📦 shobhit99/claude-watch

claude-watch

Control your Claude Code terminal sessions right from your Apple Watch while walking away from your desk. This clever project sets up a local bridge server on your Mac that routes events from your active AI coding terminal directly to your wrist. Instead of staying glued to your monitor, you can watch the terminal run commands, edit files, and use tools in real-time. Most impressively, when the AI needs your permission to execute a script or write a file, you get an interactive prompt on your watch to approve or deny the action. Grab the code, hook up your watch, and keep your build moving.

🆔 @hackernewsgithubprojects

📦 nearcyan/vibecraft

Vibecraft

Vibecraft is the 3D visualization app that turns your local Claude Code terminal sessions into a lively, interactive workshop. Instead of staring at dry terminal lines, you watch an animated robot avatar run around a virtual hex grid in real time. When Claude reads a file, it walks over to a physical bookshelf; when it runs a search, it heads to a satellite antenna; and when it edits code, it tinkers at a workbench. With built-in spatial audio and the ability to spin up multiple parallel agent zones, this project makes watching your AI work feel like playing a classic real-time strategy game.

🆔 @hackernewsgithubprojects

📦 devops-interviews/devops-interview-questions

devops-interview-questions

Ace your next platform engineering loop by practicing with a curated collection of one hundred and fifteen real, hands-on challenges. This repository gathers actual technical screening tasks from heavy hitters like Google, Amazon, and Meta, covering everything from debugging broken Kubernetes pods to managing complex Git histories and AWS cloud architectures. Instead of dry trivia, you get practical scenarios complete with step-by-step video walkthroughs showing you exactly how to fix the systems. It is the ultimate hands-on cheat sheet for mastering real-world infrastructure problems. Grab this guide, practice the actual engineering scenarios, and walk into your next interview with complete confidence.

🆔 @hackernewsgithubprojects

📦 zerolu/awesome-nanobanana-pro

Awesome Nanobanana Pro

Generate hyper-realistic AI images using specialized prompt templates from a curated community collection. awesome-nanobanana-pro gathers the most effective text instructions and structured JSON formats specifically designed for the Nano Banana AI model. Instead of trial and error, you get precise formulas for complex challenges like rendering realistic skin textures under sunset lighting or recreating nostalgic retro camera styles. This library solves the problem of unpredictable AI art by providing proven blueprints gathered from top creators across social media. It is a fantastic guide for anyone wanting to master prompt engineering and see what this specific visual engine can truly do.

🆔 @hackernewsgithubprojects

📦 ndpvt-web/latex-document-skill

latex-document-skill

The open-source project latex-document-skill can instantly turn an eighty-page handwritten math notebook into polished, color-coded digital lecture notes complete with diagrams and equations without you writing a single line of code. Built as a universal assistant tool, it features an automated compilation engine that reads document structures to auto-detect compilers, fix common formatting bugs, and translate raw errors into plain English. It packs twenty-seven templates, auto-generation scripts for charts, a vision pipeline to reconstruct scanned documents, and tools to condense textbook chapters into dense cheat sheets. It makes professional publishing accessible to everyone.

🆔 @hackernewsgithubprojects

📦 bahattinkoc/ipaverse

ipaverse

Download and tweak iOS apps directly on your Mac without messing with terminal commands or bulky developer tools. ipaverse is a native desktop app that lets you search the App Store, grab installation files, and install them right onto your plugged-in iPhone. But the real magic is that it lets you re-sign DRM-free apps with your own certificate so you can sideload them easily. It even keeps a local archive of older app versions and lets you quickly swap App Store regions. It is basically a superpower for managing your own device. Go grab the app and take control of your iPhone.

🆔 @hackernewsgithubprojects

📦 aiming-lab/metaclaw

MetaClaw

MetaClaw is the local proxy that finally lets your personal AI agent learn and evolve directly from your daily conversations. Instead of relying on static models or expensive offline retraining, this clever tool sits between your agent and its brain, turning every single chat into a real-time learning signal. It automatically builds a customized library of skills based on your interactions, and if you turn on the learning features, it schedules smart model training updates to run in the background only when you are sleeping or in meetings. You get an agent that actually remembers your preferences and grows smarter over time, without needing a massive GPU cluster. Just talk...

🆔 @hackernewsgithubprojects

📦 axellwppr/motion_tracking

motion_tracking

Teaching a full-sized humanoid robot to mimic human movements while carrying heavy, unpredictable loads is an absolute nightmare for physics engines. That is where motion_tracking comes in, a clever framework designed to train humanoid robots to track whole-body motions. It uses a smart system that guides the robot using high-quality reference data while gradually introducing heavy payloads to build up its strength and balance. Instead of falling over, the robot learns to adapt to heavy weight on the fly. You can train the system, run evaluations, and export the final policies directly to run on real hardware. It is a brilliant way to make bipedal robots much more capable in...

🆔 @hackernewsgithubprojects

📦 avinash201199/free-ai-agents-resources

free-ai-agents-resources

You can master the design of autonomous digital assistants using entirely free and open-source materials. A community project called free-ai-agents-resources gathers over one hundred high-quality, zero-cost guides, structured courses, and code repositories in one place. Instead of paying for expensive bootcamps, you can follow curated learning paths that teach you how to build multi-agent systems and connect large language models to external tools. The collection includes hands-on Jupyter notebooks, step-by-step video tutorials, and official guides from top engineering blogs. It is the perfect starting point to transition from writing basic prompts to building self-directing software assistants.

🆔 @hackernewsgithubprojects

📦 roboparty/roboto_origin

Roboto Origin

Build your own fully functional humanoid robot right at home using off-the-shelf components. The roboto_origin project open-sources everything you need to construct a running and jumping robot, from the mechanical 3D files and circuit boards to the walking algorithms. Instead of relying on proprietary industrial parts, this design lets you source hardware online and assemble the entire machine yourself. It solves the massive entry barrier to advanced robotics by putting simulation, training, and deployment tools in one place. Anyone with a passion for building can now explore humanoid movement and bring a physical robot to life.

🆔 @hackernewsgithubprojects

📦 powerbeef/qwenvoice

Vocello

Generate realistic, custom voiceovers on-device with Vocello, a local, private text-to-speech studio built specifically for Apple Silicon. You can write a script and bring it to life using three intuitive workflows: choosing a built-in speaker, describing a voice in plain language, or cloning a reference clip. Running completely offline with a native Swift and MLX engine, it produces speech faster than real-time on your Mac, keeping your scripts and audio entirely private. It is the ultimate tool for high-quality, local voice synthesis without subscriptions. Download the app today to create stunning, private voiceovers on your Mac, with an iPhone version arriving soon.

🆔 @hackernewsgithubprojects

📦 sii-research/tau-0-wm

tau-0-wm

tau-0-wm is the AI framework that connects robotic movement directly with video-based world models to help arms handle complex physical tasks. Instead of relying on rigid, pre-programmed trajectories, this project links actions with video generation to predict what happens next, creating a smarter way for two-armed robots to manipulate real-world objects. You can take a standard training set, map out the arm positions and gripper states, and run a streamlined pipeline to teach a robot how to react dynamically. It bridges the gap between seeing and doing, giving developers a practical toolkit to build highly adaptable machines that truly understand the physical spaces they operate in.

🆔 @hackernewsgithubprojects

📦 homeassistant-ai/skills

Skills

Teach your AI coding agents to configure Home Assistant correctly without guessing or making up messy custom code. The skills repository is a collection of portable markdown knowledge packs built specifically to guide AI assistants through smart home setup. Instead of letting an AI generate fragile templates that fail silently, this tool equips your agent with direct, official best practices for choosing native helpers, structuring automations, and handling safe refactorings. It works directly with tools like Claude Code and Cursor. You simply install the package, and your AI assistant instantly knows how to design reliable smart home configurations.

🆔 @hackernewsgithubprojects

📦 evilsocket/nyx

Nyx

Nyx is the self-contained script that thoroughly scrubs digital footprints across Linux, macOS, and Windows. Instead of manually digging through obscure directories to clean up your system, this clever tool targets everything from shell histories and system logs to browser caches and application traces with a single command. The absolute coolest thing about it is how deeply it understands each platform, scrubbing deep-seated artifacts like Windows event logs, macOS unified logs, and Linux package manager histories. It is basically a digital leaf blower for your operating system, perfect for when you need a completely fresh, trace-free state without reinstalling everything from scratch.

🆔 @hackernewsgithubprojects

📦 nickustinov/itsyhome-macos

itsyhome-macos

You can now control your entire smart home directly from your Mac's menu bar without ever opening a bulky app. itsyhome-macos is a native menu bar application that bridges the gap between your Mac, Apple HomeKit, and Home Assistant. It puts your lights, thermostats, and security systems just a click away, but the coolest part is that it includes a built-in webhook server. This means you can trigger smart home scenes and toggle devices using simple terminal commands, keyboard shortcuts, or even your Stream Deck. It is the ultimate tool for turning your Mac into a powerful smart home command center.

🆔 @hackernewsgithubprojects

📦 huangchihhungleo/claude-real-video

Claude Real Video

Give your favorite AI model actual eyes to watch videos by running a clever script right on your own computer. Instead of blindly guessing or over-sampling a static screen every single second, claude-real-video detects real scene changes and uses a sliding pixel comparison to drop near-duplicate cuts. It packages these key visual frames with a synchronized text transcript, meaning you feed the AI fewer, highly meaningful images for much cheaper context costs. Just point it at a local file or web link, drop the output folder into Claude, and start asking questions about what actually happened on screen.

📰 https://news.ycombinator.com/item?id=48766005

🆔 @hackernewsgithubprojects

📦 thenetworkchuck/frigate-nvr-guide

frigate-nvr-guide

Your wireless home security cameras might actually be choking your Wi-Fi network to death, even if your internet bandwidth looks completely fine. The culprit is airtime saturation, where dozens of video streams constantly collide and force endless packet retries. The frigate-nvr-guide is a complete, hands-on blueprint for building a private, local AI surveillance system that solves this. It walks you through setting up Frigate NVR using a Raspberry Pi or an old desktop, configuring smart object detection that processes everything locally, and optimizing your network settings to prevent Wi-Fi meltdowns. Grab your hardware, follow the steps, and take back control of your home privacy today.

🆔 @hackernewsgithubprojects

📦 hkust-nlp/toolathlon

Toolathlon

Put your AI agents through a brutal, multi-day digital decathlon to see if they can actually survive real-world office chaos. While most AI benchmarks test models on simple, single-turn questions, this repository challenges agents with complex, long-horizon tasks across real software tools like Canvas, Slack, and email systems. It forces models to navigate messy, multi-step scenarios, like grading programming homework or organizing a university exam schedule without breaking. If you want to build AI that does actual, multi-day work instead of just answering trivia, this is the ultimate playground to test their limits. See how your agent stacks up today.

🆔 @hackernewsgithubprojects

📦 sanyuan0704/sanyuan-skills

sanyuan-skills

You can now transform your terminal-based AI agents into specialized powerhouses with a curated library of production-ready skills. The sanyuan-skills repository provides a collection of installable tools designed for command-line assistants like Claude Code. Instead of dealing with generic AI responses, these specialized skills add structured capabilities like rigorous code reviews, automated wiki building, and even an interactive reading coach that uses spaced repetition and Socratic testing. You can easily add these tools to your terminal workflow to instantly handle complex software audits, study technical books systematically, or build custom knowledge bases. It is the perfect way to make command-line AI agents genuinely practical.

🆔 @hackernewsgithubprojects

📦 k-dense-ai/science-superpowers

Science Superpowers

Science Superpowers is the agentic framework that finally brings real scientific discipline to your AI research assistants. Instead of letting your AI blindly run code and hunt for patterns in your data, this clever toolkit forces it to act like a rigorous scientist. The moment you ask a research question, the agent pauses to frame a falsifiable hypothesis and locks in its predictions before it ever looks at the data. By pre-registering these decision rules first, it completely prevents common statistical traps like p-hacking. It then executes the analysis in a clean, reproducible sandbox, rigorously investigates anomalies, and even unleashes a virtual red-team agent to shred its own conclusions before...

🆔 @hackernewsgithubprojects