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📦 michaljach/opencode-browser
Opencode Browser
Opencode-browser is the browser automation plugin that directly connects your AI editor to Chrome or Edge for ultra-fast web tasks. Instead of wrestling with complex scraping scripts or manual testing setups, this tool integrates a specialized protocol to let your AI navigate sites, fill forms, and extract data in real time. What makes it special is its speed-focused optimization; it injects smart guidance directly into the AI's prompts to prevent redundant page reloads and eliminate artificial reconnect delays. It is the perfect helper for anyone wanting to automate web workflows instantly right from their development workspace.
🆔 @hackernewsgithubprojects
Opencode Browser
Opencode-browser is the browser automation plugin that directly connects your AI editor to Chrome or Edge for ultra-fast web tasks. Instead of wrestling with complex scraping scripts or manual testing setups, this tool integrates a specialized protocol to let your AI navigate sites, fill forms, and extract data in real time. What makes it special is its speed-focused optimization; it injects smart guidance directly into the AI's prompts to prevent redundant page reloads and eliminate artificial reconnect delays. It is the perfect helper for anyone wanting to automate web workflows instantly right from their development workspace.
🆔 @hackernewsgithubprojects
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📦 paopaoandlingyia/prismcat
PrismCat
PrismCat is the self-hosted debugging proxy that finally reveals exactly what your apps are sending to language models behind the scenes. Think of it as a local black box recorder for your AI calls. Just change your base URL to route traffic through it, and you will instantly capture every raw request, response, and streaming chunk in a clean dashboard. If an agent goes rogue or a prompt breaks, you do not have to rerun your script. You can tweak parameters and replay the exact API request directly in your browser. It runs locally via SQLite, keeping your API keys and data completely private.
📰 https://news.ycombinator.com/item?id=48279360
🆔 @hackernewsgithubprojects
PrismCat
PrismCat is the self-hosted debugging proxy that finally reveals exactly what your apps are sending to language models behind the scenes. Think of it as a local black box recorder for your AI calls. Just change your base URL to route traffic through it, and you will instantly capture every raw request, response, and streaming chunk in a clean dashboard. If an agent goes rogue or a prompt breaks, you do not have to rerun your script. You can tweak parameters and replay the exact API request directly in your browser. It runs locally via SQLite, keeping your API keys and data completely private.
📰 https://news.ycombinator.com/item?id=48279360
🆔 @hackernewsgithubprojects
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📦 qasimwani/spatial-reasoning
Spatial Reasoning
Pinpoint highly specific, hard-to-find objects in any image just by describing them in plain English. This Python package, called spatial-reasoning, lets you run advanced object detection without needing a custom-trained model. Instead of relying on rigid, pre-set categories, it pairs powerful vision models with smart, grid-based reasoning tools. You can ask it to find the farthest scooter on a busy street or a tiny, obscure detail in a photo, and it logically breaks down the image to locate it. It is incredibly easy to set up and brings highly flexible visual search right to your local code.
🆔 @hackernewsgithubprojects
Spatial Reasoning
Pinpoint highly specific, hard-to-find objects in any image just by describing them in plain English. This Python package, called spatial-reasoning, lets you run advanced object detection without needing a custom-trained model. Instead of relying on rigid, pre-set categories, it pairs powerful vision models with smart, grid-based reasoning tools. You can ask it to find the farthest scooter on a busy street or a tiny, obscure detail in a photo, and it logically breaks down the image to locate it. It is incredibly easy to set up and brings highly flexible visual search right to your local code.
🆔 @hackernewsgithubprojects
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📦 trx7111/comfyui-trixloader
comfyui-trixloader
You can now edit, crop, and mask your images directly inside ComfyUI without ever jumping back and forth to Photoshop. The comfyui-trixloader project brings a complete image editing suite right into your node canvas. It features a Lightroom-style workspace with adjustment sliders, color curves, and layer controls. Even better, it packs a built-in AI mask editor that lets you isolate objects instantly using advanced background removal and text-prompted masking. Whether you need to fix colors, pad edges, or generate complex masks, this clever tool lets you handle your entire image prep pipeline right inside your workflow.
🆔 @hackernewsgithubprojects
comfyui-trixloader
You can now edit, crop, and mask your images directly inside ComfyUI without ever jumping back and forth to Photoshop. The comfyui-trixloader project brings a complete image editing suite right into your node canvas. It features a Lightroom-style workspace with adjustment sliders, color curves, and layer controls. Even better, it packs a built-in AI mask editor that lets you isolate objects instantly using advanced background removal and text-prompted masking. Whether you need to fix colors, pad edges, or generate complex masks, this clever tool lets you handle your entire image prep pipeline right inside your workflow.
🆔 @hackernewsgithubprojects
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📦 vg-gui-tasker/vg-gui-tasker
vg-gui-tasker
Teach digital agents to navigate software simply by watching video tutorials. While AI models can answer basic questions about a video, they struggle to translate those visual lessons into actual step-by-step actions on a computer screen. This project closes that gap with a smart search algorithm called TASKER that acts like a human eye, instantly pulling out only the most important video frames needed to complete a task. By filtering out background noise and focusing on key moments, it helps GUI agents click, scroll, and type their way through complex online workflows with incredible accuracy and efficiency.
🆔 @hackernewsgithubprojects
vg-gui-tasker
Teach digital agents to navigate software simply by watching video tutorials. While AI models can answer basic questions about a video, they struggle to translate those visual lessons into actual step-by-step actions on a computer screen. This project closes that gap with a smart search algorithm called TASKER that acts like a human eye, instantly pulling out only the most important video frames needed to complete a task. By filtering out background noise and focusing on key moments, it helps GUI agents click, scroll, and type their way through complex online workflows with incredible accuracy and efficiency.
🆔 @hackernewsgithubprojects
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📦 juntaojianggavin/april-medseg
April MedSeg
Mix and match any neural network component for medical image analysis with just a single line of configuration. Setting up medical image segmentation usually means wrestling with rigid, hardcoded architectures, but april-medseg changes the game by turning the entire process into a modular playground. You can instantly swap between over a hundred encoders, dozens of decoders, and specialized skip connections using simple configuration files. Whether you are experimenting with classic architectures, cutting-edge foundation models, or advanced training methods like semi-supervised learning, this tool lets you assemble the perfect pipeline without writing custom glue code. Grab your coffee and start building smarter medical AI systems today.
🆔 @hackernewsgithubprojects
April MedSeg
Mix and match any neural network component for medical image analysis with just a single line of configuration. Setting up medical image segmentation usually means wrestling with rigid, hardcoded architectures, but april-medseg changes the game by turning the entire process into a modular playground. You can instantly swap between over a hundred encoders, dozens of decoders, and specialized skip connections using simple configuration files. Whether you are experimenting with classic architectures, cutting-edge foundation models, or advanced training methods like semi-supervised learning, this tool lets you assemble the perfect pipeline without writing custom glue code. Grab your coffee and start building smarter medical AI systems today.
🆔 @hackernewsgithubprojects
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📦 danyalrehman/autobg
autobg
Ditching complex physics simulators to predict how proteins wiggle and fold just got a massive upgrade because we can now generate molecular structures using the same core math that powers modern chat bots. A new project called autobg completely throws out the traditional, slow, math-heavy simulation flows. Instead, it breaks down the exact three-dimensional coordinates of a molecule's atoms and predicts them step-by-step like words in a sentence using a custom transformer. It is incredibly fast, avoids the typical geometric errors that break other models, and its pre-trained model can even predict structures for entirely unseen peptides on the first try.
🆔 @hackernewsgithubprojects
autobg
Ditching complex physics simulators to predict how proteins wiggle and fold just got a massive upgrade because we can now generate molecular structures using the same core math that powers modern chat bots. A new project called autobg completely throws out the traditional, slow, math-heavy simulation flows. Instead, it breaks down the exact three-dimensional coordinates of a molecule's atoms and predicts them step-by-step like words in a sentence using a custom transformer. It is incredibly fast, avoids the typical geometric errors that break other models, and its pre-trained model can even predict structures for entirely unseen peptides on the first try.
🆔 @hackernewsgithubprojects
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📦 yao-ustc/adapt
ADAPT
adapt is the tool that finally stops vision-language models from hallucinating objects that are not actually in your images. When a visual model writes a long description, its focus naturally drifts away from the picture and starts making things up based on text patterns. This project fixes that by tracking the model's early, highly accurate visual focus to build a stable anchor. If the model's attention starts to wander during writing, the system steps in and gently steers its focus back to the right parts of the image. Give it a spin to build incredibly accurate and visually grounded AI applications.
🆔 @hackernewsgithubprojects
ADAPT
adapt is the tool that finally stops vision-language models from hallucinating objects that are not actually in your images. When a visual model writes a long description, its focus naturally drifts away from the picture and starts making things up based on text patterns. This project fixes that by tracking the model's early, highly accurate visual focus to build a stable anchor. If the model's attention starts to wander during writing, the system steps in and gently steers its focus back to the right parts of the image. Give it a spin to build incredibly accurate and visually grounded AI applications.
🆔 @hackernewsgithubprojects
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📦 wesammustafa/opencode-everything-you-need-to-know
OpenCode: Everything You Need to Know
The open-source AI coding assistant opencode-everything-you-need-to-know is the ultimate community-maintained guide that finally takes the mystery out of running a terminal-based AI programmer. Think of it as your master blueprint for OpenCode, an open-source terminal app that actually reads your local repository, edits your files, and runs tests directly on your machine. While chat interfaces make you copy-paste snippets, this guide shows you how to safely set up custom commands and automate workflows. My absolute favorite part is how it explains the plan-to-build cycle, letting you design a change risk-free before letting the AI write any code. Check out this guide to turn a chaotic AI assistant into your most...
🆔 @hackernewsgithubprojects
OpenCode: Everything You Need to Know
The open-source AI coding assistant opencode-everything-you-need-to-know is the ultimate community-maintained guide that finally takes the mystery out of running a terminal-based AI programmer. Think of it as your master blueprint for OpenCode, an open-source terminal app that actually reads your local repository, edits your files, and runs tests directly on your machine. While chat interfaces make you copy-paste snippets, this guide shows you how to safely set up custom commands and automate workflows. My absolute favorite part is how it explains the plan-to-build cycle, letting you design a change risk-free before letting the AI write any code. Check out this guide to turn a chaotic AI assistant into your most...
🆔 @hackernewsgithubprojects
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📦 geonhobang/eccv2026_horizon3d
Horizon3D
Detect objects in the far distance with incredible accuracy by combining camera images with radar data. The clever folks at Seoul National University created eccv2026_horizon3d to help self-driving cars see much further down the highway. Typically, merging sparse radar signals with visual feeds gets messy over long distances, but this project uses smart 3D Gaussian shapes to map out the physical space perfectly. It actually smashed the previous best detection benchmarks on a major trucking dataset. While we are waiting on the official code release, it is a brilliant glimpse into how future autonomous vehicles will navigate highways safely.
🆔 @hackernewsgithubprojects
Horizon3D
Detect objects in the far distance with incredible accuracy by combining camera images with radar data. The clever folks at Seoul National University created eccv2026_horizon3d to help self-driving cars see much further down the highway. Typically, merging sparse radar signals with visual feeds gets messy over long distances, but this project uses smart 3D Gaussian shapes to map out the physical space perfectly. It actually smashed the previous best detection benchmarks on a major trucking dataset. While we are waiting on the official code release, it is a brilliant glimpse into how future autonomous vehicles will navigate highways safely.
🆔 @hackernewsgithubprojects
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📦 trevtron/rtl-ml
rtl-ml
Identify everyday radio transmissions right from your desk using machine learning on a tiny, low-cost microcomputer. This project uses a basic software-defined radio receiver connected to a Raspberry Pi to listen to the airwaves and classify different types of signals. Instead of heavy, power-hungry deep learning models, it extracts simple mathematical features from raw radio waves and uses a lightweight decision-tree algorithm. This smart approach yields over ninety-six percent accuracy when identifying FM broadcasts, weather alerts, ham radio packets, and wireless sensors, all running locally without any internet connection. It is a brilliant way to explore the invisible electromagnetic spectrum around us.
🆔 @hackernewsgithubprojects
rtl-ml
Identify everyday radio transmissions right from your desk using machine learning on a tiny, low-cost microcomputer. This project uses a basic software-defined radio receiver connected to a Raspberry Pi to listen to the airwaves and classify different types of signals. Instead of heavy, power-hungry deep learning models, it extracts simple mathematical features from raw radio waves and uses a lightweight decision-tree algorithm. This smart approach yields over ninety-six percent accuracy when identifying FM broadcasts, weather alerts, ham radio packets, and wireless sensors, all running locally without any internet connection. It is a brilliant way to explore the invisible electromagnetic spectrum around us.
🆔 @hackernewsgithubprojects
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📦 nju-pcalab/orthotryon
orthotryon
orthotryon is the AI fashion generator that tackles multiple styling tasks at the same time without breaking a sweat. Usually, if you want an AI to handle a virtual try-on, reconstruct a garment, and transfer a model pose, you have to run separate, heavy systems that fight each other for resources. This project changes that by using a clever mathematical trick to separate tasks geometrically inside a single, shared model. This keeps the tasks from interfering with each other so you get incredibly clean, realistic clothing swaps and pose changes. It is a massive step forward for lightweight, high-fidelity digital fashion.
🆔 @hackernewsgithubprojects
orthotryon
orthotryon is the AI fashion generator that tackles multiple styling tasks at the same time without breaking a sweat. Usually, if you want an AI to handle a virtual try-on, reconstruct a garment, and transfer a model pose, you have to run separate, heavy systems that fight each other for resources. This project changes that by using a clever mathematical trick to separate tasks geometrically inside a single, shared model. This keeps the tasks from interfering with each other so you get incredibly clean, realistic clothing swaps and pose changes. It is a massive step forward for lightweight, high-fidelity digital fashion.
🆔 @hackernewsgithubprojects
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📦 erwanlorteau/bmad_openclaw
bmad_openclaw
The bmad_openclaw extension is the OpenClaw plugin that finally translates structured agile development into isolated, AI-driven workflows. Instead of letting a single AI chat get cluttered and lose track of your project, this system coordinates specialized agents for every phase of building software. It boots up dedicated personas for analysis, product management, architecture, and coding, passing clean context to each one without any memory bleed. You can run the entire lifecycle from product brief to code review either fully automated or step-by-step with your feedback. It is a brilliant way to keep complex AI development organized and highly precise.
🆔 @hackernewsgithubprojects
bmad_openclaw
The bmad_openclaw extension is the OpenClaw plugin that finally translates structured agile development into isolated, AI-driven workflows. Instead of letting a single AI chat get cluttered and lose track of your project, this system coordinates specialized agents for every phase of building software. It boots up dedicated personas for analysis, product management, architecture, and coding, passing clean context to each one without any memory bleed. You can run the entire lifecycle from product brief to code review either fully automated or step-by-step with your feedback. It is a brilliant way to keep complex AI development organized and highly precise.
🆔 @hackernewsgithubprojects
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📦 ch-bas/cctv-camera-database
CCTV Camera Database
Stop guessing which security camera to buy and search over sixteen hundred different models across dozens of brands in one place. The cctv-camera-database project offers a massive, free, public database packed with detailed technical specifications for home and industrial security cameras. Instead of drowning in marketing hype or getting locked into proprietary ecosystems, you can easily compare real hardware specs like resolution, power options, and local storage capabilities. It is the ultimate open-source resource for smart homeowners and privacy-focused builders to find the perfect camera hardware without the corporate spin.
📰 https://news.ycombinator.com/item?id=48583681
🆔 @hackernewsgithubprojects
CCTV Camera Database
Stop guessing which security camera to buy and search over sixteen hundred different models across dozens of brands in one place. The cctv-camera-database project offers a massive, free, public database packed with detailed technical specifications for home and industrial security cameras. Instead of drowning in marketing hype or getting locked into proprietary ecosystems, you can easily compare real hardware specs like resolution, power options, and local storage capabilities. It is the ultimate open-source resource for smart homeowners and privacy-focused builders to find the perfect camera hardware without the corporate spin.
📰 https://news.ycombinator.com/item?id=48583681
🆔 @hackernewsgithubprojects
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📦 nanzhipro/karpathy-llm-wiki-bootstrap-skill
karpathy-llm-wiki-bootstrap-skill
karpathy-llm-wiki-bootstrap-skill is the installable agent tool that compiles your raw articles and research notes into a permanent, self-updating knowledge base. Instead of treating AI as a one-shot chatbot that forgets everything the moment you close the window, this tool lets your editor compile new materials into a structured, interlinked wiki. It automatically organizes everything into dedicated concept, comparison, and synthesis pages while keeping your original sources completely untouched. This means your personal notes compound and grow over time without you having to manually manage broken links and messy formatting. Grab this tool to build a personal encyclopedia that actually remembers for you.
🆔 @hackernewsgithubprojects
karpathy-llm-wiki-bootstrap-skill
karpathy-llm-wiki-bootstrap-skill is the installable agent tool that compiles your raw articles and research notes into a permanent, self-updating knowledge base. Instead of treating AI as a one-shot chatbot that forgets everything the moment you close the window, this tool lets your editor compile new materials into a structured, interlinked wiki. It automatically organizes everything into dedicated concept, comparison, and synthesis pages while keeping your original sources completely untouched. This means your personal notes compound and grow over time without you having to manually manage broken links and messy formatting. Grab this tool to build a personal encyclopedia that actually remembers for you.
🆔 @hackernewsgithubprojects
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📦 keaill/rsiccllm
RSICCLLM
Compare satellite photos taken at different times and automatically describe exactly what changed on the ground. This project is preparing to release a specialized artificial intelligence model that looks at before-and-after aerial images to write natural, detailed sentences about human and environmental shifts, like new buildings appearing or forests shrinking. Instead of forcing humans to manually spot tiny differences across massive landscapes, this system automates the tedious work of tracking geographic updates. Keep an eye on this repository as the creators prepare to share their complete code and dataset following its acceptance at a major computer vision conference.
🆔 @hackernewsgithubprojects
RSICCLLM
Compare satellite photos taken at different times and automatically describe exactly what changed on the ground. This project is preparing to release a specialized artificial intelligence model that looks at before-and-after aerial images to write natural, detailed sentences about human and environmental shifts, like new buildings appearing or forests shrinking. Instead of forcing humans to manually spot tiny differences across massive landscapes, this system automates the tedious work of tracking geographic updates. Keep an eye on this repository as the creators prepare to share their complete code and dataset following its acceptance at a major computer vision conference.
🆔 @hackernewsgithubprojects
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📦 socket7/livediff
Livediff
Watch file changes instantly in your terminal while they happen instead of waiting until after you save. Livediff gives you a minimalist, keyboard-driven interface that updates automatically whenever code generators, style formatters, or search-and-replace scripts modify your files. Unlike heavy desktop programs or basic command-line utilities, it focuses entirely on displaying precise, character-by-character highlights of your current edits with a tiny processing footprint. It is the perfect sidekick for keeping an eye on automated changes in real time. Grab it using your package manager and keep your eyes on your code.
🆔 @hackernewsgithubprojects
Livediff
Watch file changes instantly in your terminal while they happen instead of waiting until after you save. Livediff gives you a minimalist, keyboard-driven interface that updates automatically whenever code generators, style formatters, or search-and-replace scripts modify your files. Unlike heavy desktop programs or basic command-line utilities, it focuses entirely on displaying precise, character-by-character highlights of your current edits with a tiny processing footprint. It is the perfect sidekick for keeping an eye on automated changes in real time. Grab it using your package manager and keep your eyes on your code.
🆔 @hackernewsgithubprojects
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📦 andrew-shwetzer/career-ops-plugin
Career Ops Plugin
Career-ops-plugin is the Claude Cowork tool that finally turns your chaotic job search into a structured system. By acting as a private, local AI career assistant, it connects directly with Claude to help you tackle the worst parts of the application process. You simply paste your resume once, and the plugin lets you instantly run deep, honest evaluations of any job posting, auto-generating resumes tailored specifically for applicant tracking systems. It can even scan company portals, track your pipeline, and draft outreach messages. It is a brilliant way to make a stressful job hunt feel organized and automated.
🆔 @hackernewsgithubprojects
Career Ops Plugin
Career-ops-plugin is the Claude Cowork tool that finally turns your chaotic job search into a structured system. By acting as a private, local AI career assistant, it connects directly with Claude to help you tackle the worst parts of the application process. You simply paste your resume once, and the plugin lets you instantly run deep, honest evaluations of any job posting, auto-generating resumes tailored specifically for applicant tracking systems. It can even scan company portals, track your pipeline, and draft outreach messages. It is a brilliant way to make a stressful job hunt feel organized and automated.
🆔 @hackernewsgithubprojects
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📦 mint-sjtu/la4vla
la4vla
Robots usually fail their instructions because they rely on visual shortcuts instead of actually listening to what you tell them to do. The creators of la4vla realized that when a robot gets bombarded with video feeds and movement data simultaneously, the visual noise completely drowns out the spoken instructions. To fix this, they built a smart framework that teaches robots to understand physical tasks by training them on language and movement paths with the cameras completely turned off. By mastering these basic action patterns first, the robot builds a solid understanding of instructions, making its real-world success rate jump by up to forty-five percent once the cameras finally turn on.
🆔 @hackernewsgithubprojects
la4vla
Robots usually fail their instructions because they rely on visual shortcuts instead of actually listening to what you tell them to do. The creators of la4vla realized that when a robot gets bombarded with video feeds and movement data simultaneously, the visual noise completely drowns out the spoken instructions. To fix this, they built a smart framework that teaches robots to understand physical tasks by training them on language and movement paths with the cameras completely turned off. By mastering these basic action patterns first, the robot builds a solid understanding of instructions, making its real-world success rate jump by up to forty-five percent once the cameras finally turn on.
🆔 @hackernewsgithubprojects
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📦 xgxgnpu/physics-informed-vibe-coding
Physics Informed Vibe Coding
Researchers are now training complex physics-informed neural networks to solve difficult fluid dynamics equations without writing a single line of code by hand. This repository represents the first open-source platform that uses artificial intelligence agents to completely automate scientific machine learning research. Instead of fighting with boilerplate code or manually tuning parameters, a researcher simply brings the core scientific problem, while the AI writes the code, designs the experiments, and refines the models in JAX. It contains GPU-accelerated implementations for advanced neural operators and random feature methods, helping scientists bypass engineering friction to focus entirely on discovery.
🆔 @hackernewsgithubprojects
Physics Informed Vibe Coding
Researchers are now training complex physics-informed neural networks to solve difficult fluid dynamics equations without writing a single line of code by hand. This repository represents the first open-source platform that uses artificial intelligence agents to completely automate scientific machine learning research. Instead of fighting with boilerplate code or manually tuning parameters, a researcher simply brings the core scientific problem, while the AI writes the code, designs the experiments, and refines the models in JAX. It contains GPU-accelerated implementations for advanced neural operators and random feature methods, helping scientists bypass engineering friction to focus entirely on discovery.
🆔 @hackernewsgithubprojects