Практика Shadowing: You NEED to try these 12 open-source AI projects RIGHT NOW - Изучайте разговорный английский по видео

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Over the weekend, I found some incredible open source AI projects that I wanted to share with you.
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Let me show you them right now.
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All right, the first one is called Open Montage and it turns your AI agent into a full video production team.
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This one has almost 15,000 stars.
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It describes itself as turning your AI coding assistant into a full video production studio.
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Describe what you want in plain language.
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Your agent handles research, scripting, asset generation, editing, and final composition.
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and here's an example.
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So this is a cinematic sci-fi trailer produced by Open Montage, created the concept, the script, the scene plan, used VO to generate the motion clips,
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the soundtrack was generated and re-motion handled the composition.
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You can also start from a video that you already love.
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You simply give it the clip that you want
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and it'll create a video very similar to that and of course you can change it any way you see fit.
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And it has a ton of features including 12 production pipelines, explainer videos, talking heads, screen demos,
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cinematic trailers, animation podcasts, localization, documentary montages, and more.
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400 different agent skills and so much more.
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I'm going to drop all the links for these down below.
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And by the way, if you like these videos where I curate the best AI open source projects, drop a like, subscribe to the channel.
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It very much does help.
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Thank you in advance.
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Next, we have a new agent harness coming out of ByteDance with possibly the weirdest name out of all of these projects.
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It is called Deerflow, and it has almost 74,000 stars.
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Deerflow stands for Deep Exploration and Efficient Research Flow.
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It is an open source super agent harness that orchestrates subagents, memory, and sandboxes to do almost anything powered by extensible skills.
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Deerflow is made for long horizon tasks.
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That means you give the agent something and it goes off for hours, maybe even days at a time.
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That is what this is especially good at.
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It uses sub agents to break down complex tasks.
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It has sandboxes.
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Of course, it has memory and tools and skill use, everything you need, everything that you're familiar with, with all of the best agent harnesses out there.
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But this one really leans into long horizon work.
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So they talk about users using Deerflow for building data pipelines, generating slide decks, spinning up dashboards, automating content workflows.
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So if you've tried OpenClaw, if you've tried Hermes, this might be another really cool option to experiment with.
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All right, and next, and what likely will have to change its name, we have Anthropic Cybersecurity Skills coming in right below 20,000 stars.
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This gives your agent everything it needs to be a cybersecurity expert.
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Then you can point it at your code base and say, improve my cybersecurity defenses.
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It works with Cloud Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI, basically anything.
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Any agent that supports skills, you can plug this in.
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So it comes with six different cyber frameworks.
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I have not actually heard of these.
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I'm not deep in the world of cyber, but we have the MITRE ATT&CK, NIST, and more.
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All of these different frameworks, a bunch of different tactics within them, a bunch of different techniques within them,
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just basically giving your agent a leg up and trying to protect your own apps that you're building.
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Now, what's interesting about it is they actually took real cyber frameworks.
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So, for example, this MITRE fight fraud framework co-developed by JPMorgan Chase, Citigroup, Lloyd's Banking Group, Standards Charter,
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CrowdStrike, Verizon Business, and so on.
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It basically puts together a framework for cybersecurity defense.
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And of course, because it's only a skill, you simply copy paste the URL, put it in your agent and say, install it.
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And it'll just work.
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Next, we have an open source project from the company HeyGen coming in at just above 30,000 stars.
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Hyper frames.
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Hyper frames is an open source framework for turning HTML, CSS, media, and seekable animations into deterministic MP4 videos.
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So basically it's going to write really cool animations for you in HTML, in CSS
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and then it's going to convert that to video format, MP4.
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This is really good for product demos, for slides, for motion graphics, and so much more.
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It supports rendering in Chrome with FFmpeg and works with many animation libraries, including one of my favorite, 3JS.
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So here's an example of what it looks like.
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It has no sound, so I'm going to do my own voiceover.
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Hey, I'm HyperframesGuy, and I'm going to tell you about Hyperframes.
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Here are some cool Hyperframes logos and cool transitions.
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Here's a prompt I'm writing.
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You can ask your agent anything.
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And there we go.
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And I know all of these open source research projects are awesome, but they need to be powered by AI and all of those subscriptions become very expensive.
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That's why I'm excited to tell you about the sponsor of today's video, Merlin AI.
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Merlin AI is an all-in-one AI tool and they are giving my audience, you guys, a massive discount.
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So stick around to the end of this read and I'll give you that code.
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So you probably keep multiple AI tools on deck at all times because you'll have one tool that's good at one thing, another tool that's better at another,
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and it can get expensive.
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Merlin AI puts all the top LLM models from ChatGPT to Claude to Gemini all in one place.
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So check this out.
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I click the Merlin AI extension.
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I chat with the webpage to summarize what I'm reading and I pull the important parts.
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And if I need to go deeper, I just flip the switch on deep research.
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And it also has the top video and image generation models ready.
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So let's say you're going to pay for everything separately.
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ChaiTQBT, 20 bucks.
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Claude, 20 bucks.
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Gemini, 20 bucks.
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And it adds up fast.
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Merlin AI is cheaper because they buy all of it via the API in bulk, and then they pass along those discounts to you.
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So essentially, with Merlin's discount, it is only five bucks.
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Okay, so here's the 75% off Merlin AI code.
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It is MAT5.
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Apply the code, and then the total drops to $60 per year.
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Basically, five bucks a month.
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So go try out Merlin AI.
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I'll drop all of this in the description below.
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Now, back to the video.
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All right, so this next one is super interesting and a little bit under the radar, coming in just above 12,000 stars.
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This is called Codebase Memory MCP by Deus Data.
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This is described as the fastest and most efficient code intelligence engine for AI coding agents.
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It full indexes an average repository in milliseconds, the full Linux kernel, 28 million lines of code in three minutes,
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and then you can answer structural queries in under one millisecond.
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This is meant to give your agent a better understanding of your code base, massive code bases, and to be hyper efficient.
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It supports 158 different coding languages.
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It uses 120 times fewer tokens.
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It works in 11 different agentic harnesses, including all your favorites, Cloud Code, Cursor, Codex, etc.
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It has a built-in 3D visualization so you can actually explore your code base
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and see how it looks in this 3D graph space.
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And it is one line to install.
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Very easy to use.
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Go check it out.
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All right, next coming in at 143,000 stars, one of the most popular repositories in all of GitHub,
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we have Matt Pocock's skills.
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These are skills to give your agent to allow them to develop software just like Matt Pocock does.
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And if you don't know who Matt Pocock is, this is Matt Pocock, author of Total TypeScript and AI Hero.
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He was previously at Vercel and he is a developer educator.
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He basically teaches you how to write great code.
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So he took everything he learned throughout his entire career, built it into skills so you can give it to your agent and you can code just like him.
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My agent skills that I use every day to do real engineering, not vibe coding.
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Here's some of the features that come with the skills.
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We have ask Matt, ask which skill or flow fits your situation or router over the user invoke skills in this repo.
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Grill with docs, grilling session that also builds your project's domain model, sharpening terminology and updating context.md and ADRs inline.
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This is for real engineers and obviously it's being used quite a bit because it has so many GitHub stars.
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Go check it out again, links down below to all of these projects.
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Next, we have the very popular GStack by Gary Tan,
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president of Y Combinator, coming in at 114,000 stars.
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GStack turns your engineering agent into a full engineering team.
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This is how Gary thinks about building things.
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And he basically codified all of the lessons he's learned throughout his career into G-Stack so you can easily use it, give it to your agent,
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and allow them, your agents, to build things the same way that Gary Tan does.
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He helps you not only with the building, but also the thinking through of different problems that you might want to solve.
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This is especially valuable if you're thinking about building a startup.
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You can do things like run slash office hours, which is something they do at Y Combinator.
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You sit with a YC partner and they ask you a bunch of questions
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and then give you feedback about the problem space, your solution, your team, everything.
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And again, he just codified all of it and put it into G-Stack.
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Installation is super simple.
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It is just a set of skills.
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And so you just copy paste the URL and your agent will know how to ingest it.
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So he describes G-Stack as a process, not a collection of tools.
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You are supposed to run these skills in order.
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Think, plan, build, review, test, ship, reflect, and you do so with all of these different schools.
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So we have slash office hours, slash plan CEO review, plan end review, plan design review, all the way through QA,
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pair agent, CSO, ship, land and deploy, canary, benchmark, document release, everything, it handles it all end to end for you.
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It is truly awesome.
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Next, we have an open source OpenWeights vision language model from Baidu.
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This one is brand new, coming in just under 3,000 stars.
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Released just a couple days ago, you download this OpenWeights model, and all of a sudden, you have lightning fast OCR at your fingertips.
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And if you're not familiar with what OCR is, it basically just means reading and analyzing documents.
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So here are a few examples of what you can do.
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On the left side, what you see is a research paper.
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And what this project and model are doing is actually highlighting a PDF.
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And if this doesn't sound impressive, let me tell you, this is actually a very hard problem.
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You not only have to fully understand what's on the page, but you have to understand where on the page it is and how to highlight it appropriately.
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And it is super fast, as you're seeing here.
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Go to Hugging Face to download the actual model.
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Click over here in Files.
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And the model is only about six and a half gigabytes in size.
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So very small.
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Awesome, awesome job.
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All right, next, an open source project out of NVIDIA.
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And I should have probably put this one at the top of the video, but this one scans skills before you install them to make sure they are secure and safe.
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This one is coming in under 10,000 stars.
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It describes itself as a security scanner for AI agent skills, detect vulnerabilities, malicious patterns, and security risks.
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And it's from NVIDIA, so you know, you can trust it.
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So it comes with multi-format input.
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You can scan, get repos, URLs, zip files, directories, or single files it looks for 65 vulnerability patterns across 16 categories,
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including prompt injection, data exfiltration, privilege escalation, supply chain, excessive agency, output handling, and more.
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Anytime you're about to install a skill, you should first use Skill Spectre to inspect it.
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All right, next, this one is really cool.
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It's called Palmier Pro.
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It's at 8,000 stars, and it is a full AI native video editor that you can download for macOS.
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Right now, it's only macOS.
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Hopefully, they release it for Windows and Linux later, but right now, you download it, and the best part is, again, it's open source.
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So, it has a full MCP server, built-in generative AI.
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It integrates with your existing agents, including Cloud, Codex, Cursor, via MCP,
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so you can control the downloaded video editor with your agent.
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So you can tell it exactly how you want it to edit your videos and it will control this video editor.
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It is beautiful.
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And the best part is it's absolutely free.
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And next, truly one of the most popular repos on all of GitHub, we have the Hermes agent coming in above.
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Congratulations to them.
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200,000 stars.
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And boy, it seems like everybody is using it now.
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It is a great alternative to OpenClaw.
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Nothing wrong with OpenClaw.
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This is just a very cool extra option that you can try out.
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It has all the features and functionality that you're familiar with if you've ever used OpenClaw.
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And it really leans into the self-healing, self-improving functionality.
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So as you're using Hermes Agent, if one of the skills fails, it will automatically fix itself and improve for the next run.
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It has a million features, so definitely go try this out.
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I would need a full video to review this in full.
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All right, next, we have VoiceBox coming in at 33,000 stars.
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This promises to be both 11 labs and WhisperFlow.
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So think about voice output, AI generated voice output, and also voice transcription.
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So voice input, put them together and you have both sides of voice and it's all open source and it's all free.
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You can even plug in local models and run it completely on your computer really well.
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Actually, they sound quite good.
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So clone any voice, generate speech, dictate into any app, talk to agents and voices you own the full voice IO stack running locally on your machine.
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Here's an example of what the interface looks like.
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Here you can type out what you want said.
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It's using Quine 1.7b and you can see it's generating right there.
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And it's a beautiful interface, very easy to use, very easy to edit your voice outputs.
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And it has a bunch of features.
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It is a very complete product.
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So it has near perfect voice cloning.
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Thank you to whatever model you're using.
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It has a stories editor so you can actually edit the audio like you would in any timeline editor.
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You have audio effects pipeline, local or remote.
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We have audio transcription and unlimited generation all coming to you within this product.
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And I actually made a video going over four incredible open source projects in depth.
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I actually show you how to install them, show you how to use them, check it out right here.

Почему стоит практиковать разговорный английский с этим видео?

Это видео представляет собой замечательную возможность для всех, кто хочет улучшить произношение английского языка. Благодаря разнообразным темам и лексике, вы сможете не только слушать, но и активно повторять информацию, что очень важно для достижения успеха в языковом обучении. Используя техники shadow speech (шадо спич), вы сможете улучшить свои навыки произношения и акцента, что значительно повысит вашу уверенность в общении на английском. Учить английский с YouTube становится все более популярным, поскольку видео-формат позволяет учиться в удобном темпе и атмосфере.

Грамматика и выражения в контексте

В видео используются несколько ключевых структур, которые можно взять на заметку:

  • Глагольные конструкции: Использование конструкций с глаголами, такими как "любой может" и "мы можем", помогает плавно вводить действия и функции агентов, как например: "это дает вашему агенту все необходимое".
  • Простое настоящее время: Обращение к фактам через простое настоящее делает информацию более доступной: "это остается эффективным".
  • Синтаксис вопросов: Формирование вопросов, например, "Что это может сделать?", помогает развивать диалог и интерактивность, что критически важно для практики разговорного английского.

Распространенные ловушки произношения

Некоторые слова и фразы представляют собой определенные трудности для произношения. Например:

  • Проектные названия: Слова такие как "Open Montage" и "Deerflow" могут быть трудны для произношения, особенно из-за нестандартной фонетической структуры.
  • Технические термины: Слова как "целеустремленный" и "агент" могут произноситься с различными акцентами в зависимости от региона, что может запутать.

Чтобы справиться с этими трудностями, рекомендуется использовать техники shadowspeaks, которые помогут вам улучшить уверенность в произношении и понимании языка. Используйте shadowspeaking site для дополнительных ресурсов и практики!

Что такое техника Shadowing?

Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.