10 NEW Github Repos Every Claude User Must Use
CChase AI
Computing/SoftwareVideo & Computer GamesInternet Technology
Transcript
00:00:00So this month, we have seen a ton of brand new,
00:00:02really cool open source repos hit the scene.
00:00:05And in today's video, I'm going to show you 10 of my favorite.
00:00:08And these range from skills you can add to your next cloud code project
00:00:11all the way to completely customizable AI agent harnesses.
00:00:16So whether you're someone who's really into this stuff
00:00:18or you're brand new, there's going to be something here for you.
00:00:22Now, first on the list is the DeepSeek harness.
00:00:25This thing has gotten over 200,000 stars in about two weeks,
00:00:28making it the fastest growing GitHub repo ever.
00:00:31Now, yes, are those numbers boosted by a very enthusiastic Chinese base?
00:00:36Sure, but there's something real here.
00:00:38And it's because this harness does things that the cloud code harness
00:00:41and the codex harness just don't do.
00:00:44And that is it allows you to customize the harness itself at a very base level.
00:00:50Now, what do I mean by that?
00:00:51Well, the DeepSeek harness mantra is everything is a plugin.
00:00:55So think of the harness as like the chassis of a car
00:00:58and we can put whatever we want in there for the engine.
00:01:00We can customize the chairs, the upholstery, everything to an extent.
00:01:05No one else really can.
00:01:06So first of all, I can run any model I want with this.
00:01:10Right now, you see the models are coming from Open Router.
00:01:12So literally pretty much every model out there can be used.
00:01:15But the big thing is when it comes to plugins,
00:01:17I can turn and essentially create my own custom plugins
00:01:21that change how the harness works at a very fundamental level.
00:01:24Like I can change how it does tool calling.
00:01:27I can change how it does agent loops.
00:01:29I can change other things that are rather trivial.
00:01:31Like I could change the UI and how it actually looks and the colors.
00:01:34Again, things that the cloud code harness just doesn't let you do.
00:01:37Now, you can approximate those changes in cloud code and codex
00:01:39using things like hooks and even certain skills,
00:01:41but you aren't changing the fundamental plumbing.
00:01:44So if you're someone who's really into the open source game,
00:01:46you're really into tinkering and customizability,
00:01:48DeepSeek Harness is something you should try out.
00:01:50There is a exploding library of different plugins
00:01:54for DeepSeek Harness that change how it works
00:01:56that you can find on GitHub as well.
00:01:58Now, number two on the list is Umachi.
00:02:00And this is something that has started to get a ton of hype
00:02:02over the last couple of days.
00:02:03So Umachi is a custom Linux distribution,
00:02:05which pretty much combines Arch with AI agents.
00:02:08AI agents become a fundamental part of the actual operating system.
00:02:12A simple example of that is,
00:02:13let's say you have some sort of error with your OS itself.
00:02:16Well, it automatically gets sent to your AI agent of choice.
00:02:19You can choose whichever one you want,
00:02:20essentially running in the background.
00:02:22That could be codex, that could be cloud code, it could be Gemini.
00:02:24But the point is, it is a fundamental foundational part
00:02:28of this operating system with the Linux package.
00:02:32Now, installing and using this
00:02:33is definitely a step above everything else we're going to talk about here.
00:02:36So if you aren't familiar with Linux, this might be a bridge too far.
00:02:39But if you're someone who does love Linux and does love AI,
00:02:43I think you should definitely check this out.
00:02:45Now, before we hop into the next repo,
00:02:46a quick word from today's sponsor, me.
00:02:48So I just released the brand new updated
00:02:51Cloud Code Masterclass inside of Chase AI Plus.
00:02:54And it is the number one way to go from zero to AI dev,
00:02:57especially if you don't come from a technical background.
00:03:00We focus on real use cases.
00:03:01I assume you know nothing going into this.
00:03:04So if you're someone who wants to learn how to master
00:03:06the most powerful AI tool out there, this is for you.
00:03:10You can find a link to it inside of the pinned comment.
00:03:13Now, third on the list is AnyDoc.
00:03:15And this comes from Firecrawl, the web scrapers.
00:03:18And what this is, is it is a Rust library
00:03:21that converts documents into Markdown.
00:03:24So we all know that AI loves Markdown,
00:03:27and yet tons of us work with your traditional
00:03:29Microsoft Office type documents.
00:03:31Think Word, PowerPoint, Excel, et cetera.
00:03:33Well, there's a lot of programs out there
00:03:34that allow you to take something that's Word or PowerPoint
00:03:37and turn it into Markdown,
00:03:38but they are either inaccurate or slow.
00:03:41And AnyDoc kind of solves both of these problems.
00:03:45If we take a look at the benchmarks here,
00:03:48and again, this is coming from Firecrawl themselves,
00:03:50so take it with a grain of salt.
00:03:51But by the numbers that they're showing us,
00:03:54and they are showing it against some of the big ones
00:03:56like LibreOffice and things like that,
00:03:58it not only crushes all the formats,
00:04:00so it did 14 out of 14 formats versus the others,
00:04:03it does it incredibly fast.
00:04:05The median speed was 4.4 milliseconds.
00:04:09Next up was Mammoth, which did it at 52.5.
00:04:12It only did one out of 14 formats.
00:04:15And on the other side,
00:04:17Office, which did 12 out of 14 formats,
00:04:19took 1100 milliseconds.
00:04:22So, you know, it's faster than everyone.
00:04:25It does more formats.
00:04:27And in terms of the score,
00:04:28it also scored better as well.
00:04:30And the way they did the score
00:04:31was they had like a third-party AI judge
00:04:33take a look at it and say,
00:04:34well, here's how complete it was.
00:04:35Here's the structure, et cetera.
00:04:37Now, again, that's not to say
00:04:37every single conversion is going to be perfect,
00:04:40but if you're someone who has thousands
00:04:42or tens of thousands of documents
00:04:44in these old formats,
00:04:46PowerPoint, Word, whatever,
00:04:47and you want to bring it into Markdown,
00:04:48you want AI to be able to better handle it,
00:04:50this is perfect for you.
00:04:52Now, number four on the list is Herder.
00:04:54I love Herder.
00:04:55I use this every single day
00:04:56and is essentially an upgraded UI
00:04:58for your terminal with a few extra features.
00:05:01So when I use Herder,
00:05:03I have my standard terminal
00:05:04like you see right here.
00:05:06And then on the left,
00:05:07I have some more insights
00:05:09to my agents that are already running
00:05:11and different sort of workspaces.
00:05:13Essentially, it allows me
00:05:14to better multitask
00:05:16when I'm using multiple agents
00:05:18on multiple projects
00:05:19all at the same time.
00:05:20So if I, you know,
00:05:22spin up an agent here,
00:05:24you see I have agent number one,
00:05:26agent number two.
00:05:27You see I have this workspace,
00:05:28which is my main workspace.
00:05:29I can add a new workspace.
00:05:30Almost think of it
00:05:31as like different sort of folders
00:05:33or different projects I'm working on.
00:05:35Okay, I started up that agent.
00:05:36I can see I have workspace one and two,
00:05:38the different ages,
00:05:39on and on and on.
00:05:40On top of that,
00:05:41it makes it really easy
00:05:42to sort of, you know,
00:05:43split panels, right?
00:05:45I can now have multiple agents
00:05:46in one place.
00:05:47And the really cool thing with this
00:05:49is it is sort of saving your work
00:05:51in a sense.
00:05:53So if I exit out of this,
00:05:55I completely exit all those tabs
00:05:57and then I pull it back up,
00:05:59it's still going to be there.
00:06:03So I run Herder again.
00:06:05Boom.
00:06:06There is all our stuff.
00:06:08So it's just a really lightweight,
00:06:10simple addition that is great
00:06:12if you're someone who uses the terminal
00:06:13and uses multiple agents.
00:06:16Next up, we have Orca
00:06:17sitting at 56,000 stars.
00:06:19Now, if Herder was for those of you
00:06:21who are really into the terminal,
00:06:22then Orca is sort of the equivalent
00:06:24for those of you who are more into VS Code
00:06:27and those sorts of heavier IDEs.
00:06:29That's because Orca pretty much is VS Code
00:06:30if it was made specifically for AI agents.
00:06:33Some of the standout features
00:06:34include stuff like a mobile companion,
00:06:35so really easy to do remote work.
00:06:37It has a built-in design mode.
00:06:39We're starting to see design modes
00:06:40in a lot of the desktop applications
00:06:43of stuff like Claude Code and Codex,
00:06:45but if you're someone
00:06:46who doesn't want to use a desktop app
00:06:47but still wants a design mode,
00:06:48this is perfect for that.
00:06:49And it also has its own CLI,
00:06:51so you can have AI agents
00:06:52actually control Orca, the IDE itself,
00:06:56instead of just the other way around.
00:06:57It works on macOS, Windows, and Linux.
00:06:59So if you're someone
00:07:00who likes the idea of Herder,
00:07:01but you don't like being purely
00:07:03inside of the terminal,
00:07:04I would go to Orca.
00:07:05Now, number six on the list
00:07:06is Claudex Loop,
00:07:07and this is a skill
00:07:08for Claude Code and Codex.
00:07:10I created this skill myself.
00:07:12I've done deep dives
00:07:13on this skill as well,
00:07:14but the whole point of it is,
00:07:16well, the idea is AI systems
00:07:18do a very bad job
00:07:19of grading their own work.
00:07:20You ask Codex
00:07:21how good Codex work was,
00:07:22it's going to say it was great.
00:07:23You ask Claude
00:07:24how good Claude's work was,
00:07:25it's going to say it did awesome.
00:07:27So how do we solve this?
00:07:28Well, we bring in an outside AI system
00:07:30to grade the work
00:07:31of the first system.
00:07:33So when Claude creates something
00:07:35or generates a plan,
00:07:37this skill brings in Codex
00:07:38and Codex says,
00:07:39this is right, this is wrong,
00:07:40this is what we should change.
00:07:42And in fact,
00:07:42this skill essentially gives you
00:07:45an entire four-phase
00:07:47step-by-step process
00:07:48for creating any project
00:07:49or any feature.
00:07:51Starts with reconnaissance,
00:07:52so it goes out on the web,
00:07:53does an actual web search
00:07:54to figure out what it should do.
00:07:56Then it's going to ask you
00:07:57a series of questions,
00:07:58think of it as an enhanced plan mode
00:08:00before Claude creates a plan
00:08:02and then Codex and Claude
00:08:04go back and forth adversarially
00:08:05for multiple rounds
00:08:06until they reach a conclusion.
00:08:08Finally,
00:08:09one of those systems builds it.
00:08:10It can be either Codex or Claude
00:08:11and at the end of the build,
00:08:13the second system comes in
00:08:14and says,
00:08:15okay, here's what I think,
00:08:16here's what I don't think
00:08:17in terms of what's right
00:08:18and what's wrong.
00:08:19So the point is
00:08:20you get a second set of eyes,
00:08:22the entire process
00:08:23and in the end,
00:08:24that gives you a better output
00:08:26for less tokens
00:08:27because we aren't stuck
00:08:28into the scenario
00:08:29where Claude builds something,
00:08:30it looks like it works,
00:08:31it breaks,
00:08:31we go back,
00:08:32we iterate,
00:08:33like we just solve it
00:08:34all on the front end.
00:08:35So if you're someone
00:08:36who uses Claude code
00:08:37and Codex
00:08:37and you want a simple way
00:08:39to combine the powers of both,
00:08:41definitely check this one out.
00:08:42Now next up,
00:08:42we have Open Montage
00:08:44sitting at just under 54,000 stars
00:08:46and this is the perfect repo
00:08:47if you're someone
00:08:48who's trying to get into
00:08:49AI video production
00:08:51because it's essentially
00:08:52a giant video production studio
00:08:54in a box.
00:08:56Now this repo walks you
00:08:57through everything
00:08:58and there's a lot of human
00:08:59in the loop involved
00:09:00so it isn't as simple
00:09:00as you just giving it a prompt
00:09:01and it executes everything.
00:09:03You have say so
00:09:04as things happen
00:09:05so you can actually have
00:09:06some sort of creative control.
00:09:07So it will do research for you,
00:09:08it will do the scripting,
00:09:10it will do the prompts
00:09:11but you're going to have
00:09:12to provide it some other things
00:09:13like API keys
00:09:14if you want to get the most
00:09:15out of this
00:09:15because if you want
00:09:16good looking AI video,
00:09:17you do need to use
00:09:18the top models
00:09:19things like Seed Dance 2.5
00:09:21you can't necessarily rely
00:09:22on very cheap
00:09:23or local video models
00:09:24unless you have
00:09:25a very good computer
00:09:26but if you don't want
00:09:27to pay a cent
00:09:28there is still stuff
00:09:28you can do with this
00:09:29because you can use
00:09:30some of the graphics
00:09:31that something like
00:09:31Claude Code can create
00:09:32using stuff like
00:09:33Remotion or Hyper Frames
00:09:35so if you're looking
00:09:36more for like computer
00:09:37generated type videos
00:09:39this will also be
00:09:40perfect for you.
00:09:41Additionally,
00:09:41it's set up
00:09:42for specific video pipelines
00:09:43so if you want
00:09:44something like
00:09:45an animated explainer
00:09:46versus animation
00:09:47versus a clip factory
00:09:48versus something
00:09:49like a screen demo
00:09:49or a talking head
00:09:50it essentially
00:09:51has different skills
00:09:51for each of these
00:09:52so if you want
00:09:53to get into AI video
00:09:54and you're looking
00:09:55for an all-in-one AI tool
00:09:56to help you achieve that
00:09:57definitely try out
00:09:58Open Montage.
00:09:59Next on the list
00:10:00we have OmniRoute
00:10:01sitting at 58,000 stars
00:10:03and this thing
00:10:03is an AI gateway
00:10:05and it can actually
00:10:06be used completely
00:10:07for free.
00:10:08It gives you
00:10:09essentially a one-stop shop
00:10:11for over 350 AI providers
00:10:1390 plus which are free
00:10:15and the cool thing is
00:10:17is you can set this up
00:10:18to only use free providers
00:10:19and it will just cycle
00:10:21through all the free providers
00:10:23for you automatically
00:10:24so you never get like
00:10:25stuck with one task
00:10:27and you used up
00:10:28all your free tokens
00:10:28with that provider
00:10:29and then you need
00:10:30to stop and switch.
00:10:30No, it does it all for you
00:10:31so you can just cycle
00:10:33through provider
00:10:34after provider
00:10:34after provider
00:10:35and literally
00:10:36just get free AI.
00:10:37Now, obviously
00:10:39if it's a free AI provider
00:10:40are we necessarily
00:10:41using the frontier models?
00:10:42No, but we can set up
00:10:44this thing so it does
00:10:45use the frontier models.
00:10:46I can hook this up
00:10:47to things like Claude Code
00:10:48or I can use Codex
00:10:49and I can set up priorities
00:10:51and I can tell it
00:10:52hey, when I want it
00:10:53to switch from one model
00:10:54to the other
00:10:54so it's turning
00:10:55your computer
00:10:56into a gateway
00:10:57for hundreds of AI models
00:10:59and you can be
00:11:00as sophisticated
00:11:00with the setup
00:11:01as you want
00:11:01or you can keep it
00:11:02as simple
00:11:03as you want it set up
00:11:04and again
00:11:05it could be completely free
00:11:06if that's what you want to do
00:11:07and so like I alluded to earlier
00:11:09it will automatically cycle
00:11:10you through providers.
00:11:11a term that they use here
00:11:12is combos
00:11:13and a combo
00:11:14is a chain of models
00:11:15on the route
00:11:16routes across automatically.
00:11:18If something fails
00:11:19if a quarter runs out
00:11:20it will go to the next
00:11:21healthy model
00:11:22you don't have to touch anything
00:11:23and you can set up
00:11:24your own routing strategies
00:11:25there's essentially
00:11:2619 pre-built strategies
00:11:28so this is a really cool tool
00:11:30which with as much sophistication
00:11:32as you want it to have
00:11:33so if you're someone
00:11:34who uses
00:11:35again a ton of different
00:11:36AI models
00:11:36or you're someone
00:11:37who's looking to
00:11:38essentially token max
00:11:39with free models
00:11:40you should try this out.
00:11:41The number nine
00:11:42on the list
00:11:42we have Archify
00:11:4330,000 stars
00:11:44at one point
00:11:45was the number one
00:11:45repo of the day
00:11:47and the sell for Archify
00:11:48is it takes your code base
00:11:50or any sort of system description
00:11:51and turns it into
00:11:53an artifact
00:11:54a live shareable map
00:11:56breaking down
00:11:57how your code base works
00:11:58so you can take
00:11:59a relatively complicated code base
00:12:00and you can kind of turn it
00:12:02almost into an Excalibur
00:12:03type diagram
00:12:04and you can share this
00:12:05with people
00:12:06and you can make visual
00:12:07what can be somewhat difficult
00:12:09to understand code
00:12:10especially if AI
00:12:11wrote everything for you
00:12:12and this just isn't
00:12:13a completely static thing
00:12:14that's just taking
00:12:15snapshots of your repo
00:12:16you can create motion sequences
00:12:18that explain
00:12:19different interactions
00:12:20or different changes
00:12:21you've made
00:12:21you can have it show
00:12:22how data actually flows
00:12:23so you can get as complicated
00:12:24with this as you want
00:12:26so this is a great repo
00:12:27if you're someone who
00:12:27A. is working with
00:12:28complicated code bases
00:12:29and B. oftentimes
00:12:31has to make some sort of
00:12:32visual explainer
00:12:33two people
00:12:33who maybe aren't
00:12:34as spun up
00:12:35with how that actually works
00:12:37because turning it
00:12:38into a visual product
00:12:39like this
00:12:39oftentimes makes that
00:12:40way easier
00:12:41and last but not least
00:12:42we have Claude of Tanks
00:12:44now no one's talked
00:12:45about this game
00:12:45it only has like 200 stars
00:12:47but this is a sick project
00:12:48this guy essentially
00:12:49recreated World of Tanks
00:12:51in 3.js
00:12:52using just Claude code
00:12:54and it is wild
00:12:56how cool the graphics
00:12:57are on this
00:12:58how amazing
00:12:59the physics are
00:13:00and the customization
00:13:01of all of it
00:13:02it has an in-depth
00:13:03combat system
00:13:04it has a HUD
00:13:04it has an x-ray
00:13:05kill cam
00:13:06it has destructions
00:13:07again the physics
00:13:08are well beyond
00:13:09what you would expect
00:13:10from your typical
00:13:11like Claude build video game
00:13:13it has multiplayer
00:13:14with local LAN
00:13:15or browser hosting
00:13:16and I think this is cool
00:13:17because it is a perfect example
00:13:19if you're someone
00:13:20who wants to create
00:13:21like video game type projects
00:13:22how to do this
00:13:23using Claude code
00:13:24like it has a bunch
00:13:26of different maps
00:13:26you can choose from
00:13:28I can choose
00:13:28all these different tanks
00:13:29I can adjust
00:13:30the camouflage
00:13:31you can see
00:13:32all the settings
00:13:33on the right hand side
00:13:34there's modules
00:13:34for guns
00:13:35the engine
00:13:35the fuel tank
00:13:36the radio
00:13:36like this is wild
00:13:38so shout out
00:13:39to Kevin Liu
00:13:40for creating this
00:13:41and definitely
00:13:41give it a spin
00:13:42so that's where
00:13:43I'm going to end this video
00:13:43I hope at least
00:13:44a couple of these
00:13:45open source repos
00:13:46were something
00:13:47you haven't seen before
00:13:48and can integrate
00:13:48into your stack
00:13:49and as always
00:13:50make sure to let me know
00:13:51what you thought
00:13:52definitely check out
00:13:53Chase AI Plus
00:13:54if you want to get your hands on my Cloud Code Masterclass
00:13:56and I'll see you around.