📦 kimsh-1/gongnyang-prompt-kit

gongnyang-prompt-kit

gongnyang-prompt-kit is the clever Claude Code skill that turns your vaguest, one-sentence ideas into production-ready image generation prompts. If you have ever asked an AI generator for a poster and got back hot garbage, you know the pain of writing long, painful camera angles, hex codes, and layouts. This tool automatically compiles your lazy requests into structured prompts complete with scenes, lighting, and aspect ratios. It even runs a built-in validator to check the output before you generate. It is like having a professional designer translate your messy thoughts into beautiful, predictable art on the very first try.

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📦 bino5150/lumina

Lumina: The 100% Local AI Agent Built to Fit on Consumer Hardware

Most local AI assistants are bloated, memory-wiping wrappers that will choke your hardware, but Lumina is a complete, privacy-first agentic operating system built from scratch to run entirely on your own machine. Designed on a modest four-gigabyte graphics card, this clever tool bypasses corporate cloud servers completely. It features a unique three-layer memory system that actually remembers your projects and decays naturally over time, and it even reviews its own day to dream up new memories while idle. With native desktop controls, voice cloning, and sixty built-in tools, it is the ultimate loyal companion for your desktop.

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📦 lsxi7/wat3r

Wat3R

The underwater mapping tool that maps deep-sea geometry without needing any manual data labels, wat3r is changing how we reconstruct the ocean floor. Usually, teaching an AI to map things in 3D requires thousands of hand-labeled images, which is basically impossible to get underwater because of murky, scattering light. This project solves that by adapting models trained on dry land and training them on raw, unlabeled ocean videos. It uses a clever cross-view trick to piece together depth maps and camera positions, cutting through the haze. You can plug in normal underwater photos and instantly get 3D point clouds.

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📦 pengjie-w/deltav

deltav

An artificial intelligence model can now reason through complex visual tasks by only tracking what changes from one step to the next, rather than regenerating a complete image every single time. This is the core breakthrough of deltav, a unified large multimodal model designed for step-by-step visual reasoning. Traditional systems waste massive amounts of computation by repeatedly processing static, unchanged backgrounds during a logical sequence. Instead, this project uses a clever routing system that measures visual changes over time and dynamically updates only the reasoning-critical modifications. It is a highly efficient way to help computers solve visual puzzles, plan spatial layouts, and handle multi-step logic without drowning in redundant data.

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📦 fduflyer/droneaware-node-releases

droneaware-node-releases

droneaware-node-releases is the community-driven software that turns a basic Raspberry Pi into a real-time drone tracking station. By connecting a cheap USB Bluetooth and Wi-Fi adapter, your DIY node scans the airwaves for mandatory drone Remote ID broadcasts, acting like a local radar for unmanned aircraft. It decodes the drone’s identity, speed, and flight path, forwarding the data to a live global map. You can monitor everything from your home network, receive instant email alerts when a drone flies nearby, and even watch detailed flight replays. It is a brilliant way to bring airspace transparency right to your neighborhood.

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📦 shengshu-ai/vidu-s1

Vidu S1

Vidu-s1 is the AI model that finally lets you talk to digital characters and watch them react in real time. Instead of waiting minutes for an AI video to render, this project lets you verbally instruct a custom avatar, an anime character, or even a pet, and watch them perform actions instantly. It generates standard video at a blazing fast forty-two frames per second, running smoothly on normal consumer graphics cards. It basically turns video generation into a live, interactive conversation. If you want to see how fast video AI is moving, you should definitely check this out.

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📦 velornlabs/velorn

Velorn: The AI Video Editor Powered by ComfyUI

Turn your ComfyUI generation chaos into a polished, structured masterpiece with a timeline editor built directly for AI creators. Velorn brings your local and cloud workflows into a single workspace, letting you assemble music videos from lyrics, generate UGC-style ads, and trim clips with multi-track control. Instead of jumping between endless tabs and file folders, you can run custom workflows, generate assets, apply transitions, and style captions all in one place. It even includes a local agent server that can inspect your timeline and troubleshoot missing models. It is the ultimate production layer to finally finish your AI video edits.

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📦 mudler/depth-anything.cpp

Depth Anything CPP

This lightweight tool can actually compute incredibly detailed 3D depth maps on your computer's CPU faster than PyTorch, all without needing Python or a massive deep learning framework. It is called depth-anything.cpp, and it is a pure C++ port of ByteDance's depth-sensing model that runs entirely inside a single, self-contained file. By rewriting the code from scratch and caching the heavy geometric calculations, this engine uses half the memory of PyTorch and loads almost seven times faster. You can extract 3D point clouds, camera angles, and depth maps from a simple photo in a fraction of a second.

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📦 zju-omniai/vla-corrector

VLA Corrector

vla-corrector is the robot control framework that finally stops robotic arms from repeating their own mistakes. Traditional robot AI models plan out a long list of actions and then blindly execute them, completely ignoring if a gripper slips or an object slides away mid-task. Instead of throwing away your massive AI models, this project plugs in a lightweight, forty-million-parameter monitor that watches the camera feed in real time. The moment it detects a mismatch between what the robot expects to happen and what is actually happening, it instantly stops the stale action queue and recalculates a recovery plan. Grab the code on GitHub to give your robots actual common sense.

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📦 labrai/skillcenter

skillcenter

skillcenter is the clever open-source indexer that packages over one hundred thousand ready-to-use AI agent skills into a single local command. Instead of manually writing custom prompts or hunting down setup instructions for your AI coding assistants, this tool lets you search and install tailored skill files directly into your project in seconds. It crawls thousands of repositories, research papers, and developer sources, packing them into an offline SQLite database you can search instantly. You just run a quick command to find what you need, install it to your project, and your agent immediately picks up the new capability. Check out skillcenter on GitHub to supercharge your local developer agents...

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📦 sarthaxxxxx/awesome-continual-test-time-adaptation

Awesome Continual Test Time Adaptation

awesome-continual-test-time-adaptation is the curated directory that finally maps out how AI models can adapt to the real world on the fly. Imagine deploying a smart camera, but then it rains, the lighting shifts, or the camera lens gets dusty, causing the AI to completely freeze up. This repository gathers all the research, benchmarks, and strategies for updating AI models in real-time as they run, without erasing their original training or needing expensive servers. It is like giving an AI model a pair of glasses that constantly adjusts its focus so it never gets confused by a little weather change. Check it out to see how the smartest models stay sharp.

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📦 kuskhan/jetendard

Jetendard

Jetendard perfectly solves the awkward spacing issues that usually happen when combining English coding fonts with Korean characters. By combining JetBrainsMono Nerd Font with Pretendard Korean glyphs, this clever python-based builder scales the Korean characters up by exactly fifteen percent. This slight adjustment removes the unnecessary gaps around Korean words, aligning them to exactly twice the width of the English characters. The result is an incredibly crisp, visually stable, and highly legible monospace font that gives developers writing in Korean a beautiful and perfectly proportioned coding environment in their terminals and editors.

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📦 sbroenne/mcp-server-excel

mcp-server-excel

Connect your favorite AI assistant directly to Microsoft Excel to automate spreadsheet workflows using everyday language. This clever project bridges artificial intelligence and your local Excel application using the Model Context Protocol. Unlike tools that only parse static files, it actually drives your installed Excel app in real time, letting an AI build formulas, refresh Power Query, run VBA macros, and update pivot tables on the fly. You can watch your spreadsheet update instantly as the AI works. It is the perfect playground for automating tedious data tasks without writing complex scripts. Give it a spin and let your AI do the heavy lifting.

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📦 davian-robotics/3d_hamster

3D HAMSTER

3D HAMSTER is the depth-aware robot planner that finally keeps your machine's trajectory grounded in physical reality. While typical AI planners only figure out movements on a flat two-dimensional screen, this system calculates real physical coordinates in space directly from a single camera feed and a simple depth map. By planning in actual metric measurements, it makes sure the robot's arm never gets confused by flat pixels or makes clumsy physical mistakes. It acts as a bridge between high-level language commands and actual hardware controls. Grab the open-source code and download the ready-to-use model weights to start teaching your robots to move with real physical awareness today.

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📦 openhwgroup/core-et

Core-Et

This open-source hardware repository is actively translating an entire silicon platform into clean, modern SystemVerilog specifically designed for artificial intelligence agents to build and verify. Instead of manual chip design, core-et structures computer chip components like clock gates, memory caches, and math processors so that autonomous digital workflows can easily translate, document, and connect them. By isolating technology-dependent parts behind clean boundaries, the same hardware design works flawlessly whether you are simulating it on a computer, testing it on an FPGA board, or prepping it for a final silicon manufacturing run. It is a fascinating glimpse into how we will design physical microchips in an AI-driven future.

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📦 limshoonkit/dl-vins-factory-ros2

dl-vins-factory-ros2

Build a robot that navigates perfectly through pitch-black tunnels or thick smoke by combining camera and motion sensor data with advanced neural networks. The dl-vins-factory-ros2 framework upgrades traditional robot navigation by replacing old-school, hand-crafted visual tracking with deep learning feature matching. What makes it special is that these heavy AI models are optimized to run directly on compact hardware like an NVIDIA Jetson, giving small robots the intelligence to recognize where they are even in challenging environments. It provides a highly reliable way to help robots build maps and stay on track without relying on external signals.

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📦 zhouqm-git/osor

OSOR

Most image editing tools fail to remove an object's complex shadows and reflections, but a new open-source system called osor erases both the target and its environmental effects in a single step. Conventional diffusion tools take dozens of slow processing steps, making them difficult to run on everyday hardware. This framework achieves realistic, clean results up to thirty times faster. By learning from a massive dataset of verified removal pairs, it easily handles imperfect or messy user selections while accurately preserving the surrounding scene. It makes fast, natural object removal accessible on everyday consumer devices.

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📦 suntay44/buildable-plugin-skills

buildable-plugin-skills

buildable-plugin-skills is the local-first AI app-builder brain that gives your personal coding agent the product intelligence it needs to build complete, polished software. Instead of starting every prompt from a blank slate, this file-based package acts as a smart companion for tools like Cursor and Claude. It analyzes your ideas to select real, build-verified starter templates, reusable design patterns, and essential UI blocks, then guides your agent through a dedicated planning, design, and review loop. You get structured, production-ready prototypes built directly in your local repository with minimum token waste, keeping you in complete control. Check it out to build smarter apps locally.

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📦 liampetti/fulloch

Fulloch

Fulloch is the fully local home voice assistant that finally gives you a private, conversational layer over your personal notes, smart devices, and web searches. Running entirely on your own computer, this clever tool connects directly to your Obsidian vault so you can search, write, or append notes using just your voice. It integrates with Home Assistant to control your smart home, handle Spotify music playback, and even pull live, private web answers without sending your personal data to big tech. It is a brilliant way to build a completely private, voice-controlled digital hub right on your own machine.

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📦 soju06/codex-lb

codex-lb

codex-lb is the intelligent API load balancer that effortlessly distributes traffic across multiple ChatGPT and Codex accounts. If you are managing several AI accounts for your team or application, you know how painful it is to hit sudden rate limits or run out of daily credits randomly. This project acts as a smart central gateway, automatically routing requests based on live account capacity, tracking detailed token usage, and providing a clean admin dashboard to manage everything. It even has built-in circuit breakers to handle sudden upstream failures gracefully. Spin up codex-lb to keep your AI infrastructure running smoothly without manual account juggling.

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📦 nvidia/infra-controller

NVIDIA Infra Controller

NVIDIA Infra Controller is the bare-metal automation stack that finally secures and boots complex data center hardware without human intervention. Instead of manually configuring network cards, switches, and servers to build an AI cloud, this tool turns your physical servers into a self-managing playground. It plugs directly into Kubernetes, handling everything from database backends to security keys, while isolating your network traffic to keep things completely secure. It essentially acts like a cloud-native ignition switch for giant piles of metal. If you want to orchestrate raw hardware as easily as spinning up virtual machines, this is the blueprint you need to check out.

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