Transcript
00:00:00Hundreds of new open source AI projects hit GitHub every single day,
00:00:04yet only the smallest fraction of a percent are actually worth your time.
00:00:08But today I'm going to be highlighting 10 that are almost every single tool we're
00:00:12going to cover today has just come out within the last month.
00:00:15So unless you are as obsessed with this stuff as I am,
00:00:18I promise you're going to get exposed to at least a few new tools.
00:00:22Now the first tool on the list is my favorite because it's one I use literally
00:00:25every single day at this point. And that is the caveman skill.
00:00:28This repo has gotten over 50,000 stars within its first month of release.
00:00:32And the whole idea is this just a skill that we can use inside of Claude code or
00:00:36codex that makes our agent talk like a caveman AKA it's not going to be
00:00:41so damn verbose.
00:00:43So you have some examples here where you have your normal Claude code response
00:00:46where it kind of just goes on and on and on. But if I use caveman, well,
00:00:50it's kind of just going to get to the point.
00:00:51This repo has taken the idea of why say many word when few do trick and just
00:00:56codified it. Now,
00:00:57the cool thing about caveman is that there's levels to it.
00:01:00Like we don't have to go full in the Neanderthal. We can do caveman light,
00:01:03which is what I sit at. We can also do full or we can do ultra. Now,
00:01:07I will say this repo gets a little excited when it comes about how much,
00:01:11how many tokens you're saving. You'll say like, Hey,
00:01:13we're saving like 75% of output tokens.
00:01:15Understand that the way caveman works is it's just going to be changing how many
00:01:20words you see. It doesn't change how it does its thinking.
00:01:22It doesn't change the amount of stuff it's ingesting. So overall,
00:01:26if we take it all together, you're looking at about a 5% or so savings,
00:01:30when it comes to tokens. And I've done a full video on this,
00:01:32and I'll link that above. If you want to do a deep dive. Now,
00:01:35I think the secret when, when it comes to caveman,
00:01:37and I think they kind of bury the lead here is the idea that our large language
00:01:41models might actually do better if they're forced to give more concise responses.
00:01:45And this comes from a March, 2026 paper. It's called brevity constraints,
00:01:49reverse performance hierarchies and language models.
00:01:52And basically the long and short of it is when we have powerful models and we
00:01:57force them to be concise,
00:01:58they're more likely to give us correct answers because they're essentially not
00:02:01going to talk their way into the wrong answer.
00:02:04And it's actually really interesting study.
00:02:06And I highly suggest you take a look at it.
00:02:07So we take those things together where we're going to be saving tokens and I'm
00:02:11potentially getting an actual quality increase.
00:02:13What's not to love about this thing. And it's just a simple skill installing.
00:02:17This is super easy. You can just run the commands here inside the repo,
00:02:20or you can just copy the repo URL, put it inside of Claude code and say, Hey,
00:02:24let's start running caveman. And if you want to do caveman light,
00:02:26just say caveman light. If you want to do ultra do ultra,
00:02:30it's very easy to execute.
00:02:31I'm always a huge fan of these lightweight tools that give us some wins on the
00:02:34margins without any real downside. So if you check out nothing else here,
00:02:38check out caveman. But before we move on to tool number two,
00:02:41a quick word from everybody's favorite sponsor me.
00:02:44So I recently came out with my Claude code masterclass and it is the number one
00:02:48way to go from zero to AI dev,
00:02:50especially if you don't come from a technical background.
00:02:53I update this every single week and we really focus on real life use cases and
00:02:58building upon the foundation of Claude code with things like an entire agentic OS
00:03:03system. So if that's something that you would be interested in,
00:03:06you can find it inside of chase AI.
00:03:08Plus there's a link to that in the pin comment. Now,
00:03:10tool number two is all about memory and knowledge graphs. And that is graphify.
00:03:15Now what graphify is able to do is it reads our files to build a knowledge graph.
00:03:19And because we now give Claude code a clear structure to understand what we're
00:03:23working with,
00:03:24we're able to execute our tasks while using way less tokens per query.
00:03:28They quote 71.5 times fewer tokens per query versus reading raw
00:03:33files. Now, when we talk about knowledge graphs and memory,
00:03:36a lot of us first start to think about things like obsidian, but obsidian,
00:03:40while this does give us a knowledge graph in theory,
00:03:43and that's what we're looking at now, this isn't a true knowledge graph in the
00:03:46sense of like a graph rag system, something like light rag or rag,
00:03:50everything graphify is much closer to that true rag structure than something like
00:03:55obsidian is remember obsidian for all intents and purposes is just a nice
00:03:59interface for us to be able to deal with Markdown files and Markdown files
00:04:03exclusively graphify is multimodal.
00:04:06Now it's not multimodal in the sense that it's going to be ingesting pure video,
00:04:09something like, you know, Google's embedding too,
00:04:12but it is able to look at things like PDFs screenshots, diagrams,
00:04:16and it's able to take videos and then use whisper to pull what it needs out of
00:04:20there. Furthermore, graphify doesn't use embedding.
00:04:23So when we're talking about sort of that spectrum between something like this
00:04:26obsidian and a true rag system, something like light rag,
00:04:29I would say graphify sits somewhere in the middle.
00:04:31And it's something that we can essentially layer obsidian on top of.
00:04:34So if you're someone who loves obsidian,
00:04:36wants a little extra power in terms of what's going on with your memory and your
00:04:40files under the hood, yet you don't want to take the step into some sort of true,
00:04:44rag system with embeddings and everything like that. Well,
00:04:47graphify might be perfect for you and definitely stay tuned for a deeper
00:04:52dive on this particular topic or on a video that might be coming out in the next
00:04:57few days. Now tool number three is when you probably haven't heard of before.
00:05:00It's Claude video just came out last week. We're at 400 stars.
00:05:03And what it does is it gives Claude the ability to watch video.
00:05:07Now what do I mean by that? Because we know Sonnet and Opus can't ingest video.
00:05:12Well, this tool has a pretty clever approach. Once it's given a video,
00:05:16it uses FFmpeg to extract the frames at a particular rate,
00:05:21depending on the length of the video.
00:05:22Obviously if it was 60 FPS and it's a 10 minute video that would cost an insane
00:05:27amount of tokens.
00:05:28So it gives it a default frame budget based on the duration of the video.
00:05:32So a 30 second video would be 30 frames. If it's 10 plus minutes,
00:05:36it would only be a hundred frames. So it gets kind of sparse,
00:05:38but it essentially feeds screenshots to Claude code.
00:05:42It grabs the audio via whisper and it uses those two things in combination to
00:05:47essentially watch videos. Now,
00:05:49I think this is a really useful tool because when it comes to handling videos,
00:05:53there's really only two other pathways right now when it comes to something like
00:05:56Claude code or codex and that's all right,
00:05:58let's just send it off to something like notebook LM and have it figure it out or
00:06:03kind of in that same category is let's invoke Gemini via an API call and just
00:06:08send it that way. This gives us sort of a, you know,
00:06:13different approach where we aren't beholden to Gemini to deal with these videos
00:06:17for us because we're breaking it down via screenshots.
00:06:19Obviously when we talk about longer videos, three minutes plus 10 minutes plus,
00:06:23you're going to run into issues.
00:06:24Just like what are you actually trying to do with these videos?
00:06:26But I think anything that gets us closer to having Claude could being able to
00:06:30handle video is a great tool for us to play with moving forward. Now,
00:06:34tool number four is when I did a video on recently, and that is open design,
00:06:37which is essentially an open source clone of Claude design.
00:06:42You can now use cloud design or something pretty close to it with any sort of
00:06:46coding agents. So you could do this completely locally for free.
00:06:50You don't even have to be on cloud code.
00:06:51They've copied the exact layout of cloud design in terms of being able to create
00:06:55prototypes, slide decks, and added some additional functionality,
00:06:58like also being able to call APIs for image creation and for video creation and
00:07:03open design itself is really built upon four other open source tools.
00:07:07The first one being who wash you design,
00:07:09which is basically another cloud of cloud design,
00:07:12but it's purely inside the terminal, the Guzheng PowerPoint skills.
00:07:17So allowing us to create these power points and then actually extract them
00:07:20properly as well as open code design and then multi-game.
00:07:24So it's taken all four of those added a package of 31 skills and voila,
00:07:28we essentially have local cloud design.
00:07:30So if you're someone who really likes cloud design,
00:07:32especially the graphical user interface portion of it,
00:07:36I highly suggest checking this out.
00:07:37If you've already hit your usage limits for the week. Now,
00:07:40if you're someone who cares about where your tokens are going and how much money
00:07:43you're throwing away every single month on these coding tools,
00:07:46then you are going to like tool number five, which is CodeBurn.
00:07:49CodeBurn tracks token usage costs and performance across 16 AI coding tools and
00:07:54allows us to get a much better look at where tokens AKA our money is going
00:07:59well beyond what, you know,
00:08:01forward slash usage is going to give you inside of cloud code.
00:08:04You can see in this dashboard, it breaks it down by activity, project, model,
00:08:09core tool, shell commands,
00:08:10MCP servers and shows us not only how many tokens we're using,
00:08:13but like the actual dollar amount, which is really important,
00:08:16especially if you're on the API. Now,
00:08:17more importantly than just telling us where our tokens are going and how we're
00:08:20losing money, it gives us ways to fix the problems.
00:08:23It tells us how to optimize our systems. So we stop burning so many tokens.
00:08:28So just like caveman,
00:08:29I think CodeBurn is one of those lightweight tools that is almost pure upside.
00:08:33So definitely take a look at this one. Tool number six is impeccable.
00:08:36Now impeccable came out a couple months ago,
00:08:39but they recently came out with their 3.0 version just last week,
00:08:43which is why I kind of wanted to include it because their updates to impeccable
00:08:46include the ability to actually edit front end designs in a browser.
00:08:51And if you didn't understand by now,
00:08:52impeccable is a tool for front end design impeccable ships with a single skill.
00:08:57Yet that single skill includes 23 different commands that are all about making
00:09:01sure your web pages don't suck.
00:09:03What I like about impeccable is it includes this website where I can actually see
00:09:06what each and every command does.
00:09:08So it shows a before and an after, and you can see, okay,
00:09:11like what will actually happen if I use this skill? Furthermore,
00:09:15it now has a live mode where you can actually bring up your webpage,
00:09:19click on different components and then go through different variations on the
00:09:23browser itself.
00:09:24I actually did a whole deep dive on this and I will link that video above if you
00:09:28want to see this in action.
00:09:29But I think the best part arguably might just be the website and the ability to
00:09:32see all these before and afters and just kind of give you inspiration for like,
00:09:36all right,
00:09:36here's what my AI slop looks like versus what it should look like and seeing the
00:09:41different ways you can make minor adjustments on individual components,
00:09:45but in totality that can really change the way your website looks and feels.
00:09:48And again, this live mode just got released.
00:09:50So if you've used impeccable in the past without it highly suggest you take a
00:09:54look at it again. So sticking with the front end design theme tool,
00:09:58number seven is design extract.
00:10:00Now a big repo that came out a little while ago and I've talked about in the past
00:10:04is awesome design dot MD.
00:10:06Now awesome design dot MD has taken off since it first came out about two months
00:10:11ago. It's up to 70,000 stars. And the idea is,
00:10:14is they give us this repository of all these popular websites, say for example,
00:10:1811 labs.
00:10:19I click on it and I can see essentially an entire breakdown of what their website
00:10:24looks like from an aesthetic point of view. You know, what are the cards,
00:10:27what are the colors, what's the spacing, what's the font, et cetera, et cetera.
00:10:30The problem with awesome design MD is I can only choose from these. I mean,
00:10:35there's a lot to choose from, but I'm limited as to what I can do.
00:10:38Design extract takes it a little bit further because it's essentially allowing us
00:10:43to get the same thing I showed you here inside of design MD,
00:10:47but for any website we want.
00:10:49So we point this design tool at any website we want to use as inspiration,
00:10:52as a foundation for what we are building.
00:10:54And it's going to grab the layout system responsiveness, interaction states,
00:10:57motion, language, component, anatomy, brand voice, on and on and on and on.
00:11:01So we have a comprehensive thing we can then bring into cloud code and build upon
00:11:06with our brand.
00:11:07And it does all this by using a headless browser to actually grab all this
00:11:10information.
00:11:11So it's a bit more than just taking a couple of screenshots and saying, Hey,
00:11:16copy this. So if you're someone who loves this awesome design repo,
00:11:19but wishes there were some more websites on here that you could essentially use.
00:11:23Well, definitely check out design extract.
00:11:26If you've ever thought about using Claude code to help you apply to jobs or get
00:11:30your resume in order, well, you will like this tool.
00:11:32And that is career ops because that's exactly what it does. As they state here,
00:11:36career ops turns any AI coding CLI into a full job search command
00:11:41center. It evaluates the offers of the jobs out there.
00:11:44It generates tailored PDFs. It scans portals of processes in batch,
00:11:48and essentially tracks everything related to the job search process,
00:11:52which is brutal. And importantly,
00:11:53this isn't a tool that's just like a mass application tool. This isn't like, Oh,
00:11:58go on LinkedIn. And now apply to every single job under the sun.
00:12:01Like this is much more of a scalpel.
00:12:02That's going to tune your resume to the job and make sure the jobs you're actually
00:12:07looking at makes sense for you. This isn't just like, all right,
00:12:09go out there and just like throw up all over the job application process under the
00:12:14hood. It's using playwright to actually navigate the pages.
00:12:17It evaluates the fit based on your CV and then adapts it per each listing.
00:12:21And here's how the general flow works. You paste in a job URL or description.
00:12:25It then classifies it and then figures out,
00:12:28are you a match before then generating a report, the PDF,
00:12:32and then updating the tracker. So definitely a useful tool.
00:12:34If you or anyone you know is trying to leverage something like cloud code to help
00:12:38them in their job search. Now tool number nine is one.
00:12:41I think you're going to hear a lot more about, and that is browser harness.
00:12:44So think of playwright if playwright was self-improving after every single run.
00:12:48So the way it kind of works is if I used browser harness to say,
00:12:52do something on Amazon,
00:12:54every time it went to complete a task on Amazon as this autonomous browser agent,
00:12:59it would update its own agent skill file saying, okay,
00:13:02this is what we did for Amazon. Here's what worked here. Didn't it?
00:13:05Almost in a sense, almost like a mini Ralph loop where we've given it a task.
00:13:09It's going to always update its files to see, Hey, did it work? Did it not work?
00:13:13What did we already try? And then try again,
00:13:15based on the information it wrote about itself and sort of the like self healing
00:13:20thing. So it's still pretty new. It's only been out for a couple of weeks.
00:13:23It's just under 10 K stars,
00:13:24but I think this sort of agentic approach to these browser agents is something
00:13:30you're going to see a lot more. Now I cheated on the last tool on the list,
00:13:33because it isn't technically open source.
00:13:35And even N8N itself isn't technically open source. It's fair use, but you know,
00:13:40you can use it locally. So it gets a little confusing. And that is the N8N MCP server.
00:13:44Now I think the death of N8N has been greatly exaggerated, but let's be honest.
00:13:48It isn't in the same place. It was even six months ago yet.
00:13:52They've begun to realize and pivot into being a tool that Claude code can
00:13:57use very, very easily, especially with this brand new MCP server.
00:14:01So this MCP server is a little different than any other N8N MCP server that has
00:14:05come out because there's been a few out there and they were open source.
00:14:09The difference is this one uses TypeScript instead of just trying to generate a
00:14:12JSON file automatically. So I give the N8N MCP,
00:14:16some sort of command like build me whatever automation it then builds it in
00:14:21TypeScript, which allows it to actually validate the automation to see, Hey,
00:14:25do these nodes make sense? Will this actually work from there as a last step,
00:14:30it gets changed to JSON and then it populates inside your instance.
00:14:33So if you're someone like me who still really likes N8N and there are use cases
00:14:38for it, although it can be kind of niche, this is an awesome tool.
00:14:40Just came out a few days ago and I did a full video on that as well.
00:14:43And I'll link that above.
00:14:44So those are my 10 favorite open source tools for Claude code that have come out
00:14:49within the last month or so. Like I said,
00:14:51this space is literally always changing. It is impossible to keep up.
00:14:55So I hope by watching this you were able to see at least a few of them that you
00:14:58might want to check out. As always, let me know what you thought.
00:15:01Make sure to check out chase AI plus if you want to get your hands on that
00:15:04masterclass. And besides that, I'll see you around.