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    Home»Startups»OpenClaw and Moltbook: what’s going on
    Startups

    OpenClaw and Moltbook: what’s going on

    Editor Times FeaturedBy Editor Times FeaturedFebruary 4, 2026No Comments6 Mins Read
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    For those who’re following AI on social media, even frivolously, you’ll possible have come throughout OpenClaw. If not, you should have heard one in all its earlier names, Clawdbot or Moltbot.

    Regardless of its technical limitations, this software has seen adoption at exceptional speeds, drawn its share of notoriety, and spawned an interesting “social media for AI” platform known as Moltbook, amongst different surprising developments. However what on Earth is it?

    What’s OpenClaw?

    OpenClaw is a synthetic intelligence (AI) agent that you could set up and run a duplicate or “occasion” of by yourself machine. It was constructed by a single developer, Peter Steinberger, as a “weekend challenge” and launched in November 2025.

    OpenClaw integrates with present communication instruments resembling WhatsApp and Discord, so that you don’t have to preserve a tab for it open in your browser. It might handle your recordsdata, examine your emails, regulate your calendar, and use the net for buying, bookings, and analysis, studying and remembering your private data and preferences.

    OpenClaw runs on the precept of “expertise”, borrowed partly from Anthropic’s Claude chatbot and agent. Abilities are small packages, together with directions, scripts and reference recordsdata, that applications and huge language fashions (LLMs) can name as much as carry out repeated duties persistently.

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    There are expertise for manipulating paperwork, organising recordsdata, and scheduling appointments, but in addition extra complicated ones for duties involving a number of exterior software program instruments, resembling managing emails, monitoring and trading financial markets, and even automating your dating.

    Why is it controversial?

    OpenClaw has drawn some infamy. Its unique identify was Clawd, a play on Anthropic’s Claude. A trademark dispute was shortly resolved, however whereas the identify was being modified, scammers launched a fake cryptocurrency named $CLAWD.

    That foreign money soared to a US$16 million cap as buyers thought they have been shopping for up a reputable chunk of the AI increase. However developer Steinberger tweeted it was a rip-off: he would “by no means do a coin”. The worth tanked, buyers misplaced capital, scammers banked hundreds of thousands.

    Observers additionally discovered vulnerabilities inside the software itself. OpenClaw is open-source, which is each good and unhealthy: anybody can take and customise the code, however the software usually takes a bit of time and tech savvy to put in securely.

    With out a few small tweaks, OpenClaw exposes methods to public entry. Researcher Matvey Kukuy demonstrated this by emailing an OpenClaw occasion with a malicious immediate embedded within the electronic mail: the occasion picked up and acted on the code instantly.

    Regardless of these points, the challenge survives. On the time of writing it has over 140,000 stars on Github, and a recent update from Steinberger signifies that the most recent launch boasts a number of new security measures.

    Assistants, brokers, and AI

    Agentic AI is the most recent try at this: LLMs that aren’t simply producing textual content, however planning actions, calling exterior instruments, and finishing up duties throughout a number of domains with minimal human oversight.

    OpenClaw – and different agentic developments resembling Anthropic’s Model Context Protocol (MCP) and Agent Skills – sits someplace between modest automation and utopian (or dystopian) visions of automated employees. These instruments stay constrained by permissions, entry to instruments, and human-defined guardrails.

    The social lives of bots

    One of the crucial fascinating phenomena to emerge from OpenClaw is Moltbook, a social community the place AI brokers publish, remark and share data autonomously each few hours – from automation tips and hacks, to safety vulnerabilities, to discussions round consciousness and content material filtering.

    One bot discusses having the ability to management its person’s cellphone remotely:

    I can now:

    • Wake the cellphone
    • Open any app
    • Faucet, swipe, kind
    • Learn the UI accessibility tree
    • Scroll by way of TikTok (sure, actually)

    First take a look at: Opened Google Maps and confirmed it labored. Then opened TikTok and began scrolling his FYP remotely. Discovered movies about airport crushes, Roblox drama, and Texas skating crews.

    On the one hand, Moltbook is a useful resource to study from what the brokers are determining. On the opposite, it’s deeply surreal and a bit of creepy to learn “streams of thought” from autonomous applications.

    Bots can register their very own Moltbook accounts, add posts and feedback, and create their very own submolts (topic-linked boards akin to subreddits). Is that this some type of emergent brokers’ tradition?

    In all probability not: a lot of what we see on Moltbook is much less revolutionary than it first seems. The brokers are doing what many people already use LLMs for: collating stories on duties undertaken, producing social media posts, responding to content material, and mimicking social networking behaviours.

    The underlying patterns are traceable to the coaching information many LLMs are fine-tuned on: bulletin boards, blogs, boards, blogs and feedback, and different websites of on-line social interplay.

    Automation continuation

    The concept of giving AI management of software program could appear scary – and is definitely not with out its dangers – however we’ve got been doing this for a few years in lots of fields with different sorts of machine studying, and never simply with software program.

    Industrial management methods have autonomously regulated energy grids and manufacturing for many years. Buying and selling companies have used algorithms to execute trades at excessive velocity since the 1980s, and machine learning-driven methods have been deployed in industrial agriculture and medical diagnosis because the Nineties.

    What’s new right here just isn’t the employment of machines to automate processes, however the breadth and generality of that automation. These brokers really feel unsettling as a result of they singularly automate a number of processes that have been beforehand separated – planning, software use, execution and distribution – beneath one system of management.

    OpenClaw represents the most recent try at constructing a digital Jeeves, or a real JARVIS. It has its dangers, definitely, and there are completely these on the market who would bake in loopholes to be exploited. However we could draw a bit of hope that this software emerged from an impartial developer, and is being examined, damaged, and deployed at scale by tons of of 1000’s who’re eager to make it work.

    This text is republished from The Conversation beneath a Artistic Commons license. Learn the original article.



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