broken into a linux install that runs great for my print server.
The goal? EASY Automation without a cost. Or at least without an ongoing cost. Cost = your time + your money. Otherwise what's the point of automation? You have to work for that $300-600 you pay for a mac mini. You have to spend time configuring a multi-layer orchestration system. Write the docker.yaml file. Stop it! You can run unix-like kernel on an old 286. I'm sure you have hardware somewhere.
Why does the community have to make this about building out your own automations like an enterprise or startup-SaaS-with-funding-like infrastructure using an architecture for a post-profitable company? Back in the day we automated everything with bash scripts and batch files.
Otherwise what's the point of being on this side of the corporate divide? Your time is valuable, yes, but you know what? So is your money. Keep it! Use what you already have. Don't have an old pentium hanging around and don't want to use your laptop? Go to a goodwill store and load freebsd on a $20 minitower that once belonged to a 30 year old gamer living in his grandma's basement. Find an old Sony Vaio windows 7 laptop online ($30), configure the screen to stay off .. and you know what? Python is compatible with windows so you don't need anything else. Use cifs/samba (SMB) to load/unload your python files to it.
The discussions online about raiding ebay for mac mini's are gross. Has the dev world gotten so vain that it must use icloud msgr? Really? Tattoo yourself with the Apple logo and write the words "Property of:" above it. Because that's what those who are buying the mac mini's are.. being sheep to a company who has a 56% margin (for their investors, not for you) on every hardware device they sell.
Keep automation easy, cheap & damn near free. Create something you debug, not nurture. Maximize your value. Your time and your money are both equally important. Writing python scripts is better handled by an LLM now. Orchestrate, containerize, verbosely log and whatever you need to do when you are working in an enterprise whose requirements are SAS70 or whatever compliance, but otherwise using these orchestration layers like openclaw is not only beating a dead horse, it's running over it 600 times with a bulldozer just to make sure there's nothing alive in it. It's only value when you need an auditable system in a corporate setting but your superpower as a home user is you don't have a corporate compliance cost and overhead... so save your money. Spend it on better things like pizza, porn, beer, etc.
The main problem is the root access. Already in this internet world nothing is safe but not nothing will be safe in your computer. ๐๐๐
That's why the recommended way it to run it inside an isolated docker environment or an old computer or a simple VPS!
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