Transcript: Top 10 NEW Open Source Claude Code Tools (May)

Source video ID: 6cYBFfA7Nyk

Transcript

• 0:00 — Hundreds of new open-source AI projects hit GitHub every single day. Yet, only the smallest fraction of a percent are actually worth your time. But today, I’m going to be highlighting 10 that are. Almost every single tool we’re going to cover today has just come out within the last month. So, unless you are as obsessed with this stuff as I am, I promise you’re going to get exposed to at least a few new tools. Now, the first tool on the list is my favorite because it’s one I use literally every single day at this point, and that is the Caveman Skill. This repo’s gotten over 50,000 stars within its first month of
• 0:31 — release. And the whole idea is this just a skill that we can use inside of Claude code or Codex that makes our agent talk like a caveman. AKA, it’s not going to be so damn verbose. So, you have some examples here where you have your normal Claude code response where it kind of just goes on and on and on. But if I use Caveman, well, it’s kind of just going to get to the point. This repo has taken the idea of why say many word when few do trick and just codified it. Now, the cool thing about Caveman is that there’s levels to it. Like, we don’t have to go
• 1:01 — full Neanderthal, we can do Caveman light, which is what I sit at. We can also do full, or we can do ultra. Now, I will say this repo gets a little excited when it comes about how much how many tokens you’re saving. You’ll say like, “Hey, we’re saving like 75% of output tokens.” Understand that the way Caveman works is it’s just going to be changing how many words you see. It doesn’t change how it does its thinking. It doesn’t change the amount of stuff it’s ingesting. So, overall, if we take it all together, you’re looking at about a 5% or so savings when it comes to
• 1:31 — tokens. And I’ve done a full video on this, and I’ll link that above if you want to do a deep dive. Now, I think the secret win when it comes to Caveman, and I think they kind of bury the lead here, is the idea that our large language models might actually do better if they’re forced to give more concise responses. And this comes from a March 2026 paper. It’s called Brevity Constraints Reverse Performance Hierarchies in Language Models. And basically, the long and short of it is, when we have powerful models and we force them to be concise, they’re more likely to give us correct answers because they’re essentially not going to
• 2:01 — talk their way into the wrong answer. And it’s actually really interesting study, and I highly suggest you take a look at it. So, we take those things together where we’re going to be saving tokens and I’m potentially getting an actual quality increase, what’s not to love about this thing? And it’s just a simple skill. Installing this is super easy. You can just run the commands here inside the repo, or you can just copy the repo URL, put it inside of Claude code, and say, “Hey, let’s start running Caveman.” And if you want to do Caveman light, just say Caveman light. If you want to do ultra, do ultra. It’s very easy to execute. I’m always a huge fan
• 2:32 — of these lightweight tools that give us some wins on the margins without any real downside. So, if you check out nothing else here, check out Caveman. But before we move on to tool number two, a quick word from everybody’s favorite sponsor, me. So, I recently came out with my Claude code masterclass, and it is the number one way to go from zero to AI dev, especially if you don’t come from a technical background. I update this every single week, and we really focus on real-life use cases and building upon the foundation of Claude code with things like an entire agentic OS system.
• 3:04 — So, if that’s something that you would be interested in, you can find it inside of Chase AI Plus. There’s a link to that in the pinned comment. Now, tool number two is all about memory and knowledge graphs, and that is Graphify. Now, what Graphify is able to do is it reads our files to build a knowledge graph. And because we now give Claude code a clear structure to understand what we’re working with, we’re able to execute our task while using way less tokens per query. They quote 71.5 times fewer tokens per query versus reading raw files. Now, when we talk
• 3:34 — about knowledge graphs and memory, a lot of us first start to think about things like Obsidian. But Obsidian, while this does give us a knowledge graph in theory, and that’s what we’re looking at now, this isn’t a true knowledge graph in the sense of like a graph rag system, something like Light rag or rag everything. Graphify is much closer to that true rag structure than something like Obsidian is. Remember, Obsidian, for all intents and purposes, is just a nice interface for us to be able to deal with markdown files, and markdown files exclusively. Graphify is multimodal.
• 4:06 — Now, it’s not multimodal in the sense that it’s going to be ingesting pure video, something like, you know, Google’s embedding two, but it is able to look at things like PDFs, screenshots, diagrams, and it’s able to take videos and then use Whisper to pull what it needs out of there. Furthermore, Graphify doesn’t use embedding. So, when we’re talking about sort of that spectrum between something like this, Obsidian, and a true rag system, something like Light rag, I would say Graphify sits somewhere in the middle. And it’s something that we can essentially layer Obsidian on top of. So, if you’re someone who loves
• 4:36 — Obsidian, wants a little extra power in terms of what’s going on with your memory and your files under the hood, yet you don’t want to take the step into some sort of true rag system with embeddings and everything like that, well, Graphify might be perfect for you, and definitely stay tuned for a deeper dive on this particular topic. For on a video that might be coming out in the next few days. Now, tool number three is one you probably haven’t heard of before. It’s Claude video. Just came out last week. We’re at 400 stars. And what it does is it gives Claude the ability
• 5:06 — to watch video. Now, what do I mean by that? Because we know Sonnet and Opus can’t ingest video. Well, this tool has a pretty clever approach. Once it’s given a video, it uses FFmpeg to extract the frames at a particular rate depending on the length of the video. Obviously, if it was 60 FPS, and it’s a 10-minute video, that would cost an insane amount of tokens. So, it gives it a default frame budget based on the duration of the video. So, a 30-second video would be 30 frames. If it’s 10-plus minutes, it would only be 100
• 5:37 — frames. So, it gets kind of sparse. But it essentially feeds screenshots to Claude code. It grabs the audio via Whisper, and it uses those two things in combination to essentially watch videos. Now, I think this is a really useful tool because when it comes to handling videos, there’s really only two other pathways right now when it comes to something like Claude code or Codex. And that’s, all right, let’s just send it off to something like Notebook LM and have it figure it out. Or, and kind of in that same category is, let’s invoke Gemini via an API call and just
• 6:10 — send it that way. This gives us sort of a, you know, different approach where we aren’t beholden to Gemini to deal with these videos for us because we’re breaking it down via screenshots. Obviously, when we talk about longer videos, 3 minutes plus, 10 minutes plus, you’re going to run into issues, just like, what are you actually trying to do with these videos? But I think anything that gets us closer to having Claude code being able to handle video is a great tool for us to play with moving forward. Now, tool number four is one I did a video on recently, and that is Open Design, which is essentially an open-source clone of Claude Design. You
• 6:42 — can now use Claude Design, or something pretty close to it, with any sort of coding agent. So, you could do this completely locally for free. You don’t even have to be on Claude code. It’s copied the exact layout of Claude Design in terms of being able to create prototypes, slide decks, and added some additional functionality, like also being able to call APIs for image creation and for video creation. And Open Design itself is really built upon four other open-source tools. The first one being Huashu Design, which is basically another clone of Claude
• 7:12 — Design, but it’s purely inside the terminal. The Guzheng PowerPoint skill, so allowing us to create these PowerPoints and then actually extract them properly. As well as Open Code Design and then Multika. So, it’s taken all four of those, added a package of 31 skills, and voila, we essentially have local Claude Design. So, if you’re someone who really likes Claude Design, especially the graphical user interface portion of it, I highly suggest checking this out if you’ve already hit your usage limits for the week. Now, if you’re someone who cares about where your tokens are going
• 7:42 — and how much money you’re throwing away every single month on these coding tools, then you are going to like tool number five, which is Codeburn. Codeburn tracks token usage, costs, and performance across 16 AI coding tools, and allows us to get a much better look at where our tokens, AKA our money, is going well beyond what, you know, {slash}usage is going to give you inside of Claude code. You can see in this dashboard, it breaks it down by activity, project, model, core tool, shell commands, MCP servers, and shows us not only how many
• 8:12 — tokens we’re using, but like the actual dollar amount, which is really important, especially if you’re on the API. Now, more importantly than just telling us where our tokens are going and how we’re losing money, it gives us ways to fix the problems. It tells us how to optimize our systems so we stop burning so many tokens. So, just like Caveman, I think Codeburn is one of those lightweight tools that is almost pure upside. So, definitely take a look at this one. Tool number six is Impeccable. Now, Impeccable came out a couple months ago, but they recently came out with their 3.0 version just
• 8:42 — last week, which is why I kind of wanted to include it because their updates to Impeccable include the ability to actually edit front-end designs in a browser. And if you didn’t understand by now, Impeccable is a tool for front-end design. Impeccable ships with a single skill, yet that single skill includes 23 different commands that are all about making sure your web pages don’t suck. What I like about Impeccable is it includes this website where I can actually see what each and every command does. So, it shows a before and an after. And you can see, okay, like, what
• 9:12 — will actually happen if I use this skill. Furthermore, it now has a live mode where you can actually bring up your webpage, click on different components, and then go through different variations on the browser itself. I actually did a whole deep dive on this, and I will link that video above if you want to see this in action. But I think the best part, arguably, might just be the website and the ability to see all these before and afters, and just kind of give you inspiration for like, all right, here’s what my AI slop looks like versus what it should look like, and seeing the different ways you can make minor
• 9:42 — adjustments on individual components, but in totality, that can really change the way your website looks and feels. And again, this live mode just got released. So, if you’ve used Impeccable in the past without it, highly suggest you take a look at it again. So, sticking with the front-end design theme, tool number seven is design extract. Now, a big repo that came out a little while ago that I’ve talked about in the past is awesomedesign.md. Now, awesomedesign.md has taken off since it first came out about 2 months ago. It’s up to 70,000 stars, and the
• 10:13 — idea is is they give us this repository of all these popular websites, say for example, 11 Labs. I click on it, and I can see essentially an entire breakdown of what their website looks like from an aesthetic point of view. You know, what are the cards? What are the colors? What’s the spacing? What’s the font? Etc., etc. The problem with awesome design MD is I can only choose from these. I mean, there’s a lot to choose from, but I’m limited as to what I can do. Design extract takes it a little bit further because it’s essentially allowing us to get the same thing I
• 10:44 — showed you here inside of design MD, but for any website we want. So, we point this design tool at any website we want to use as inspiration as a foundation for what we are building, and it’s going to grab the layout system, responsiveness, interaction states, motion language, component anatomy, brand voice, on and on and on and on. So, we have a comprehensive thing we can then bring into Claude code and build upon with our brand. And it does all this by using a headless browser to actually grab all this information. So, it’s a bit more than just taking a couple of screenshots and saying, “Hey,
• 11:16 — copy this.” So, if you’re someone who loves this awesome design repo, but wishes there were some more websites on here that you could essentially use, well, definitely check out design extract. If you’ve ever thought about using Claude code to help you apply to jobs or get your resume in order, well, you will like this tool, and that is Career Ops because that’s exactly what it does. As they state here, Career Ops turns any AI coding CLI into a full job search command center. It evaluates the offers of the jobs out there. It generates tailored PDFs. It scans portals. It
• 11:46 — processes in batch, and essentially tracks everything related to the job search process, which is brutal. And importantly, this isn’t a tool that’s just like a mass application tool. This isn’t like, “Oh, go on LinkedIn, and now apply to every single job under the sun.” Like, this is much more of a scalpel that’s going to tune your resume to the job and make sure the jobs you’re actually looking at make sense for you. This isn’t just like, “All right, go out there and just like throw up all over the job application process.” Under the hood, it’s using Playwright to actually navigate the pages. It evaluates the fit
• 12:18 — based on your CV, and then adapts it per each listing. And here’s how the general flow works. You paste in a job URL description. It then classifies it. It then figures out, “Are you a match?” before then generating a report, the PDF, and then updating the tracker. So, definitely a useful tool if you or anyone you know is trying to leverage something like Claude code to help them in their job search. Now, tool number nine is one I think you’re going to hear a lot more about, and that is Browser Harness. So, think of Playwright if Playwright was self-improving after every single run. So, the way it kind of
• 12:49 — works is if I used Browser Harness to say do something on Amazon, every time it went to complete a task on Amazon as this autonomous browser agent, it would update its own agent skill file saying, “Okay, this is what we did for Amazon. Here’s what worked, here didn’t.” And almost in a sense, almost like a mini Ralph loop where we’ve given it a task, it’s going to always update its files to see, “Hey, did it work? Did it not work? What did we already try?” and then try again based on the information it wrote about itself. Hence, sort of the like
• 13:19 — self-healing thing. So, it’s still pretty new. It’s only been out for a couple weeks. It’s just under 10K stars, but I think this sort of agentic approach to these browser agents is something you’re going to see a lot more. Now, I cheated on the last tool on the list because it isn’t technically open source, and even n8n itself isn’t technically open source. It’s fair use, but you know, you can use it locally, so it gets a little confusing, and that is the n8n MCP server. Now, I think the death of n8n has been greatly exaggerated, but let’s be honest, it isn’t in the same place it was even 6
• 13:51 — months ago. Yet, they’ve begun to realize and pivot into being a tool that Claude code can use very, very easily, especially with this brand new MCP server. So, this MCP server is a little different than any other n8n MCP server that has come out because there’s been a few out there, and they were open source. The difference is this one uses TypeScript instead of just trying to generate a JSON file automatically. So, I give the n8n MCP some sort of command like build me whatever automation, and then builds it in TypeScript, which allows it
• 14:23 — to actually validate the automation to see, “Hey, do these nodes make sense? Will this actually work?” From there, as a last step, it gets changed to JSON, and then it populates inside your instance. So, if you’re someone like me who still really likes n8n, and there are use cases for it, although it can be kind of niche, this is an awesome tool. It just came out a few days ago, and I did a full video on that as well, and I’ll link that above. So, those are my 10 favorite open source tools for Claude code that have come out within the last month or so. Like I said, this space is literally always changing. It is
• 14:53 — impossible to keep up. So, I hope that watching this, you were able to see at least a few of them that you might want to check out. As always, let me know what you thought. Make sure to check out Chase AI Plus if you want to get your hands on that masterclass. And besides that, I’ll see you around.