6 Open-Source AI Projects Trending NOW

Here are six incredible open- source projects that you can install right now.

Let's get into the first one, Unsloth.

It started as a way to make LLM fine-tuning locally much easier for the average person like me. Now, it has evolved into a powerhouse of a tool for

everything from fine-tuning to running inference, training models, and everything in between. So, let me show you a little bit about it. Again, it is free. It is open source. It comes in

free. It is open source. It comes in Windows, Mac, Linux, everything you need. You can run and train all the

need. You can run and train all the latest open- source models including Kimmy K3, Miniax, Quen 38, Muse Glimmer, which just launched by Meta, Deepseek

V4, Gemma by Google, everything. It is

also now a fullyfledged agent UI. So, it

looks just like Chat GBT. Of course, you could type anything in here, but of course, it is running a local model. It

has web search. You can plug in tools.

You can have MCP. It has memory.

Everything that you need all in one place and all local. All of the features that you've come to really depend on and love from products like Codeex and Cloud Code and Cursor are all built into

Unsloth, but again, everything just runs locally. It supports all different types

locally. It supports all different types of hardware. You can actually remote

of hardware. You can actually remote access into it, which is really nice. So

you have it running on one computer, you can open it up from another and control that computer from anywhere in the world, which is very similar to what Codeex and Cloud Code and Cursor also do. You can run and train image models,

do. You can run and train image models, video models, text models, basically everything really just out of the box.

It works extremely well. And one thing that I absolutely love is if you're trying to dip your toe into training and fine-tuning, it can be extremely intimidating. There are so many

intimidating. There are so many different settings, so many different ways that things can go wrong. But

Unsloth makes it really easy and you don't need to code at all. It's

basically just a point-and-click interface that allows you to do training, to do fine-tuning, and it walks you through it and just makes it all really easy. And by the way, I'm going to drop all of the links to all of

these projects down below. Next is a project called diagram design. Diagram

design gives your agent the ability to create diagrams that are actually good-looking and don't have arrows that are all broken and overlapping and really nice, really simple and easy to

use. And they have a ton of different

use. And they have a ton of different diagram options for you. Here's a

flowchart. Here's an architecture chart, a state machine, a timeline. Basically,

everything you could possibly need.

Quadrant, all easily available. You just

give it to your agent. You can install it as a plugin in Cloud Code, plugin in Codeex, in Pi, and you can install it in Hermes Agent, which is what I'm going to show you how to do right now. And today

I'm hosting Hermes on Hostinger, who's also sponsoring this video. So, check

this out. I already have Hermes set up for myself in Hostinger, which means it is hosted in the cloud. I don't need to actually have my computer on and running

all day long. I simply type install this, give it the GitHub URL, and then hit enter. So, it installed it as a

hit enter. So, it installed it as a skill. It only took 1 minute. And now I

skill. It only took 1 minute. And now I can create a diagram. Let me show you how to do that. Create a diagram for Hermes agent to show the architecture.

And of course, it knew to use the diagram design skill. And while that's going, let me just explain why hosting and hosting in the cloud is so important. You don't have to keep your

important. You don't have to keep your computer on. And in fact, that was fast.

computer on. And in fact, that was fast.

You can run background processes 24 hours a day. It's actually a one-click install to get Hermes running. So, if

Hermes was a little bit intimidating to you, this is a great solution. One click

and you're in. The diagram design skill worked flawlessly. This looks beautiful.

worked flawlessly. This looks beautiful.

And don't forget to use code Matthew B in the checkout to get 10% off. If you

sign up for 24 months, you get the biggest discount. So, go check it out.

biggest discount. So, go check it out.

Link down below. Next is Obsidian Skills. And if you're not familiar with

Skills. And if you're not familiar with Obsidian, you should definitely check it out. It's basically a simple note-taking

out. It's basically a simple note-taking app, but everything is done in markdown.

Obsidian kind of reminds me of this image. What you see when you first get

image. What you see when you first get into it and start using it is this little bit on top. But with those simple primitives, you can get so much functionality out of it. I sync it

across all of my devices. It is really cool. And now you can give your agent

cool. And now you can give your agent access to your Obsidian and let it use it in all these different kind of cool ways. Obsidian skills uses the agent

ways. Obsidian skills uses the agent skills specification, so it can be used with any agent, including Hermes, which I just showed you, Claude Code, Codeex,

Cursor, Grockbot, all of the above. I've

seen people do incredible things with Obsidian, like using it as a wiki, using it as a knowledge base for their agent, basically throwing everything into it

and using it as kind of the brain of the agent. And obviously agents work really

agent. And obviously agents work really well with markdown and Obsidian is all about markdown. So it works really

about markdown. So it works really cleanly with your agent and your agent can just use it. It can store all of these things locally if you want. It is

very much local first. If you want to sync across all your devices like I do, you can also do that quite easily. And

now again with Obsidian Skills, your agent has access to knowing how to do all of it. All right. Next from Jack Dorsey's company, the creator of Twitter. He also created Square and now

Twitter. He also created Square and now it's called Block. They have an open-source Slack alternative. This is

called Buzz and it's basically like Slack but made to be agent native, made to be AI first. And the nice thing is it is completely open- source coming in at

27,000 stars after like a week of being published. So, this is what it looks

published. So, this is what it looks like. If you're familiar with Slack,

like. If you're familiar with Slack, you'll probably be very familiar with this. But the thing is here is the key.

this. But the thing is here is the key.

Your agents are first class citizens in Buzz. So you have your team and you have

Buzz. So you have your team and you have your agents working in the same channels working on the same work and they are both users first class users of Buzz.

And I think that's kind of the distinctive feature of Buzz is it's very much agents are working with you with your human team. It is self-hostable

which is obviously quite nice. They are

very much privacy and security first, which obviously if you're wanting to host all of this stuff locally, you're probably thinking quite deeply about.

And it has all the features you're used to emojis replies threads channels all of the things you're used to. And

then also, you get the agents as first class citizens. It also deeply embeds

class citizens. It also deeply embeds workflows and automations directly into it. It is not really just a chat app. It

it. It is not really just a chat app. It

very much lets you build out automations directly into it. This is meant to be the central hub for your work. They

track everything being done in Buzz, which is really interesting. It's a

noster, which I've never heard of.

Nostaster relay. Every message,

reaction workflow step review approval, and get event is a signed event in one log. Same shape, same identity model, same audit trail, whether the author is a person or a

process. And when they say process, they

process. And when they say process, they mean agent, workflow, etc. It's all the same. I really like this structure. You

same. I really like this structure. You

can bring any model you want, open source, closed source, hosted, local, whatever you want. And because it is backed by a major company in block and

by Jack Dorsey, you know, they're going to continue to iterate on it and make it better over time. And it is a newish product, so go test it out, see if you

like it. Next is Ego Light, an open

like it. Next is Ego Light, an open source project that is self-described as the fastest browser to give to your agents. so your agents can control your

agents. so your agents can control your browser. This is Egoite. It has 10,000

browser. This is Egoite. It has 10,000 stars, so relatively under the radar right now. It describes itself as the

right now. It describes itself as the fastest browser for AI agents to run browser automation. Built for sharing

browser automation. Built for sharing your loggedin browser state with your AI agents like Codeex or Cloud Code without disturbing you. Zero cost, zero

disturbing you. Zero cost, zero configuration. Wonderful. So this is

configuration. Wonderful. So this is what it looks like. This is codeex. You

type / browser. So it gets invoked kind of like a skill. Let's actually see it run. So this is the ego browser right

run. So this is the ego browser right here and we can actually see it running. So

it has that nice blue glimmer. You can

actually see the arrow the cursor and there it goes. Super fast and especially if you're going to be using it with the new cerebrous powered soul, it's going

to be even faster. So very cool, free, open source. Go check it out. And the

open source. Go check it out. And the

last project is Modly. Coming in at just under 6,000 stars. It is image to 3D design. Local open- source AI powered

design. Local open- source AI powered image to 3D mesh generation. So whether

you're doing uh asset generation or you're into 3D printing like I am, you can basically just take any image, load it in, and it will create a 3D mesh that

you can then use for your 3D printing or your game or whatever other use you're using that asset for. It runs entirely locally, which is very, very nice. And

it's not really compute inensive either.

So, you can use this with your desktop GPU most likely. It has support for Windows, Linux, and Mac and many different GPUs. So, if you're into 3D

different GPUs. So, if you're into 3D modeling, go try this out. Seems very

cool. I made another video that covers a ton more. Go check it out right

ton more. Go check it out right