Clawdbot Ascends to Legendary Status: The 24/7 AI Butler That Sold Out Mac Minis

marsbitОпубликовано 2026-01-26Обновлено 2026-01-26

Введение

Clawdbot, an open-source AI assistant project by Peter Steinberger, has taken Silicon Valley by storm, driving a surge in Mac mini sales as users seek hardware to run it. This "7x24h Jarvis" operates locally on devices like Mac mini, functioning as both an AI agent (using models like Claude and Gemini) and a gateway to communicate via apps like WhatsApp and iMessage. It offers unlimited memory, proactive task execution, and full system access—enabling it to run scripts, automate workflows, and even replace services like Zapier. Users report it managing businesses, handling emails, controlling smart home devices, and more, all while learning and evolving over time. With low setup costs (as little as $25/month using cloud servers) and growing accessibility, Clawdbot is redefining personal AI assistance by combining persistent memory, autonomy, and deep system integration.

Editor: Taozi, New Zhiyuan

[New Zhiyuan Insight] It's insane! Silicon Valley has become obsessed with Clawdbot overnight, hailed as the "24/7 Jarvis." It possesses infinite memory, is always on call, and takes initiative to get things done. The most outrageous part is that it single-handedly made Mac minis sell out.

The pace of AI iteration in Silicon Valley leaves no room for humans to breathe...

Wake up, and the entire internet is flooded with posts about a 24/7 AI assistant—Clawdbot.

This is an open-source project developed by developer Peter Steinberger and has recently become wildly popular in geek circles.

Clawdbot can run smoothly on a Mac mini, serving two roles:

A locally run "AI agent" capable of calling various models like Claude and Gemini;

A "gateway" that allows communication via chat apps like WhatsApp and iMessage.

It's no exaggeration to say that Clawdbot has completely redefined the concept of a "personal AI super assistant" for 2026.

Look, an AI startup CEO exclaimed, "We have AGI!" Since installing Clawdbot, it has quietly handled a ton of tasks—

Most incredibly, it solves the biggest pain point of current mainstream large models—memory. For example, it remembers small things mentioned casually two weeks ago.

Instantly, people started sharing their Mac configurations, and various Clawdbot tutorials emerged.

Probably even Tim Cook himself didn't expect that Mac minis would sell out overnight!

One developer frantically configured 12 Mac Minis at once. At a base price of $599 each, the total cost was $7,188 (approx. 50,000 RMB).

The true ultimate Skynet is Clawdbot.

Clawdbot is Completely Blowing Up, "The Real Jarvis" Has Arrived

Actually, Clawdbot isn't a brand-new AI; it was born late last year.

At that time, a software engineer from Vienna, Peter Steinberger, published a lengthy thousand-word article detailing his workflow for 2025.

He admitted, "The most profound change this year is that I almost never read code anymore."

Peter Steinberger came out of retirement to make a comeback

He built an "all-powerful private butler" named Clawdis, which has full access to all computers, text messages, and emails.

Moreover, it's a physical world "remote control," integrated with home automation systems to control cameras, lights, music, and even adjust bed temperature.

It even has its own voice system, running Clawdbot.

In fact, a key glimpse into its capabilities can be gleaned from the article by Steinberger, the "Father of Clawdbot"—

Clawd is an AI cyber butler with "highest privileges," managing not only human daily life but also overseeing other working AI agents.

At the time, this article also drew praise from Karpathy.

Just like the release of Claude Opus 4.5, it didn't cause much of a stir for a long time.

A month later, which is now, Claude Code showed everyone in Silicon Valley its true power. The same goes for Clawdbot.

It's an open-source project. On GitHub, Clawdbot has garnered nearly 9.2k stars and 1.2k forks.

GitHub address: https://github.com/clawdbot/clawdbot

Clawdbot promotes itself as a "24/7 personal assistant," truly bringing the long-imagined "Jarvis" into reality.

Silicon Valley is Collectively Freaking Out, AI is Taking Over Everything

Clawdbot's real killer feature is still its core AI agent capability.

It can run entirely on a personal local computer. All settings, memories, and instructions are just folders and Markdown documents on the hard drive.

Except for the moment it calls the large model which requires internet, everything else is local. This means it has access to the computer's Shell and file system permissions.

This is the most explosive part!

Because it has permissions, Clawdbot can execute terminal commands, instantly write and run scripts, install new skills, and even set up MCP servers to extend external integrations.

Ultimately, what everyone gets is a self-evolving, fully controllable personal Agent.

Rather than more descriptions, it's better to go straight to the developers' "magic" demos.

Official Clawdbot curated demo showcase: https://clawd.bot/showcase

Dan Peguine used the Clawdbot platform to manage his parents' tea business. Unexpectedly, it handled:

Automatic scheduling → Following up with corporate clients → Managing inventory → Customer service, and it gets smarter with use.

He exclaimed in amazement, "In a few months, Clawdbot will probably be able to manage businesses of any scale."

Developer Nimrod Gutman said Clawdbot helped him build another amazing feature!

It created an automatic setup for a home assistant that intelligently controls how long the boiler runs based on the weather over the past 12 hours, so no cold showers even on cloudy days.

AI browser Arc developer Andrew Jiang tested it: 24 hours after giving Clawdbot the idea, it had completed scraping a content project involving 100 top X platform accounts, totaling 4 million tweets.

Now, he can partner with a copywriting AI agent to polish the first story. This era is amazing for creation.

Some are completely captivated by Clawdbot's capabilities.

A big shot said, Clawdbot is all you need.

Writes Its Own Code, Kills Zapier

Developer Federico Viticci recounted: Clawdbot showed me what the future of AI personal assistants looks like.

During testing, he asked Clawdbot to add functionality for image generation using Google's Nano Banana Pro model.

Not only did it do it, but it also obediently changed its own avatar to a "Zelda-style crab" upon command.

In daily use, the "memory files" are actually its automatically generated Markdown diaries, recording daily interactions.

The moment that most excited Viticci, and was also slightly terrifying, arrived.

Viticci asked if it could help him save money by canceling the automation services he previously bought on Zapier and switching to running locally on his Mac mini.

For example, automatically creating a new project in Todoist every Friday after sending the Newsletter.

Clawdbot thought for a moment and proposed a solution: set up a cron job on the Mac mini to check the RSS feed every few hours, and once there's an update, call the Todoist API to create a task.

After a 5-minute conversation, it actually wrote all the code on the Mac and got the process running. No cloud dependencies, no subscription fees, entirely done by the LLM calling local Shell tools.

Mac Minis Sell Out, Cook Smiles

Now, many people are even filling their homes with Mac minis just to run it.

Netizens joked that the Father of Clawdbot single-handedly boosted Apple's sales in the first quarter. Probably even Tim Cook would laugh in his sleep.

<极客迷们为之疯狂。div>

Does that mean you're not worthy without a Mac mini?

The Father of Clawdbot stated that there's no need to buy an additional device; you can just deploy a VPS to use it.

Even a long-unused, dusty MacBook or gaming PC can run it, and a Raspberry Pi勉强也行 (barely works too).

A Lobster, Ruling the World

On his personal homepage, the "Father of ClawdBot" aims to help a lobster rule the world.

Now, he has truly succeeded.

Many people have almost gone crazy trying to use it. One developer shared some personal experience and tutorials for non-developer audiences to understand.

You can understand it like this: ChatGPT and Claude live on websites; humans have to actively go find them, type, wait for a response, and then copy-paste elsewhere.

Clawdbot is an AI that "lives" in your phone. The reason it's so popular mainly comes down to three reasons:

1. It actually has "memory"

Ask Siri what you said to it yesterday, and it will definitely be clueless.

Clawdbot remembers your last conversation, remembers your preferences, and even remembers a small thing you mentioned casually two weeks ago.

It continuously accumulates background information over time, becoming more and more understanding of you.

What Apple's Siri couldn't solve in 13 years has now been cracked by an AI expert who came out of retirement.

2. It "proactively" seeks you out

This is the coolest point. Ordinary AIs always wait for people to open them. Clawdbot takes the initiative:

Hey, you have 3 urgent emails, and there's a meeting in 20 minutes;

That stock you follow just dropped 5%;

The weather isn't great tomorrow, you might need to adjust your schedule.

It feels like hiring a real private secretary who actually keeps an eye on things for you.

3. It can directly control the computer

It doesn't just talk and answer questions; it can really work:

Fill out forms, send emails, move files, run programs, control the browser.....

One guy重构 (refactored) his entire website while lying in bed watching Netflix. He never touched his laptop the whole time, just texted Clawdbot what to do.

The developer said many people have fallen into a misconception—

I've seen people stack 3 Mac minis on their desk, pulling Raspberry Pis everywhere,搞得好像在建数据中心一样 (as if they're building a data center), but it's really not necessary.

Clawdbot can run on a $5 per month cloud server, cheaper than a cup of coffee, with a minimum cost of $25.

The technical requirements are actually simple:

A cheap cloud server (or your own computer)

Install Node.js (free software)

A Claude or ChatGPT subscription. That's it, no need to pioneer some "Mac mini farm."

Basic cost estimate—

Software: Free (open source)

Server: $5-50 per month (depending on usage). Most people can get by with a $5 Hetzner VPS, or run it directly on their own computer ($0).

AI fees: $20-100 per month. Claude Pro is $20/month, or pay directly based on API usage.

Total: About $25-150 per month, and you get a truly capable AI assistant.

Think about it, some "AI consultants" charge $10,000 just to set up a basic robot; this price is简直香爆了 (incredibly attractive).

So, how is it different from ChatGPT and Siri?

ChatGPT is a chat box; Clawdbot is an assistant living in your personal life. Siri's memory is about as good as a goldfish's; Clawdbot actually has a brain.

How to Get Started?

In simple terms, Clawdbot runs on a computer, can connect to chat software, you send messages, it replies.

Of course, it can also execute tasks on the computer.

From a professional perspective, a "gateway" runs in the background, which can be seen as a switchboard operator.

Messages come in from channels like Telegram, and the gateway routes them to the AI. The AI thinks, replies, and triggers actions—like opening a browser or running a script.

Except for calling the Claude/ChatGPT API, personal data is not sent to any company's servers.

Some classic use cases:

Morning Briefing: Wake up, and there's already a summary on your phone: important emails, the day's schedule, to-do items. Helps you sort out your thoughts before even getting out of bed.

Health Tracking: "Connected to a WHOOP fitness tracker, reports data daily." Someone set it up in 5 minutes, automatically gaining health insights every day.

Email Management: "Help me unsubscribe from all these乱七八糟的 (messy) news emails." It will log into the邮箱 (email) itself, find the spam, and handle it.

Research Assistant: "Help me find the 5 best-reviewed restaurants near hotels in Tokyo." It will search, compare prices, and give suggestions, all within the chat box.

Task Automation: "Every Friday at 5 PM, send me a weekly review." Set it once, and it can run forever.

High-end Tricks: One user had Clawdbot write meditation scripts, generate audio with AI voice, add background music, and send it to him准时 (punctually) every morning. 100% automated.

Do You Need Technical Skills?

Honestly, you need a little.

If you can follow instructions and know how to copy-paste command lines, you can manage it. It's not a "click and done" thing, but it's not rocket science either.

Official website here: https://clawd.bot

The installation command is just one line:

curl -fsSL https://clawd.bot/install.sh | bash

Then follow the setup wizard; it will teach you how to connect chat software.

If this seems too hardcore, you can wait a few months. The community optimizes the process weekly to make it simpler.

In this era of information explosion, what people lack is a second brain that can filter, remember, and execute for them.

Clawdbot is a typical representative, fulfilling the dreams of many.

Perhaps, in the future, a company only needs one CEO and many Clawdbots.

References:

https://x.com/NoahEpstein_/status/2015136736989397011?s=20

https://x.com/nickvasiles/status/2014790519529095447?s=20

https://x.com/naruto11eth/status/2015030005370417636?s=20

https://www.macstories.net/stories/clawdbot-showed-me-what-the-future-of-personal-ai-assistants-looks-like/

Связанные с этим вопросы

QWhat is Clawdbot and why has it become so popular in Silicon Valley?

AClawdbot is an open-source, 24/7 AI assistant developed by Peter Steinberger that runs locally on devices like Mac mini. It acts as both a local AI agent capable of calling models like Claude and Gemini, and a gateway that communicates via apps like WhatsApp and iMessage. Its popularity stems from its ability to have infinite memory, proactively perform tasks, and operate with full access to the user's system, effectively reshaping the concept of a personal AI super assistant.

QHow does Clawdbot address the memory limitations of current large language models?

AClawdbot solves the memory limitation by maintaining persistent memory through locally stored Markdown diary files that record all interactions. This allows it to remember details from previous conversations, user preferences, and even minor mentions from weeks ago, enabling it to accumulate context over time and become more personalized.

QWhat are some practical examples of tasks Clawdbot can perform autonomously?

AClawdbot can autonomously handle tasks such as managing business operations (scheduling, inventory, customer service), controlling home automation systems (adjusting boilers based on weather), web scraping (collecting data from social media), writing and running scripts to replace services like Zapier, and providing personalized updates like morning briefings and health insights.

QWhy did Clawdbot lead to a surge in Mac mini sales, and are there alternative ways to run it?

AClawdbot led to a surge in Mac mini sales because it is optimized to run efficiently on these devices, making them a popular choice for users. However, alternatives include using a VPS (Virtual Private Server) for as low as $5 per month, repurposing old MacBooks or gaming PCs, or even using a Raspberry Pi, though performance may vary.

QWhat are the key differences between Clawdbot and conventional AI assistants like ChatGPT or Siri?

AUnlike ChatGPT, which is primarily a chat interface, Clawdbot is an integrated life assistant with system-level access to perform tasks directly. Compared to Siri, which has limited memory, Clawdbot features persistent memory, proactive notifications, and the ability to execute commands on the user's device, making it more capable and context-aware.

Похожее

SemiAnalysis Dissects Huawei's Kirin 9030: Process Technology Halted, So They Folded the Chip

SemiAnalysis has published a detailed teardown report on the HiSilicon Kirin 9030 Pro chipset found in Huawei's Mate 80 Pro. Fabricated using SMIC's most advanced N+3 node without EUV lithography, the analysis reveals significant technical achievements and strategic shifts. The report indicates SMIC's N+3 has achieved transistor density comparable to TSMC's N6 (113.4 vs 107.7 MTr/mm²), primarily through aggressive use of Self-Aligned Quadruple Patterning (SAQP) for its metal layers. This results in a notably small 32.5nm M0 metal pitch. However, SemiAnalysis notes this achievement comes with significantly higher process complexity, cost, and potential yield challenges compared to competitors using more advanced tools. The Kirin 9030 design maximizes this constrained density. While its GPU performance has improved ~70% and matches Qualcomm's 2022 flagship level, the CPU core's IPC lags behind current top-tier designs from Apple and Qualcomm, a gap attributed to the underlying manufacturing technology rather than design capability. Facing long-term restrictions on advanced tools, Huawei is charting a new path. The report highlights the company's "LogicFolding" roadmap, a 3D stacking technique aimed at shortening signal paths to boost performance and efficiency. The goal is to reach 5GHz frequency and a projected density of 295 MTr/mm² by 2031. SemiAnalysis concludes that export controls have not halted China's chip progress but have fundamentally altered its trajectory, making it more expensive and complex. This has spurred innovation in alternative areas like 3D stacking and domestic EDA tool development, with Huawei's supply chain also beginning to integrate Chinese memory from CXMT.

marsbit24 мин. назад

SemiAnalysis Dissects Huawei's Kirin 9030: Process Technology Halted, So They Folded the Chip

marsbit24 мин. назад

How Will the Price Move Before SpaceX's Next Share Unlock?

TL;DR Investors buying SPCX after SpaceX's IPO are not simply investing in a typical tech stock. It’s a high-valuation asset driven by Musk's narrative, Starlink, and space transport potential, but with a key twist: a very small initial float of ~4% has led to significant post-listing price appreciation. The current price action reflects a timing gap. Before the first lock-up expiration (estimated around August, subject to official confirmation), scarcity and high demand could continue to push prices up. Short-term bulls focus on low float, FOMO, and potential index inclusion. However, bears point to the supply dynamics that will change post-lockup. Existing shareholders still hold over 95% of shares, which will be released in stages starting from the first unlock window. This introduces future selling pressure from low-cost holders. The upcoming Q2 earnings report is a critical catalyst before the unlock. It will test whether the company's fundamentals can justify the current ~$2.1T valuation. Strong results could support the pre-unlock momentum, while weak figures could amplify concerns about future supply. The trading thesis is shifting from immediate scarcity ("can't buy enough") to evaluating future absorption capacity ("who will buy when more supply hits"). The path ahead hinges on the specifics of the unlock schedule, Q2 earnings performance, and whether anticipated passive index buying materializes.

marsbit44 мин. назад

How Will the Price Move Before SpaceX's Next Share Unlock?

marsbit44 мин. назад

Bitcoin Short-Term Bullish Structure Validated, HYPE Low-Entry Window Opens | Guest Analysis

**Market Analysis Summary (Week of June 2026)** **Overall Market Context:** The market environment is exceptionally complex, with the unexpected US-Iran agreement and the reopening of the Strait of Hormuz triggering a global asset repricing and significant volatility. This heightened noise underscores the importance of a structured analytical framework. **Bitcoin (BTC) Analysis & Strategy:** * **Current Status:** The price has climbed above $65,000, currently in a rebound phase (segment 38-39) following a complex 12-segment correction from the May high of $82,850. * **Key Levels:** * **Primary Resistance:** $69,500–$70,500. A successful breakout above $65,000 targets this zone. * **Primary Support:** $65,000 (immediate), followed by $59,000–$60,000 and $55,000. * **Weekly Outlook & Strategy:** The focus is on the confirmation of the $65,000 level. * **Bullish Scenario (Hold $65K):** A move toward the $69.5K–$70.5K resistance zone is anticipated, which is a potential area for initiating medium-term short positions. * **Bearish Scenario (Break below $65K):** A retest of the $60,000–$62,000 support range is likely. * **Medium-Term Strategy:** Currently neutral. Plan to establish short positions (up to 60% allocation) either in the $69.5K–$70.5K resistance zone upon signs of rejection, or on a confirmed breakdown below $65,000 and further below $59K–$60K. * **Short-Term Strategy:** Utilize 30% capital for scalping opportunities based on support/resistance levels, using 30/60-minute charts. **HYPE Analysis & Strategy:** * **Current Status:** The price has stabilized around $52 after a four-segment decline from the June high of $75.87 and is now in a rebound (segment 50-51). * **Key Levels:** * **Primary Resistance:** $62.50–$64.57. Watch for potential rejection here to form a lower high. * **Primary Support:** $52–$55.50, followed by $47–$49. * **Weekly Outlook & Strategy:** Adopt a "buy on dips, avoid chasing rallies" approach. * **Core View:** Monitor the price action and potential formation of a lower high ("endpoint 51") in the $62.50–$64.57 resistance zone. * **Short-Term Strategy:** Consider light long positions (max 30% allocation) if the price finds support and shows reversal signals in the $52–$54.50 or deeper $47–$49 support zones, confirmed by proprietary quantitative bottom signals. **Trade Review:** Last week's HYPE short-term long trade, executed based on proprietary "Price Difference" and "Momentum" model signals, yielded a profit of approximately 11.88%. The entry was near $54.39 and exit near $60.85. **Risk Management Reminder:** Always set an initial stop-loss upon entry. Move stop-loss to breakeven at +1% profit, then trail it upwards to lock in gains as the trade progresses. *Disclaimer: All analysis, models, and strategies are based on personal technical analysis for educational purposes only, not investment advice. The market carries inherent risk.*

Odaily星球日报49 мин. назад

Bitcoin Short-Term Bullish Structure Validated, HYPE Low-Entry Window Opens | Guest Analysis

Odaily星球日报49 мин. назад

Bitcoin Short-Term Bullish Structure Validated, HYPE Accumulation Window Opens | Guest Analysis

**Bitcoin and HYPE Market Analysis: Short-Term Outlook and Trading Strategies** This market analysis examines Bitcoin (BTC) and HYPE amid volatile conditions, providing short-term outlooks and specific trading strategies. **Key Outlooks:** * **Bitcoin (BTC):** Focus is on whether BTC's recent move above $65,000 holds. A successful breakout could lead to a test of the $69,500-$70,500 resistance zone, where medium-term short positions are considered. A failure, breaking below $65,000, may trigger a decline towards the $59,000-$60,000 support area. * **HYPE:** The token completed a four-wave correction and is now rebounding. The key resistance zone is $62.5-$64.57. The trading strategy is "buy on dips," looking for entry opportunities near the $52-$54.5 or deeper $47-$49 support zones, pending confirmation from proprietary models. **BTC Trading Strategy:** * **Medium-term:** Primarily looking to establish short positions (up to 60% allocated capital) if price rallies to the $69,500-$70,500 resistance area and shows signs of reversal. Alternative plans involve initiating shorts on a breakdown below $65,000. * **Short-term:** Allocate up to 30% capital for intraday "spread" trades based on support/resistance levels on 30/60-minute charts. **HYPE Trading Strategy:** * **Short-term:** Adopt a dip-buying approach. Consider light long positions (under 30% capital) when price tests key support levels ($52-$54.5 or $47-$49) and shows stabilization, confirmed by proprietary "Price Spread" and "Momentum Quant" models. **Trade Recap:** The analysis reviews a successful HYPE long trade from the previous week, executed at ~$54.39 and closed at ~$60.85 for an ~11.88% gain, based on signals from the aforementioned models. **Risk Management Emphasis:** The article stresses strict capital allocation (under 30-60%), immediate initial stop-loss placement, and a trailing stop-loss protocol to lock in profits as trades move favorably. ***Disclaimer:** All analysis, models, and strategies are for educational purposes based on technical analysis, not investment advice. Markets are volatile; trade with caution.*

marsbit51 мин. назад

Bitcoin Short-Term Bullish Structure Validated, HYPE Accumulation Window Opens | Guest Analysis

marsbit51 мин. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

2025 год — год институциональных инвесторов, в будущем он будет доминировать в приложениях реального времени.

1.8k просмотров всегоОпубликовано 2025.12.16Обновлено 2025.12.16

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на AI (AI) представлены ниже.

活动图片