📦 open-rua/uni-robot-agent

uni robot agent

Give a language model the ability to physically manipulate objects in a simulated world using one simple package. uni robot agent connects open source coding assistants to realistic robot simulators, letting you run complex manipulation tasks like stacking bowls without building custom infrastructure. The standout feature is a local dashboard that streams live camera feeds and tool calls, allowing you to watch the agent think and act in real time or replay saved episodes to debug its decisions. This open source harness simplifies testing how AI agents interact with physical environments by handling setup, monitoring, and execution in a single workflow, making it easy to experiment with robot control strategies.

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📦 homelessbrian/nuvioplusiptv

Nuvio Plus IPTV: The Ultimate Android TV Streaming Hub

Play any show, live channel, or movie straight from your Android TV without the usual subscription headaches. Nuvio Plus IPTV is a massive, open-source media hub that connects your device to every streaming source you can think of. It pulls in live TV feeds, debrid services, and even torrents, then plays it all in one sleek interface. The coolest part? It includes a native Dolby Vision bridge. That means you get true high dynamic range colors and deep blacks directly on your screen without needing a separate app. It is basically the Swiss Army knife for home theater fans who want control.

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📦 xlyu0106/cua-master

CUA-Master: The Self-Improving Computer Agent

CUA-Master is a pipeline that turns random internet videos into a self-improving AI brain for computer tasks. It grabs instructional clips, breaks them into tiny, reusable actions, and uses those to generate new training scenarios automatically. The real trick is the recursive loop: the agent practices on these generated tasks in a sandbox, and every success feeds back into the model to make it smarter. It’s like an AI that builds its own boot camp from YouTube tutorials to get better at using your computer. If you want to see how agents scale beyond static datasets, this is the blueprint.

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📦 ruc-nlpir/coworkos

CoworkOS: The AI Coworker for Long-Horizon Tasks

Run a complex, multi-day project with an AI partner that actually finishes the job. CoworkOS is an open-source harness that lets human and AI agents work together on long-running tasks, from code to scientific research. It’s not just a chatbot; it’s a runtime that breaks down big goals into manageable subtasks, keeps track of progress across sessions, and lets you step in to review or revise the work as it evolves. This is fascinating because it moves beyond simple prompts into sustained, collaborative execution, handling everything from drafting documents to running simulations. You get a clear view of the agent’s reasoning and a shared workspace to refine the final output.

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📦 armanckeser/github-stars-organizer

GitHub Stars Organizer: The Health Score Tool

GitHub Stars Organizer is the personal dashboard that instantly tells you which of your saved repositories are actually dead. Instead of letting your bookmarks rot, it scans every project you have starred and assigns a health score based on recent activity, so you immediately see which tools are abandoned and which are still alive. You can organize these projects into lists that sync directly back to your GitHub account, adding tags and notes to keep your knowledge base tidy. It even suggests active alternatives for the projects you have stopped using.

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📦 dyotson/forzahorizon1-reimagined

Forza Horizon 1: Reimagined

Forza Horizon One Reimagined is the open-source project that brings the original Xbox console game natively to modern personal computers. It solves the problem of obsolete console infrastructure by recompiling the original code to run directly on current hardware without emulation. The most surprising part is how it revives the shared online world. Because the original online service is gone, this project builds its own server so players can drive together in one persistent map. It supports high frame rates and lets you race against friends in real time. This is a powerful reminder that dedicated fans can rebuild classic experiences for the modern era.

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📦 yail259/frankensurf

Frankensurf: The Web Reader That Never Fails

Frankensurf is the web reading tool that finally gets your AI agent through any site without getting blocked. It solves the frustrating problem of bots getting stuck on login walls or CAPTCHAs by stitching together twenty-eight different browsing methods into a single, smart command. The fascinating part is how it works: it starts with the fastest, cheapest method and only moves to stronger, heavier tools if a site pushes back. So if a simple fetch gets blocked, it quietly switches to a stealthy browser to get the real page. This ensures you always get clean, accurate data with a full receipt of exactly how it got there.

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📦 blackbearreloaded/prosperoai

Running AI on a PS5?

A PlayStation Five can now run large language models entirely offline, right on the game console's graphics chip. This homebrew app, called Prospero AI, lets you chat with text models, generate images, and even synthesize audio without touching the cloud. It runs locally on modified consoles, meaning your prompts never leave your device. For developers, this is a fascinating look at pushing generative AI onto dedicated hardware usually reserved for gaming. It proves that powerful inference doesn't always require a server rack. If you are into local LLMs, this is a wild experiment worth watching closely.

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📦 revenuecat/play-billing-skills

Play Billing Skills

Your AI coding agent can now handle the messiest parts of Android in-app purchases without you writing a single line of code. Play Billing Skills is a collection of forty-five instruction recipes that teach tools like Claude Code how to integrate Google Play Billing and the RevenueCat SDK. These files are not documentation for humans. They are step-by-step operational guides for machines, covering everything from setting up server-side notifications to handling failed renewals and version migrations. You simply ask your agent to set up a specific billing feature, and the system loads the correct recipe to execute the exact API calls required.

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📦 papilotai/papilot

Papilot: Edit PDFs, Skip the Code

Papilot lets you edit academic papers by drawing on the PDF instead of touching the source code. You highlight a sentence, tell an AI agent what to change, and the tool edits the underlying file for you. The most striking part is the review process. It shows you exactly what changed on the page so you can accept or reject each edit visually. This solves the frustrating disconnect between writing in code and seeing the final document. You get to work on the paper itself, with the AI handling the messy details behind the scenes.

📰 https://news.ycombinator.com/item?id=50284944

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📦 yuechen-li-dev/aetheris

Aetheris

Aetheris treats 3D computer aided design like software engineering, not like a fussy manual. It uses a domain specific language called Firmament to describe parts as code, then compiles them into exact, mathematically perfect shapes that never need fixing later. This approach kills the annoying slivers and broken geometry that plague traditional tools. It is essentially a compiler for real world objects, built to be headless and scriptable. If you have ever wanted to automate your product design without fighting a clunky interface, this is the project to watch closely.

📰 https://news.ycombinator.com/item?id=49362673

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📦 jburgess-r7/cve-2026-97229-poc

CVE-2026-97229-poc: GitLab RCE PoC

A single unauthenticated web request can turn a standard GitLab server into a remote command executor, and this proof of concept just proved it. The project named cve-2026-97229-poc targets a severe integer overflow bug in GitLab's continuous integration linter. By crafting a specific regular expression and file path, an attacker forces the server's internal text engine to misread memory boundaries. This trick redirects the server's execution flow to run arbitrary commands as the Git user, all without needing a password or cookie for the final step. It’s a stark reminder that even public, read-only endpoints can be deadly if the underlying code isn't tight.

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📦 polyu-vclab/omnicompass

OmniCompass: The Ultimate Video AI Stress Test

OmniCompass is the video AI benchmark that finally stops models from faking it. Built by researchers at PolyU, it uses eighteen hundred hours of human annotation to test if AI can actually find objects and moments in real video. The real kicker is that it checks if models behave consistently whether you ask questions with just words or with a picture and text. It is a massive stress test for the next generation of video understanding tools. If you care about whether AI truly sees what is happening, this is the yardstick you need to know about.

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📦 stanlukuvka/comfyui-speed-sampler

ComfyUI Speed Sampler: Faster Renders

Your AI video renders just got significantly faster without touching your model weights. ComfyUI Speed Sampler implements a method called Speed, which lets you generate images and video by starting the process on a tiny, low-resolution grid and only scaling up to full definition when the details actually matter. This saves a massive amount of compute during the noisy early steps where you would otherwise waste power. The repository provides drop-in nodes for ComfyUI that handle this calibration automatically, ensuring your final output looks clean without any manual tweaking. It is a clever way to save time on every render.

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📦 modem-dev/boxery

Boxery: Give your coding agents disposable VMs

Spin up a throwaway virtual machine for your coding agent in about thirteen seconds. Boxery lets tools like Claude Code or Cursor launch, fork, and snapshotted Linux VMs directly from their own machine. The coolest part is that your agent gets a full desktop environment. It can open Chrome, click buttons, take screenshots, and actually watch the code run, all inside a secure, disposable box. Your real login keys stay safely on your laptop, so the agent can install anything or run untrusted code without ever touching your personal files. It is the perfect safe room for letting AI experiment, fail, and iterate at speed.

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📦 xyzdist/h3-longtakenocuts

H3 LongTakeNoCuts Fixes Video Drift

H3 LongTakeNoCuts is the ComfyUI workflow that finally stops long videos from losing their quality. When you generate continuous shots with the H3 model, images start to look waxy and blurry after about five seconds. This happens because each new segment slightly copies the last one, causing details to fade away like a bad photocopy. This project fixes that by adding a quick refinement step to restore sharpness. It then blends these fresh details back into your video frame by frame. This simple trick keeps characters looking crisp for much longer, giving you high-quality, continuous shots without the usual degradation.

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📦 paaime/ac-3ds

Animal Crossing on the 3DS

Ac Three D S is the reverse engineering project that brings the classic GameCube Animal Crossing to the Nintendo 3DS. This port is fascinating because it takes a full-featured life simulation, originally built for a powerful living room console, and squeezes it into a handheld device with much tighter hardware limits. It solves the problem of accessibility for fans who want the original console experience on their portable system. The codebase handles complex systems like NPC scheduling, weather patterns, and museum data, proving that the 3DS can handle the game's intricate logic.

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📦 artemnovitckii/claude-animation-skills

Claude Animation Skills: 3D Reels From Text

Turn a single sentence into a fully animated, vertical video clip. The project called claude animation skills plugs directly into Claude Code to generate six distinct motion graphics styles, including 3D map routes, line graphs, and exploded device views, without requiring any live footage. It handles the entire production pipeline locally, writing the animation code, rendering the visuals on your own computer, and even checking the output against safe area guidelines for social media. Instead of hiring a designer or learning complex software, you simply type a prompt like a journey from home to the gym, and the tool builds the scene, camera movements, and labels for you.

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📦 raylee-ai/lancer

Lancer: The Desktop AI Workspace That Runs Real Code

Lancer is a desktop application that gives artificial intelligence agents the ability to actually execute tasks on your computer, not just talk about them. Built as an open source alternative to closed enterprise tools, it wraps a powerful agent runtime inside a dedicated window on your Mac or Windows machine. The project solves the problem of isolated chat bots by letting AI write code, run terminal commands, and manage files right inside your local environment. It is currently in alpha development, meaning it is an early stage preview for developers who want to see how a fully local, code-first AI workspace looks and feels.

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📦 joshlin2201/itspaint

ItsPaint: MS Paint for Mac

ItsPaint is a free Mac app that fits in a single megabyte download yet runs entirely without any network access, meaning your screenshots never leave your computer. It solves a common headache by letting you take a picture of your screen, number your steps, and pixelate sensitive info right away, saving you from opening expensive paid tools or giant design suites. The engine is tiny, fast, and open source, making it perfect for quickly marking up bug reports or explaining a process to a friend. If you need a simple, private way to edit images on your Mac, this little utility is worth a try.

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📦 clausy9/evo-wam

evo-wam: Robots That Teach Themselves By Watching Videos

This robot learns to pick up objects by watching videos of itself, without any human teacher. The project, called evo wam, solves the problem that robots usually need thousands of hours of human recording to learn basic tasks. Instead, the system generates its own attempts, checks if the actions match the video, and keeps only the successful parts to train on. It improves its skills round after round, boosting success rates from twenty percent to nearly eighty percent on real robot tasks. It proves machines can improve by verifying their own imagination, not just by following orders. That is how robots get smarter without a human in the loop.

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