Claudebot is changing the game when it

comes to AI assistance. Most AI tools

today live in a browser. You open a tab,

you ask a question, you get an answer,

and once you close that tab, everything

just kind of disappears. They're useful,

but they don't really feel like

assistants. And that's exactly the

problem Cloudbot is trying to solve.

Unlike typical AI chat bots, Claudebot

is a self-hosted AI assistant that runs

directly on your computer. It connects

to powerful AI models like claude or

chatgypt for intelligence while the

agent itself lives locally on your PC.

And this means it can actually do things

for you like write code, create files,

browse the web, and integrate with

platforms like Telegram, Slack, and

Discord. So, in this complete beginners

tutorial, I'm going to walk you through

everything that you would need to know

about Claudebot. We'll cover what makes

it special, whether you need specific

hardware, the costs involved, and most

importantly, I'll show you exactly how

to set it up step by step from getting

your API keys to having your first

conversation through Telegram. So, by

the end of this video, you are going to

have your own local AI assistant running

on your own computer, ready to help you

with your daily tasks. So, let's go

ahead and dive in and get Cloudbot set

up together. So, what exactly is

Claudebot? Most AI tools today live in a

browser. Again, you open a tab, ask a

question, get an answer, and once you

close that tab, everything just kind of

disappears. They are useful, but they

don't really feel like assistance at

all. They feel more like tools that you

have to keep reopening over and over

again. And that's exactly the problem

Claudebot is trying to solve. Claudebot

is a self-hosted AI assistant that runs

directly on your own computer. So

instead of living inside a web

interface, it just connects to dedicated

AI models like Claude or Chat GPT for

its intelligence while the agent itself

lives locally on your PC. What makes

that interesting is what it can actually

do. And Claudebot isn't just limited to

chat only. It can connect to Telegram,

Slack, Discord, Google even, and of

course other tools depending on how you

set it up. You can use it to write code,

build applications, do research, create

lists, or handle tasks that you would

normally bounce between multiple labs

for. Because it's running locally,

everything stays on your machine. Your

conversations, your files, your context,

none of that is sitting on some random

third-party server. And that's the real

advantage here. So, with the right

configuration, Cloudbot feels way less

like a typical AI chatbot and a lot more

like an actual assistant that

understands your workflow and can

interact with your computer. You can

have it help build full projects, manage

research, or automate things in the

background all while chatting with it

through Telegram or whatever platform

that you prefer. So, what are the main

features of Cloudbot? When people hear

AI assistant, they usually imagine

something that understands their

workflow and helps behind the scenes.

[music] In reality, a lot of the tools

stop at conversation and don't go much

further than that. Once you start using

Clawbot, though, it will be very much

obvious that it's more than just a

chatbot. It's designed to actually do

things for you and not just respond to

prompts. At a basic level, Claudebot can

execute commands directly on your

computer. It can create files, write

code, and even browse the web if you've

configured it properly. And that opens

the door to automating tasks and

handling real work instead of just

getting text responses. [music]

It also integrates with messaging

platforms like Telegram and Slack and

Discord. So, you're not locked in to a

single interface. You can talk to it

from the tools you already use every

day, which makes it feel a lot more

natural to work with. One of the more

powerful features is memory. Claudebot

can remember past conversations and your

preferences over time. So, the more that

you use it, the better it starts to

understand how you work and what you

usually need help with. On top of that,

there's a web dashboard that gives you a

full view of your chat history, the bot

status, and all of your settings. So you

don't need to dig through config files

unless you actually want to. Everything

important is visible in one place.

Cloudbot also supports multiple AI

models. So if you have API keys for both

cloud and chat GBT, you can just switch

between them depending on what you need

at the moment, which is great if you

prefer one model for certain tasks over

another. And finally, file creation is a

big one here. Cloudbot can generate

documents, spreadsheets, and

presentations and other files too,

directly from your requests without you

having to open a single application. Do

you need a Mac Mini or a Mac device? A

question that comes up a lot is whether

you need a Mac Mini or even a Mac at all

to run Cloudbot. And the short answer is

nope. You can run Claudebot or Multibbot

on pretty much any modern device,

whether you're on a Mac, Windows, or

Linux even. There's no special hardware

requirements and no need to dedicate a

machine just for this. It also doesn't

use a ton of system resources because

you're not running a full language model

locally. Claudebot just connects to

existing AI models from providers like

Anthropic or OpenAI. So your computer is

mainly just running the agent itself.

Are there costs involved? So when it

comes to cost, Cloudbot itself is

completely free all to use. You're not

paying for the software or the agent.

What you do need though is an API key

from an AI provider like Anthropic or

OpenAI. And that is where any cost comes

from. How much you end up paying really

does depend on how often you use it and

which model you choose as your default.

More powerful or newer models of course

will cost more per request, but they

also tend to give better results. So

there is a trade-off there. Lower tier

models are cheaper, but the experience

can feel a bit more limited. On top of

that, some of Cloudbot's advanced

features really do rely on additional

thirdparty services, which means extra

API keys and potentially extra cost. So,

while Cloudbot itself is free, the total

cost can vary quite a bit depending on

how you configure it and how heavily you

use it. So, how difficult is it to set

up Cloudbot? So, let's be real here. The

setup isn't completely plugandplay.

Sorry. Especially if you're not used to

working with the terminal or dealing

with API keys. There are a few moving

parts and it can feel a bit intimidating

at first. You'll need to install things

like Node.js, add your API keys, and set

up whichever messaging platform you want

to use, like creating a Telegram bot.

Some of that involves running terminal

commands and in a few cases editing JSON

files, which can be unfamiliar territory

if you're not a developer. The good

news, though, is that once everything is

configured properly, Cloudbot runs very

smoothly, and you rarely need to touch

the settings again. It's mostly just a

one-time setup. The documentation

definitely helps, but you may still run

into a few bugs or some rough edges

along the way, especially around API

keys and gateway tokens. But if you're

comfortable following guides and using

basic terminal commands, well, you

should be able to get everything up and

running in about 30 to 60 minutes. The

hardest part here is usually just

getting all the keys set up correctly

and making sure your messaging platform

connects properly. So, before we install

anything, we do need to decide which AI

model Claudebot is going to use. To do

that, we'll need an API key from an AI

provider. I'm going to use Claude, but

you can follow the same process with

other supported providers if you do

prefer. Claudebot supports multiple

providers. So, if you'd rather use, say,

OpenAI instead, you can just grab an API

key from OpenAI and follow along with

that. And if you're going with Claude,

then head over to platform.claw.com

and choose the option to get an API key.

From here, you'll be asked to give the

key a name. And once it's created, all

you got to do is just copy it. We'll be

pasting this into Cloudbot during the

setup in the next step. Now that we've

got our API key, the next step is

actually just installing Claudebot. And

the process itself is pretty

straightforward. On the CloudBot website

here, you'll see a single line install

command. Just copy that, open up your

terminal, and paste it in. Once you run

it, the installation will start

automatically. And at this point, you

just let it do its thing. If Node.js JS

or Git isn't already installed on your

system, the installer will take care of

that for you. In my case here, I already

had everything set up since I am a bit

of a developing developer, if you could

say that. So, it's really just

installing CloudBot itself. And once

that's done, you just wait for the

installation to finish before moving on

to the configuration steps. Once the

installation finishes, Claudebot will

automatically jump straight into the

configuration process. Here, you don't

have to manually start anything. It just

picks up right where the install leaves

off. Early on, you'll see a prompt that

says something along the lines of, "I

understand this is powerful and

inherently risky. Continue." So, go

ahead and say yes here so you can move

forward with the setup. Next, you'll be

asked to choose an onboarding mode. So,

for this setup in this video, go with

quick start. It's the fastest and the

easiest option and lets you get

everything up and running without having

to tweak a bunch of settings right away.

After that, you're going to be asked to

choose your AI provider. This is where

you decide which model Claudebot will

use for its intelligence. Since we

grabbed a Claude API key earlier, I'm

going to select Anthropic here. Just

keep in mind this isn't a permanent

decision. You can use any supported

provider that you want and it really

comes down to personal preference. After

selecting Enthropic, choose Enthropic

API key and paste in the key you copied

earlier. After that's set, Cladbot will

ask you to pick a default model. There

are quite a few models available, so

this part is really about balance. In my

case, I went with Sonnet 4.0 because

it's efficient and still has a fairly

recent knowledge base. More powerful or

newer models will generally give better

results, but they will also burn through

your credits a lot faster, and that's

something to keep in mind here. The good

thing is you're not locked into this

choice. You can always switch models

later if you just want to. Just be aware

that each model has its own personality,

so to speak. So, if you change it down

the line, the responses might be a

little different. So, after that initial

setup in the terminal, the next step is

moving the conversation over to

Telegram. Open up the Telegram bot that

we just created and send the

forward/start command to kick things

off. After a short moment, Claudebot

should respond, letting you know that

the connection is working and that it's

ready to chat with you. Once you see

that message, you're officially talking

to your own local AI through Telegram.

And from here, you can start having real

conversations with it. I'm going to ask

it a few questions, bring up some

general topics, and then give it more

information about myself and what I do.

And you can see that it responds

properly and keeps the context of the

conversation. This part is actually

pretty important because the more you

talk to Claudebot and give it context

about how you work, the better it gets

at understanding you. And just like with

training AI models, giving it more

information over time helps it build

better memory and respond in a way that

fits your workflow. Also, let's go into

the Claudebot dashboard here where you

can see the chat history showing up in

real time. Now, that's a good way to

confirm that everything is connected

correctly and that's all working as

expected. After setting everything up

and chatting with Cloudbot just for a

little bit, you might start wondering,

huh, what else can it actually do? Well,

Telegram is a great starting point, but

it's really just the beginning here.

Cloudbot isn't limited to Telegram only.

It can also integrate with other

platforms like Slack, Discord, and

additional messaging tools. You just

need to configure them in the settings.

Once set up, you can interact with the

same local AI from multiple places. It

can also interact directly with your

computer. Cloudbot can run bash

commands, create files, and help

automate tasks, which makes it

especially useful for things like

coding, file management, or repetitive

workflows. So, if you connect a web

search provider like say Brave Search,

Cloudbot can pull in up-to-date

information from the web instead of

relying only on its training data.

That's really useful when you need

current information or just some quick

research. Memory is another big part of

how Cloudbot works. It remembers past

conversations and can reference them

later. So, the more you do actually talk

to it, the better it understands your

preferences and how you work. On top of

all of that, it can also write and run

code directly. Why not? Of course,

[music] generate documents,

spreadsheets, presentations, and manage

files, all from chat. You can ask it to

create reports, organize your data, or

draft documents without opening any

other apps. You can also customize how

Cloudbot behaves, what it calls itself,

and how it responds. So, it does feel

more tailored to your workflow instead

of a generic assistant. Also, there's a

built-in web dashboard at localhost

col18789

where you can see your full chat

history, monitor the bot status, and

manage settings without ever touching

configuration files. And finally,

everything is privacy focused. Because

CloudBot runs locally on your machine

only and connects directly to the AI

provers API, there's no routing your

conversations through third-party

servers. At the end of the day,

Claudebot is basically your own local AI

powerhouse. Something that you can talk

to from your phone or your desktop, but

that actually lives on your machine and

works the way you want it to. And that's

pretty much it. That's CloudBot in a

nutshell. It's a local AI assistant that

actually works with you, not just talks

to you. We focused on the core setup

here so you can get up and running

without over complicating things. But

there is a lot more you can build on top

of this once you are comfortable. Thanks

for watching and investing your time

with me today. I'll see you at the next

one.