This episode is about Open Claw, the open source AI agent tool
that went from a side project by just a single Austrian developer
to what the CEO of NVIDIA, Jensen Huang, a couple of weeks
ago described as probably the single most important release of
software probably ever. He compared it to Windows,
Linux, HTML, and announced that NVIDIA were building their
entire enterprise agent strategy on top of it.
In today's episode, I'm going to explain how this project became
such a global sensation. I'm going to explain exactly why
it's one of the most important software updates ever, why it's
potentially more important than the web browser, than Linux,
than even the iPhone operating system.
And I'm going to also explain what it actually is, what's
innovative about it, what's new, and what it means for all of us.
This is In the Loop with Jack Harton.
Hope you enjoy the show. Let's start with what open core
actually is, because the first thing to understand about open
Core is it's it's not just a normal agent.
You know, yes, it is a chat bot still because, you know, all
agents are mostly chat bots and it feels mostly the same, but
underneath it's something very, very different.
Essentially what open core is, is a long running no dot JS
background service, often called a demon.
So in software terms, that is essentially a computer program
that runs as a background process.
So it doesn't rely on a user to initiate the process.
So it might handle typically on a, you know, a device, maybe
something like automatically connecting to your Wi-Fi.
Now open claw connects to your file system, your browser, any
APIs, your calendar, your e-mail.
It's on your laptop. It can run on a schedule.
It monitors all those applications for things that are
happening called events. It can change a series of
actions together and skills together, and it can message
you, you know, on text or Messenger or WhatsApp or
whatever it might be when it needs your input or attention.
Now, if you compare that to ChatGPT, which is a conversation
that you must start, whereas as long as your PC is open or you
got something to host it and keep it running, it's literally
always on. Then there's the interface, or
in this particular case, the lack of a web interface.
So there's no open claw, you know, web app that you make an
account with and log into. Instead, it works inside over 15
different messaging platforms that, you know, WhatsApp,
Telegram, Slack, Discord, Signal, iMessage, Microsoft
Teams, Google Chart. And you can just very simply
text it the same way that you'd text someone that is in your
team, you know, reschedule my Thursday meeting or, you know,
go to my emails, summarize them all, triage and prioritize them
all, write e-mail responses, and then I'll approve them.
Summarize the PDFs that have been sent to me across all these
different, you know, Microsoft Teams are Slack chats.
And I have to say, these types of things, when you try them,
they are quite magical. And that zero friction approach
to an agent doing something for you is why the adoption curve
has been so fast. I mean, staggeringly fast.
It's faster than ChatGPT, roughly 20 times faster by a
many visitor growth numbers. You know, every AI company spent
billions trying to get people to come to their own interface,
whereas Open Cloud simply went to them.
And you know, Anthropic and all the big platforms have of course
copied almost all of it. They copied the messaging first
approach with Cloud Code or Cloud Code channel, shall I call
it. They've got Bishop, Telegram and
Discord integrations within a few more weeks that brought out
dispatch, that brought out schedules.
So many of the different features that Open Claw built,
they've provided to users as part of the $20 or whatever
membership T you're on, but in a much more secure and Safeway.
And I think the speed of their response tells you a lot.
An open eye even went and bought Open Claw.
Now buying Open Claw is more buying the talent and the
people, which was basically just the main Austrian developer who
built it all because it was all open source and everybody could
access the technology and see how it was built anyway.
Now the skills and MCP ecosystem is where it gets really
interesting because a skill in Open Core is just a markdown
file, so a document type, so just a document type containing
human readable, so normal text instructions for a specific
task. Now if you've listened to last
week's episode, you'll understand exactly what a skill
is. I really recommend going listen
to that episode if you haven't. And it's one of the most
underutilized new capabilities that all AI systems globally are
now adopting. And any of those skills are able
to call into and connect to MCP servers.
So model context protocol, which is basically a wrap around of
integrations APIs. So it makes it really easy for
an agent to take actions in different systems.
So suddenly this agent has access to a huge ecosystem of
skills and a huge ecosystem of integrations and control of your
entire PC, and it can run around the clock for you.
You can see why it's an incredibly innovative approach
to how agents can do work for people.
And that community really blew up.
So Claw Hub hosts more than 13,000 community contributed
skills and basically each skill is like a mini app for an agent.
And then there's also memory open.
Claw stores everything in just markdown on your local machine,
such human readable. You can look at it, you can edit
it, and it essentially builds a three layer memory system.
And then what's really interesting about open claw is
the token economics. So obviously tokens are when
word start getting generated by an LLMA tickle.
A typical ChatGPT prompt uses maybe a few 1000 tokens and a
genetic open claw task where the agent plans, executes, checks
your PC does work, re pawns, re executes, all whilst you know
you're having a shower. It can consume 1000 times more
tokens and chat chi BT. So you can just imagine a
continuously running background agent, the kind that Jensen
Huang is envisioning everyone having, is going to burn
millions times more tokens per day than a single chat chi BT
conversation. Now obviously the CEO of the
company that sells everybody computer chips wants this to be
how everyone consumes credits, because obviously that means
everyone needs more computer chips from them.
So yeah, I think this dovetails really nicely into our Jensen
firing is so excited because he called Open Claw the operating
system of agentic computers. It's huge big conference just a
couple of weeks ago. So he said, and I quote Mac and
Windows are the operating systems for the personal
computer and Open Core is the operating system for personal
AI. You know, Windows and Apple made
personal computers accessible just to everybody, and Open
Claw, in his framing, does the exact same for personal agents.
And the deeper analogy is Linux. You know, Linux has become
basically the invisible infrastructure of the Internet.
You know, every cloud server, every Android phone, every smart
devices runs on a Linux, and they built all operating systems
on top of Linux. And Jensen is betting that Open
Claw becomes that invisible infrastructure of the agent era.
Linux took 30 years to reach ubiquitous global adoption.
Open Claw, on the other hand, surpassed that in three weeks.
Yes, you heard that right. Linux is one of the most
important open source technologies ever invented, is
literally the basis of most technology, and Open Claw has
become more widely adopted than Linux in just a few weeks.
So yeah, NVIDIA have obviously announced massive plans to make
Open Claw the fundamental pillar of its strategy so it can then
increase token generation globally from say 2 million
tokens per second, which is where we're at today, to about
700 million tokens a second, which is about 350% increase.
The scale of what Jensen Huang is describing is obviously just
ridiculous. You know, NVIDIA currently has
43,000 employees and he projects 75,000 human employees alongside
7 and a half million open call like AI agents over the next 10
years. For NVIDIA alone, that's about
100 digital workers per person and the things that you can get
open call to do, and very soon all the main platforms are going
to enable you to do the same on their systems.
The scale of production is quite outrageous and the number of
tokens that are going to be consumed is ridiculous, which
means that obviously Nvidia's chips are going to be very, very
important. So for those that you know, want
to jump into testing this, what I'd say is that you can a wait
for this to be fully released on all main systems that you feel
really comfortable with and trusted.
When that starts to happen, you know, core code and core Co
works, let's say, has already started doing that.
I'm going to do an episode as a full breakdown, but if you
really want to get into it and I would recommend people having a
go, I'll give you a few tips here and also how to do it
safely. So if you want to set it up,
ideally you have clock code maybe running in an IDE like
Visual Studio Codes. And then it makes it really,
really simple because it will just help you get through it
all. So if you want to do it, you can
go and look for Open Claw on GitHub and obviously just pull
it into whatever ID you're using.
You can go and search for Open Claw, clone the repo, go and
find the web URL, pull it into Claw code and you'll be able to
get guided through it. Quite frankly, I pick a use
case. It's quite simple, you know,
daily updates through my emails, for example, all that triaging
of emails. That's quite a nice one to get
into. If you've not got claw code in
like an ID or whatever, maybe go and check out Rep or cursor.
It's really, really simple. It honestly takes just a few
minutes if you haven't. The experience is a bit
friendlier if you're not used to being in, you know, Visual
Studio Code. And again, just find the repo,
get it in there, and you'll get guided through the process.
The one tip I'd really give for everyone is do not run this on
your main machine. So do not use this on your main
laptop. It's why people have been
rushing out to buy Mac minis. I think in the future, Mac minis
are going to be very, very, very popular because as we need 24/7
agents, you need your local machine to be turned on for an
agent to be doing work. And so I think just Mac Mini's
running in the background all the time and going to just have
agents. And it means I think we're going
to have Mac mini's always on in the background just to enable
our agents to do work for us. But anyway, don't set all of
this up on your local machine because there's a massive
security risk. You know, I think it was like a
third of all public skills made had some form of malicious
software or malicious prompt injecting hiddens inside it.
So do just be super careful there.
Once you give this access to your PC, it can literally go and
access your personal e-mail, your banking details,
everything. So I'm not just saying this to
be, you know, fear mongering because it's very easy to be
safe, but just make sure that you don't use your local main
PC. So where does this leave us?
Well, Jensen Huang called Open Claw probably the single most
important release of software probably ever.
And the claim is obviously incredibly self-serving The it's
a trillion dollar thesis on how can we sell loads of computer
chips because the world is consuming loads of tokens from
large language models. I think it's probably correct or
at least closer to correct than it may be first sounds.
This is the greatest leap towards the dream of agents
that, you know, people have talked about online for so long
and every model provider is racing to add open clause
features to their products. So I think very, very soon
you're going to see these type of capabilities democratized and
accessible to everyone. Anyway, thanks for listening and
I'll see you next week.