FREE Open Deep Research BEATS OpenAI Deep Research! (SAVE $200/mo!!)🤖 Another Wrapper GUI AI Agent

So as many of you guys know open aai recently released deep research and it has been completely disrupting the industry and blowing people's minds now the only downside to deep research is that it's behind a $200 a month pay wall by a Clos Source company called open AI so for those of you who have seen my recent videos you'll know that we recently covered open-source deep research which is a great tool that is just like deep research but it is open

Source and then yesterday we covered web UI now the beauty with web UI is that it is made by browser use which is something that is similar to open ai's operator but open source and they have a nice user interfacing gooey I did a video on it yesterday like I said and it has a lot of cool features and it makes it really easy to use with their user interface now the one downside with open-source deep research and it may not

Be a downside to some people but you can only use it within the command line and it is really good but it has something what is called breadth and depth which allows you to uh customize the query so you can get really really in-depth deep research or maybe a little bit less deep research maybe more shallow research but I was on Twitter today and I came across a cool solution so this gentleman right here actually made an open-source deep research to

Save you $200 a month and it is based on the CLI version of Deep research by David that we recently covered which is this one right here here and it allows you to have a beautiful looking gooey as you're using the power of this deep research project so in today's video I'm going to show you how you can use their Cloud version where you simply just add in your API keys or within the next couple minutes I'll show you exactly how

You can have this self hosted on your system add in your own API keys and be using deep research to save $200 a month without Ado guys let's dive right into it all right guys so all links I cover in today's video will be linked down below so this is the repo right here guys I'll give you a quick overview of it and then we'll dive into the cloud version and then show you exactly how to self-host this so this is

A modern interactive web interface built on the original Deep research CLI project which we covered this web app transforms the command line research assistant into an intuitive visually appealing experience using nextjs and Shad cnii so for those of you who are unfamiliar with the Deep research CLI project I'll give you a quick overview it uses fir crawl to do the web scraping and then uses open AI to perform the Deep research so a few key features intelligent research process research output

So produces markdown reports and findings and sources real-time progress tracking of research steps you got a modern interface a bunch of other stuff you can go through it all on your own time so this project if you don't know is built on another wrapper which essentially is another AI wrapper so you could check it out here it is a pretty cool interesting wrapper for your AI projects all right so before we get into the installation of this locally I'm going to

Show you that you can actually simply just use this in their Cloud version and you just fill in your API keys and you can get started with this right away so I'll leave the link down below but you simply just go to another rapper.com slopen depr research with dashes in between and then you'll see this right here now once you first load it up it's going to ask you to configure your API Keys like so so you're going to want to

Add your open AI API key and your fir crawl API key if you don't know about fir crawl go to fir crawl and make an account get an API key and then add that sucker in once you got your API Keys here we're just going to click on start researching and then boom simple as that now we can go ahead and one we can actually change some of these filters so if we want to do GPT 40 or GPT 40 mini

Or 03 mini and I'm just going to use O3 mini because it's super powerful and then we can adjust our breadth and depth right here to determine if we want really deep research or maybe not so deep research I'll just leave it right here with four breadth and two depth all right so to test this out I'm going to say open ai's new deep research model how it works and what it means for the future of AI and research let's go

Ahead and click on send we can see that is thinking right here and perfect it's asking us a couple follow-up questions before it gets into the research so one are you primarily interested in the technical architecture and training methodology a deep research or more implication I'm just going to say both for number one so both oh I forgot to put number two but uh it's good anyways it's just a test so now we can see starting in-depth research based on your

Inputs now we can see this nice UI right here so generated feedback questions researching up to four Ser queries since we added a bread of four and then created four Ser queries right here we can see those right here researching so open AI deep research model technical architecture breakdown and then found Five results processing right here five content items found generated two learnings okay so now it's going to take these learnings and have those learnings as it's doing the next searches

So researching found Five results now it has another query implications of open AI deep research model on future AI research and Innovation generated two more learnings going again to a next query right here so comparative analysis of open AI deep research versus traditional AI models generated two learnings still researching and this should be our last query right here so ethical and societal considerations of deploying opening eyes deep research model found four content items and this is a lot easier and a

Lot more visually appealing than you know seeing all the different uh you know logs within the terminal so I like this UI definitely a lot better for using this okay and boom here we have our report and yes this is very in depth I'm not going to read through it all of course but you can see opening eyes new deep research model architecture capabilities and future implications boom boom boom boom boom we have our table of contents introduction technical overview enhanced

O three model and training methodologies data synthesis and multimodal Analysis performance benchmarks applications across domains different domains here comparative analysis with previous models challenges and limitations ethical stuff future directions conclusion and as you can see very indepth here going over every single little thing and then we have at the bottom we have our sources so one 2 3 4 5 6 probably about 15 16 sources right here so this did a great job are you tired of pouring thousands of dollars

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This whole entire thing in a nice markdown file you could feel this to an llm or do whatever you want with this all right so how do we actually get this selfhosted right I showed you the cloud version let's self-host this so it's very simple we're just going to start by get cloning this Reaper right here all right so I ran get clone the repo URL and then you're going to CD into open- deep research right here so CD and then

Once you CD into open research you're going to run npm install to install all the different dependencies and then I like opening it in curvs sir you can open it in vs code or whatever IDE you want and you'll see a EnV file um env. example you're going to want to make a copy of that call ITV and then you're going to paste in your open AI API key your fir call Api key and then save that file after that you're

Just going to run npm runev and it's going to start up the development server on Local Host Port 3 ,000 and if you need those commands they are literally right in the repo right here you can simply just copy and paste and boom now you can see I have this open deep research gooey right here hosted on my Local Host so if we go over here and uh you can see we're using the environment variable API keys right here we can

Select our model right here I'm going to put uh two bread right now just for another test and put maybe one depth all right so I'll just say what is Agi how can we determine when we achieved it and we're using o 3 mini so a very powerful model if you guys haven't used that I definitely recommend trying it out so we can see it's thinking again all right so it's asking us some follow-up questions right here all right just for

This test I'm going to say all for all three now it's starting the in-depth deep research based on our inputs okay so you can see it's going through that same process researching the serfs right here okay and boom our researching is done and as you can see we have this nice in-depth report even though we put the lowest breadth and depth you can see the table of contents here AGI in context of Taxation definition of calculation looks like I actually forgot

To mention AGI for artificial general intelligence so it took it in many different definitions here like adjusted gross income okay it also did AGI and artificial general intelligence so we can see defining AGI and its Ambitions evaluation Frameworks and benchmarks practical evaluation methods comparative discussions I think you guys get the point here you can see all the different references here download the report so I think this is a very cool tool and it is a great build on top of the

Previous repository that we covered open deep research right here so so far I've showed you three different ways that you can actually go ahead this is the third one and use open deep research and save $200 a month instead of paying open AI that money to use their deep research now like I mentioned before I'm actually still paying open AI to use their deep research as well as their other tools like uh 01 Pro and whatnot and it's very powerful um

I'm currently you know using both and experimenting with both to see the different limitations but let me know what your thoughts are in the comments down below about open deep research about this new guey as well as about web UI and as well as uh deep research from open AI I know there's a lot of different ones there but let me know if you tried them all which one is your favorite and do you think it's worth $200 a month for

Open AI to um you know use their research or are you just going to stick with the open source ones let me know in the comments Down Below guys if you're new to this channel we upload videos all the time on AI marketing sales AI agents and a bunch of different stuff so if you like the type of content you got some value here I definitely appreciate liking this video commenting down below and subscribe to stay up to date with all

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