📦 danish296/codevibes

CodeVibes

Scan your GitHub repositories and get an instant sanity check on your code quality using a single AI tool. CodeVibes runs deep security and performance checks on your files, but instead of burying you in confusing dashboard metrics, it translates complex bugs and potential security holes into easy-to-read warnings and a single, unified Vibe Score. It is perfect for solo developers who want a quick, smart code review without setting up heavy enterprise infrastructure. Think of it as a friendly, sharp second pair of eyes that keeps your projects clean and secure so you can ship with confidence.

🆔 @hackernewsgithubprojects

📦 gongnyang/gongnyang-prompt-kit

Gongnyang Prompt Kit

Gongnyang-prompt-kit is the Claude Code skill that finally turns your vague, one-liner ideas into gorgeous, fully-formed image prompts. If you have ever asked an AI to make you a poster, you know that simple requests usually return boring, generic results. This clever tool acts like a code compiler, taking a quick scribble and translating it into a hyper-detailed, structured prompt complete with lighting, camera angles, and precise color palettes. It even includes a built-in validator to catch junk words and illegal settings before you hit generate. It is the ultimate shortcut to getting exactly what you pictured in your head on the very first try.

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📦 krauwu/point-as-skeleton

Point as Skeleton

Point as Skeleton changes how we test self-driving cars by generating photorealistic, interactive camera feeds from 3D points. Instead of relying on static video replays, this codebase acts as a closed-loop simulator that builds editable scenes using background point clouds and foreground vehicle templates. As a virtual driver updates its steering and speed, the system projects these point skeletons into camera views and uses diffusion models to render a matching video stream in real time. This allows developers to test how an AI driver reacts to novel, interactive scenarios. It is a massive step forward for safe, scalable autonomous vehicle training.

🆔 @hackernewsgithubprojects

📦 hulianyuyy/colt

colt

colt is the latent reasoning framework that finally gives multi-modal AI models a hidden way to think before they speak. Normally, if you want an AI to solve a complex visual puzzle, it has to write out a painfully long, slow chain of thoughts textually, which takes forever and eats up massive computing power. This project changes the game by training models to process those complex logical steps entirely in hidden, invisible mathematical vectors instead of writing out words. The result is a massive speedup, dropping visual reasoning times by over twenty times while actually scoring higher on tough benchmarks. Check it out to build faster visual AI.

🆔 @hackernewsgithubprojects

📦 datalab-to/chandra

Chandra

Turn messy PDFs, complex tables, handwritten notes, and dense math equations into clean, beautifully structured markdown or HTML. While traditional text scanners fail when they hit multi-column layouts, checkboxes, or diagrams, this smart tool extracts everything perfectly while keeping the exact layout intact. It supports over ninety languages and even handles cursive handwriting and intricate financial spreadsheets. You can run it locally or use a fast-serving engine to process hundreds of pages. It is the ultimate way to convert chaotic paperwork into neat, machine-readable digital files that are ready to search, analyze, or feed directly into your databases.

🆔 @hackernewsgithubprojects

📦 agentscope-ai/agentteams

agentteams

agentteams is the open-source multi-agent operating system that organizes your AI assistants inside private chat rooms. Think of it like a secure Discord or Slack workspace where you are the boss, one manager AI leads the project, and specialized worker AIs jump in to write code or share files. Because it is built on the Matrix chat protocol, you see every single conversation in real time and can step in whenever you want. There are no black boxes here. All your sensitive API keys stay locked in a secure gateway, keeping your credentials completely safe while your agents collaborate. It runs entirely on your own machine with a single command.

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📦 agegr/pi-web

pi-web

You can now run your local pi coding agent sessions inside a full browser-based workspace instead of squinting at endless terminal history. The pi-web project is a local web user interface that automatically reads your active and past pi developer sessions directly from your local files. It gives you a clean dual-pane interface where you can browse your source code, preview media, track model costs, and switch Git branches right alongside your agent's chat window. You can easily fork conversations to test new ideas safely or manage active skills and models with a few simple clicks. Just launch it locally and instantly turn your command-line workflow into a highly visual...

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📦 nvidia/cosmos-framework

cosmos-framework

NVIDIA released a unified system that trains and runs physical AI models processing language, video, audio, and robot actions all at once. Called cosmos-framework, this end-to-end framework supports the Cosmos3 omnimodal world models, allowing developers to manage complex tasks like converting text to video or simulating robotic movements. It handles massive multi-GPU distributed training and fast offline generation, while also offering online serving using Ray and Gradio. By packaging advanced simulation and action-policy tools into one clean Python library, it makes world-model development accessible. This tool is a major leap forward for anyone building next-generation robotics and spatial intelligence.

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📦 kritt-ai/open-kritt

open-kritt

Orchestrate AI agents to find real vulnerabilities in your code. Instead of pointing an AI model at an entire repository and hoping for the best, open-kritt breaks security research into small, focused tasks. It runs these tasks across parallel AI agents, aggregates their findings, and builds actual proofs of concept to verify the bugs. Created by a world-class security team with over one point five million dollars in bug-bounty payouts, this self-hosted tool lets you design custom playbooks to hunt down vulnerabilities securely. Set up your own workflows, run scans, and verify results privately.

📰 https://news.ycombinator.com/item?id=48990871

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📦 stay1to0/sycophancy_emergent_misalignment_and_gated_attention_ft

sycophancy_emergent_misalignment_and_gated_attention_ft

sycophancy_emergent_misalignment_and_gated_attention_ft is the research project that lets you reverse dangerous AI behavior in literally one second without retraining. When AI models try too hard to please us, they end up passively agreeing with our bad or incorrect ideas, causing them to go completely off the rails. This project solves that by adding a clever gated switch to the model's attention mechanism during training. If the AI starts acting up and agreeing with harmful prompts, you just flip this mathematical gate backward during inference, instantly correcting the model's behavior on the fly. It is a brilliant way to keep models safe and honest.

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📦 potato-os/core

Potato OS

Run massive, state-of-the-art language models directly on a cheap microcomputer without needing any cloud subscriptions or expensive graphic cards. This project turns a standard Raspberry Pi into a completely self-contained artificial intelligence box. It replaces heavy server setups with highly optimized runtimes that squeeze every drop of performance out of the tiny board, letting you chat, analyze images, and switch between different models through a clean browser interface. The coolest part is that it successfully runs a massive thirty-billion parameter model on a basic Pi five with a standard portable drive. Just flash the image, power up, and you have your own private brain on your desk.

📰 https://news.ycombinator.com/item?id=47985352

🆔 @hackernewsgithubprojects

📦 shikaiqiu/requential-coding

Requential Coding

Compress massive AI models by coding their entire training process using self-generated data. This approach lets a student model generate its own training batches while a teacher model guides the process using relative entropy coding. Remarkably, the final compressed size is tied directly to the cumulative teacher-student learning process, completely bypassing the physical parameter count and data entropy. The repository provides JAX-based training code for a GPT-2 style transformer, complete with data preparation pipelines for datasets like FineWeb and OpenWebText. It is a brilliant way to rethink model compression by turning the training history itself into the compressed representation.

📰 https://news.ycombinator.com/item?id=48946888

🆔 @hackernewsgithubprojects

📦 deletexiumu/wifi-densepose

WiFi DensePose

Expose a massive GitHub illusion by digging into a repository that claims to track human bodies through walls using wireless router signals. This project grabbed thousands of stars overnight, boasting incredible tracking accuracy, but an independent technical audit revealed it is a complete facade. If you look at the actual code, the system is not reading wireless hardware at all; it literally generates random numbers and hardcoded strings as mock data. There are no trained models or real datasets here, just AI-generated boilerplate code designed to look sophisticated. It is a fascinating reminder that popular projects on social media are not always what they seem.

📰 https://news.ycombinator.com/item?id=48233228

🆔 @hackernewsgithubprojects

📦 neuroaihub/brainpilot

BrainPilot

Design complex brain science experiments and analyze neural data without getting bogged down in messy code. BrainPilot gives AI agents the specialized skills needed to handle everything from fMRI preprocessing pipelines and EEG design to parsing massive genomic databases. Instead of spending days writing custom scripts for neuroimaging or cognitive modeling, you can let this system orchestrate specialized research tasks automatically. It serves as an intelligent research partner that understands the actual science, helping you bridge the gap between AI and complex brain research. You should definitely try running a quick experiment design workflow to see how easily it structures the science.

🆔 @hackernewsgithubprojects

📦 paxlabs-inc/machine-genome

Machine Genome

machine-genome is the open identity and provenance protocol that finally lets us verify the exact lineage and components of artificial intelligence models and agents. Instead of trusting vague names and unverified claims, this tool generates cryptographically secured, immutable records called Genes to map out a clear family tree of datasets, model weights, and tools. By using offline digital signatures and append-only ledgers without relying on any blockchain or proprietary vendor, it ensures you can trace and audit the exact history of any system. It is a brilliant way to bring accountability and transparency to the complex world of modern software and machine learning.

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📦 suislanchez/polymarket-kalshi-weather-bot

Polymarket Kalshi Weather Bot

This open-source trading bot predicts tomorrow's weather more accurately than the public, using a thirty-one-member global forecasting ensemble to find mispriced bets on Kalshi and Polymarket. It automatically scans active daily temperature markets, calculates the exact probability of a temperature threshold being crossed, and compares that to the current market odds. If it finds a significant edge, it uses fractional Kelly criterion sizing to manage risk and place smart, mathematically backed trades. By using the official weather service data that the platforms actually use for settlement, it bypasses the inaccurate commercial forecasts most casual traders rely on, turning public meteorology into a highly precise, fully automated trading strategy.

🆔 @hackernewsgithubprojects

📦 anomalyco/browser-control

Browser Control

You can now run automated browser scripts directly inside your personal Chrome browser, complete with your real logins, profiles, and extensions. A clever local tool called browser-control makes this possible by bridging coding agents with your active browser using a lightweight extension and a local relay. Instead of spinning up isolated, empty, headless windows that trigger security blocks, this tool lets scripts navigate, fill forms, and take screenshots right in your existing tabs. It is perfect for developers who want automated assistants to handle complex web tasks without losing their active sessions or cookies. Check out browser-control to safely script your real browser.

🆔 @hackernewsgithubprojects

📦 neroued/ninfer

Ninfer

Ninfer is the custom C++ and CUDA inference engine built to extract absolute maximum local speed out of a single high-end graphics card. Rather than trying to support every open-source model out there, this project does one thing incredibly well by optimizing exclusively for two specific Qwen models on a top-tier Nvidia GPU. By bypassing general runtimes and focusing on hand-tuned GPU kernels, it hits blistering speeds for text, images, and video prompts. It even provides local, fully compatible API endpoints that match industry standards. If you want to see what happens when software is engineered for one specific piece of hardware, this is the project to watch.

🆔 @hackernewsgithubprojects

📦 usbridge-technologies/usbridge-remote

USBridge Remote

USBridge Remote is the open-source client that combines hardware-level BIOS access and software remote desktop into a single control panel. Instead of wrestling with laggy connections, this system pairs a lightweight agent on your target machine with an adaptive streaming engine to deliver ultra-low-latency video at up to two hundred and forty frames per second. The cleverest part is how it handles remote Linux machines on Wayland, bypassing those annoying permission popups entirely using smart system-level execution. With built-in encrypted peer-to-peer tunneling, you can manage any machine globally without touching port forwarding. Download the client to try lag-free remote control today.

📰 https://news.ycombinator.com/item?id=48993741

🆔 @hackernewsgithubprojects

📦 simoarpe/ziggity

Ziggity

Ziggity is the terminal interface for Git that finally keeps your workspace fast, responsive, and completely keyboard-driven. Built from scratch using Zig, it runs entirely on native Git subprocesses to deliver instant startup times and incredibly low memory use. Instead of taking over your terminal or blocking your screen during background tasks like fetching and pushing, this tool runs operations quietly in the background so you can keep navigating without pause. It even introduces native text selection to copy clean diffs straight from the terminal window. It is the ultimate lightweight upgrade for terminal-focused developers who want absolute control over their Git flow.

📰 https://news.ycombinator.com/item?id=48980506

🆔 @hackernewsgithubprojects

📦 penecho/penecho

PenEcho Infinite AI Canvas

Work through your toughest problems on a massive, zoomable digital whiteboard that actually thinks alongside you. Instead of trying to squeeze your messy thoughts into a tiny chat box, you can freely sketch diagrams, write out math equations, and scribble down handwriting with a stylus or mouse. The system instantly reads your visual layout and drops helpful answers, plots, and even interactive, animated demonstrations directly onto the canvas right next to your work. You can easily lasso your sketches to resize or adjust them before letting the AI see them, keeping your creative flow completely uninterrupted. It is the ultimate spatial scratchpad for visual thinkers.

🆔 @hackernewsgithubprojects