Feb 11, 20252 min read

FREE WebUI Beats OpenAI Deep Research & Operator!🤖 (ANY LLM) Open Source Browser Use AI Agent

FREE Broswer Use AI Agent🤖 OpenAI Operator Open Source Alternative Controls Your Browser!

https://github.com/browser-use/web-ui

https://browser-use.com/

https://github.com/browser-use

https://docs.browser-use.com/introduc...

https://openai.com/index/introducing-...

Book a call with me 👉 https://executivestride.com/apply

Accelerate Your Stride With AI Agents🤖📞 https://strideagents.com

🤖 FREE STRIDE AI COMMUNITY!

https://community.executivestride.com...

My n8n indepth course:

• The Best FREE n8n RAG AI Agents Course!🤖 C...

The commands I mentioned in video for ollama: http://notepad.link/share/xXWkd6lzK9L...

🐱 Github Repo!

https://github.com/joshpocock/Stride-...

📄 79 n8n Agent Page Document!

https://docs.google.com/document/d/1n...

🤑 FREE VALUE:

👉 Free 6-Day Accelerate Your Stride Challenge: https://accelerateyourstride.com 👈

📞 BOOK A FREE STRIDE SCALING SESSION 📞

===============================

👉 https://executivestride.com/apply 👈

===============================

FREE FACEBOOK & DISCORD COMMUNITY (EXCLUSIVE RESOURCES, TEMPLATES, AND TRAININGS)

👉 https://stridecommunity.com 👈

📱 Follow Me On Other Socials & Lets Connect!

Instagram: / joshfpocock

LinkedIn: / joshpocock13

Facebook: / joshpocock13

Twitter/X: / joshfpocock

TikTok: / joshfpocock

👇 CLICK HERE TO SUBSCRIBE FOR FREE

===============================

👉 http://bit.ly/SUBSCRIBE2JOSH 👈

📞 BOOK A FREE STRIDE SCALING SESSION 📞

===============================

👉 https://executivestride.com/apply 👈

THE BEST CRM IN THE WORLD 🌎

14-Day free trial to GoHighLevel:

👉 https://gostridelevel.com/

⏳ Timestamps

00:00-Introduction to Free WebUI Alternative for OpenAI Operator & Deep Research

00:36-Overview of OpenAI’s Operator & Deep Research Tools

01:06-Limitations of OpenAI’s Operator & Deep Research Plan

01:27-New Open Source WebUI Solution for AI Automation

02:41-Setting Up the Open Source WebUI for Any LLM

03:14-Installing Python Environment & Dependencies

03:52-Configuring Environment Variables for API Keys

04:22-Options for LLM Models & API Key Configuration

04:57-Running WebUI Locally & Exploring the Interface

05:51-Customizing AI Agent & Browser Automation Settings

06:20-Selecting LLM Models & Adjusting Parameters

06:41-Browser Settings & Advanced AI Automation Features

07:15-Sponsored Segment: Stride AI Appointment Setters

07:40-Stride AI’s Sales Automation & Cost Efficiency

08:04-Deep Research & Web Automation Features Overview

08:29-Demo: AI Agent Conducting YouTube Research Task

08:53-Live AI Browser Automation for Data Collection

09:23-Extracting YouTube Channel Data with AI Agent

10:05-Viewing AI Research Results & Content Plan Generation

10:31-Demo: Running Deep Research with Open Source WebUI

11:03-Customizing Deep Research Queries & Search Iterations

11:26-AI Browsing Multiple Sites for Research Data Extraction

12:07-Real-Time AI Research & Multi-Query Processing

12:44-Deep Research Data Storage & Report Generation

13:19-Scaling Deep Research with Multiple AI Browsers

13:52-Reviewing Generated Research Report & Citations

14:24-Accessing & Downloading AI Research Reports

15:02-Comparison of OpenAI’s Deep Research vs Open Source Alternative

15:26-Final Thoughts: Open Source AI Automation vs OpenAI Pro Plan

15:56-Join Stride AI Academy, Facebook Group & Discord

16:22-How to Implement AI Agents in Your Business

Transcript

all right guys so in yesterday's video I

mentioned that I actually just purchased

chat GPT Pro and now I'm spending $200 a

month for operator and deep research and

in that video I actually covered an

opsource deep researching tool that you

can run in the command line 100% for

free of course you use the API and I

mentioned that it's a good alternative

because not everyone can really afford

nor do some people even see the value in

paying $200 a month for open AI tools

and a few days before that we actually

made a video on browser use which is an

open source alternative to open ai's

operator and if you don't know about

operator and browser use these are two

of the main tools that you actually get

in the Pro $200 a month plan deep

research does PHD level deep research on

any single topic and then open ai's

operator is essentially a tool that can

control browsers and AI agent do

specific tasks now both of these of

course are close source and they also in

some extent are limited for example with

deep research at the moment you only get

100 deep research searches a month it's

very labor intensive and then open ai's

operator is limited in some regard to

visiting certain sites or doing certain

actions so with the open source browser

use and the open- source deep research

that I covered both of these tools were

really great Alternatives but in both of

these videos with both these tools you

had to use the command line and there

was no beautiful web interface gooey

well in today's video I'm going to show

you an open-source solution that

literally cures both of those problems

for open ai's operator and deep research

this is a web guey that is made by the

same creators as a browser use and it

even has deep research capabilities

you're going to be able to self-host

this solution locally in the next 5

minutes and use it with any llm of your

choice if you don't want to spend $200 a

month and you want to open source

solution hosted on your computer ASAP

then stick around and let's dive right

into it all right guys so for those of

you that saw my browser use tutorial um

like I mentioned this is made by the

same creators of browser use right here

so if we go up here you can see it's

made by browser use and this is a really

cool tool they also have a h a cloud

version too um that's 30 bucks a month

but of course we're going to be looking

at the um self-hosted versions The open-

Source versions but um yeah if you want

to check it out you can check out their

website here I would also recommend

checking out their docs especially if

you're going to be using uh the browser

use right here where it's in Python code

Beauty behind web UI is it's actually a

gooey so you don't have to worry about

any code custom code anything like that

very very simple to use and you can

easily customize it with any llm so

we're going to get started first thing

you're going to want to do is go to this

repo which will be linked down below of

course I'm also going to link the docks

right here for the quick start guide so

what we're going to do is simply just

run get clone and then the repo URL

right here and then we're going to

change directory into web-ui and those

commands of course are simply right here

then what we're going to do is set up

our python environment so we recommend

using UV is what they say right here so

just download UV it's good for managing

python environments then just run UV

vv-- python 3.11 to create the virtual

environment and you can see that we did

that right here next we're going to run

depending on if you're on Windows or Mac

or Linux for Windows you're going to run

uh either this in command prompt or this

in Powershell right here um and then on

macro Linux You're simply just going to

run this so run those commands to

activate the virtual environment then

we're going to install our dependencies

so you're simply just going to run this

command UV pip install dasr

requirements.txt and then we're going to

install playright so you're going to run

playright install now once that's done

we're going to want to configure our

environment with our environment

varibles so I just like opening it in

cursor you can open it in vs CL or

whatnot so I just run cursor dot to open

it up in vs code which is right here and

then what you're going to want to do is

copy your env. example which you will

see make a clone of that and rename it

Tov now you have two options you can

either set your API Keys up in here or

you can set it up in the UI or you can

do both or either so you have a lot of

options here as you can see open a I key

anthropic Google Azure deep seek mist ol

llama so you can use any open source

model then you have some different stuff

down here as well I'm just going to keep

this all on default okay and once you

configure those environment variables

we're actually going to start things up

now you will see that there is a Docker

installation option too I'm not going to

cover that it's literally right here if

you do want to use Docker I just prefer

not to use Docker personally now we're

going to run Python webui dopy and then

with these flags right here so we're

simply just going to copy this and run

this Command right here okay once you

run this command give it a couple

seconds and it's going to start on Local

Host port

7788 and this is the browser use web UI

interface and boy isn't it beautiful I

mean it's I mean it's not too beautiful

but at least it's you know a nice UI and

once you actually see what it's going to

be able to do it's very impressive so

and as a side note as you can see

there's the open AI endpoint right here

so if you did want to change it to

something like together AI or whatever

the case may be say if you wanted to use

a hosted version of deep seek instead of

using the Deep seek API directly through

China you wanted to use one that's in

the US then you can definitely do that

with an open AI like base URL right here

and I'll probably cover that in

different videos using this browser use

web UI tools showing you different use

cases cuz there's a lot of different

configurations with different llms and

different scenarios um and so yeah I'm

excited to use this more often okay so

you can see different options here agent

type so select the agent type you want

to use or or custom we'll just keep it

org and then Max Run steps so maximum

number of steps the agent will take you

can see Here Right Now the default is

100 Max actions per step all right so

the default here is 10 and then enable

visual processing capabilities we're

going to turn that on and then llm

configuration so you can select your uh

llm provider right here and then you can

select the model name and so we could

use uh 03 mini if you want which is

really nice this is a very very powerful

model and I really enjoy it so far and

then you can change the temperature

right here so control the randomness in

model outputs oh you could also add the

base URL right here which is really nice

that they have this configuration in the

UI and you could also add your API key

here too so you can see here leave blank

if you just want to use a EnV but if you

want to override that you can do that

here as well next is the browser

settings so you can use existing browser

instance keep browser open between tasks

run browser without headless mode

disable browser security features enable

saving browser recording so this is

really cool too browser width height

recording video path Trace path uh agent

history save path so you can see these

are all saving in the temp file are you

tired of pouring thousands of dollars

into appointment Setters only to watch

leads slip away imagine having a team of

elite sales agents booking qualified

appointments for you around the clock no

more wasted time on training no more

frustration with performance and no more

draining your budget on inconsistent and

expensive call centers introducing

stride agents AI powered appointment

centers that work 24/7 never get tired

and book appointments while you sleep

trained on thousands of successful

conversations our AI agents outperformed

human teams at just one tenth of the

cost join the ranks of businesses that

doubled their appointments and booking

rates in just a matter of weeks don't

get left behind in the AI Revolution

visit stride agents.com now and

transform your entire sales process with

Cutting Edge AI technology it's time to

accelerate your stride with AI agents so

you'll be able to access that by just

simply going to the temp file right here

and then run agent will come back to

this in just a second deep research will

also come back to this in just a second

the results are going to show right here

latest recording all that stuff

recordings are going to show right here

and then configuration so you can load

config file or you can save a current

config file if you save a current config

file it's going to save in this temp

folder right here and it's a pkl file

all right so here we can put our task

description here so for example I'm

saying go to youtube.com search for Josh

pook find the names of One his last five

most recent videos two how many

subscribers he has and three create a

Content plan for his channel to create

videos make it in- depth and custom to

him based on your research any

additional information if you want so

you can add hints for the llm to

complete the task we're just going to go

ahead and click run agent now you can

see we're getting those logs in the

terminal and it actually just opened up

the browser so you can see that it went

to YouTube already we can see the memory

the next goal the action right here

where it navigated to so that completed

step one now it's analyzing the page and

it's going to use step two so you can

see it's using the that same kind of uh

interface it uses with browser use but

now we're using it in the web guey now

it's typing in Josh pook my okay we

pulled up my YouTube channel here it's

analyzing the uh screen again okay and

boom we got our report here so let's see

so Josh has 16.8k subscribers um we can

see the names of these recent YouTube

videos right here so it's pulling them

right here and then content plan for

Josh's channel so deep dive reviews you

can see the description here howto

series industry Trends case studies

Community engagement collaborations

Insider insights and keep in mind guys

this is a very basic prompt I could get

it to maybe do more do some competitor

research get some ideas of different