📦 ncsc-nl/php2shell

php2shell: The Critical PHP Vulnerability Tracker

php2shell is the operational playbook that tells you exactly which software is bleeding right now. This is the Netherlands Computer Security Center's live hub for two nasty PHP flaws that let attackers run code on your server without even logging in. It’s not just a news feed; it’s a massive, alphabetized inventory of every product, from Adobe Commerce to XAMPP, that might be holding that vulnerable code inside. If you run internet-facing sites, this repo is your checklist for finding and patching the gap before someone else finds it. Keep this list close, check your stack, and update now.

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📦 casperjuel/aula-mcp

Talk to Your Child's School System

Let your AI assistant read your kid's school schedule, grab messages, and check the weekly plan without any headless browser. This tool, called AULA MCP, plugs directly into the Danish school platform using secure authentication, so you can ask Claude or Cursor natural questions like what is on the calendar next week. It solves the annoying problem of having to log in manually every time, turning static school data into something your smart assistant can actually use. It is a fun experiment, but keep in mind that your chosen AI client handles the data, so choose your privacy settings wisely.

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📦 yannmasoch/nautilus-my-computer

Nautilus My Computer: The Missing Drive Panel for GNOME Files

Nautilus My Computer is the file manager extension that finally brings back the drive overview panel that vanished from modern desktops. When the standard file browser dropped its dedicated location for hard drives and network shares, it left users without a clear way to see storage capacity or manage removable media. This tool fills that gap by injecting a clean, native-looking sidebar directly into the file manager. It groups your system partitions, USB sticks, and network mounts into tidy sections, each with a visual bar showing exactly how much space is used. You can even pin favorite folders to the top for quick access.

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📦 jeffkeeping/dsh-purge-plus

dsh purge plus

Dsh Purge Plus is the red team plugin that finally lets you test your own DeepSeek Harness setup without breaking the host. It stops the app from rewriting your prompts or hiding its security checks so you can see exactly what is blocked and why. The fork updates the original tool for the latest build, fixes a startup crash, and adds a cleaner settings page. It is not an attack tool for websites; it is a local diagnostic for your own machine. If you run this software and want to know why your AI behaves differently, this is the simple fix that gives you the visibility you need.

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📦 vladocar/sumi.css

Sumi CSS Makes HTML Look Finished

Sumi CSS turns plain, semantic HTML into a finished, professional interface without requiring a single utility class or a build step. It ships as one tiny file with zero dependencies, automatically styling headings, forms, and cards just by recognizing the standard elements you already write. The standout feature is its zero-specificity approach, which lets your own simple CSS rules override the framework instantly without fighting browser precedence. This creates a lightweight, predictable foundation where you only add specific classes when you truly need a custom layout or component. It is a practical, minimalist choice for developers who want polished results quickly while keeping full control.

📰 https://news.ycombinator.com/item?id=50180039

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📦 neatlogs/neatroots

neatroots: Watch your AI agent work locally

Neatroots is the local dashboard that shows you exactly what your AI agent is doing in real time. It runs entirely on your laptop, capturing every step of your agent’s journey to catch errors and weird loops before they reach production. The coolest part is that it lets you replay a specific failed step to test fixes without rerunning the whole job. It also gives your coding assistant direct access to these logs so it can help you patch the code. It is the perfect local first tool for anyone building with AI who wants to see the invisible parts of the process.

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📦 microsoft/aescode

AesCode

AI models usually write clean web code or draw pretty pictures, but they rarely manage to do both at the same time. AesCode solves this by letting an AI draft custom websites and infographics as editable, perfectly accurate HTML and CSS code, while using an image generator behind the scenes purely for visual inspiration. Instead of blindly copying hallucinated text from a reference picture, the system checks exact data requirements programmatically while evaluating layout and style using graph-based visual rules. The end result gives you fully customizable, pin-sharp visual graphics that actually match your real data every single time.

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📦 shacklettbp/madrona

Madrona: The Game Engine for AI

Madrona runs thousands of virtual worlds on a single graphics card, churning out millions of simulation steps every second. This specialized engine solves a massive bottleneck in artificial intelligence training by letting researchers run complex game environments directly on the hardware powering the AI. Instead of waiting for a single computer to process one scenario, it batches thousands of them together to learn faster. It handles physics, rendering, and logic with a design built specifically for this high throughput. The result is a tool that bridges the gap between game development and machine learning research.

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📦 kuslota/inkboy

Play Game Boy on a 30 FPS E Ink Screen

InkBoy is the retro gaming firmware that brings classic Game Boy cartridges to life on a tiny e-paper display. It runs titles at roughly thirty frames per second, which is surprisingly fast for this type of slow screen. The trick is a custom driver that updates only the pixels that actually move, leaving the rest untouched to save power and prevent ghosting. This creates a crisp, low power experience with real speaker audio. If you want to run retro games on a portable e-paper board, this project shows exactly how to build it.

📰 https://news.ycombinator.com/item?id=50181383

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📦 bbbbchan/deltastreamer

DeltaStreamer: AI that watches video like a human

Watch live video and answer questions about it, even if the answer happened minutes ago. DeltaStreamer is an AI agent that watches a stream of video frames in real-time, just like you do. It doesn't just look at the current moment; it remembers what changed from the last frame, organizes that memory, and if a question pops up later, it can actually rewind and look back at the specific visual evidence it needs. This solves the problem of AI forgetting details from a moving video stream. It is the first framework to truly mimic how humans observe, remember, and investigate events over time.

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📦 omkark97/webos-vibehack

webos-vibehack: Apple TV Style Home for LG

Your LG television now displays a home screen that looks and feels exactly like an Apple TV. The project known as webos-vibehack replaces the standard interface with a clean grid of app tiles and a bottom dock. It works by using LG's official developer mode to install a custom launcher that pulls your app list from your computer. The most surprising part is how it handles the home button. Since LG blocks apps from taking over that key, a small background script on your computer watches the screen and instantly redirects you back to the new interface in a tenth of a second.

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📦 nineabyss/or-license

Can AI actually run a business?

Test an AI agent to see if it can do the work of an operations research practitioner without an expert reformulating the problem first. The project, called OR License, throws thirty-one real world business problems at artificial intelligence models and watches what happens. Usually, a human expert has to translate messy business details into clean math before a computer can solve them. Here, the AI gets a vague email from a simulated client. It has to ask questions, find the hidden rules, and write the optimization code itself. If it misses a constraint or guesses wrong, the system catches it immediately.

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📦 streameval/streameval

StreamEval: The First Test for Live Video AI

StreamEval is the first benchmark ever built to test AI systems that generate live, interactive video in real time. Instead of judging a finished clip, it feeds instructions to a model one by one while it is already running, measuring how well the system adapts to new requests without losing track of the scene. This matters because most current video tools create static files, but the future of virtual avatars and live worlds depends on software that can think and update on the fly. By standardizing this difficult test, researchers finally have a fair way to compare who is actually building usable live video technology.

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