📦 keltokhy/jgrep

grep, but you describe the meaning

A command line tool called jgrep lets you filter data by meaning instead of matching exact words. You type a plain description, like a user is getting frustrated, and it uses a fast, tiny artificial intelligence to judge if each line fits that idea. It works in about two hundred milliseconds and costs less than a thousandth of a cent per line. That means you can pipe live logs through it and get instant, natural language results. It turns the old search command into something that actually understands what you are looking for. You stop hunting for specific keywords and start finding the stories behind your data.

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📦 shinshin86/still2rig-psd

Still2Rig PSD: The AI Tool That Animates Your Anime Art

Still2Rig PSD is the automated workflow that turns a single static anime character image into a fully layered and motion-ready file. The tool connects to a secure cloud computer to run a specialized model that splits your picture into individual parts, like hair and clothing, without you touching a single slider. It then assembles these pieces into a structured document and runs strict checks to ensure the layers align correctly. You can even preview the motion right in your browser before exporting. It is a clever way to bridge the gap between static art and animation without manually separating every pixel yourself.

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📦 yedp123/comfyui-yedp-uv-painter

ComfyUI Yedp UV Painter

Paint textures directly onto your 3D models using AI, right inside ComfyUI, without ever leaving your browser. ComfyUI Yedp UV Painter lets you isolate specific parts of a complex mesh, like a belt or a shoulder pad, and generate unique textures for each one independently, just like working with layers in Photoshop. The coolest part is the live sketch tool: draw hard-surface details directly on the two-dimensional map and watch them project onto the three-dimensional geometry in real-time. This is perfect for artists who want precise control without needing a massive graphics card, as it runs smoothly on modest hardware.

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📦 shitagaki-lab/see-through

See-Through: Turn One Anime Image Into 23 Layers

Turn a single static anime drawing into a fully manipulatable twenty-five-dimensional model with just one click. This open-source research tool, known as See-Through, takes a flat illustration and automatically slices it into up to twenty-three distinct semantic layers, handling everything from hair and eyes to clothing and accessories. It solves the tedious, manual labor of separating character parts and filling in hidden areas by guessing what lies behind overlapping objects. You get a professional-grade layered file ready for animation, effectively skipping the most boring hours of traditional character rigging. It is a clever bridge between a flat sketch and a live, moving avatar.

📰 https://news.ycombinator.com/item?id=47587319

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📦 billy-enrizky/openbrowser-ai

OpenBrowser: The AI That Codes Your Way Around the Web

OpenBrowser is the browser automation framework that lets an AI write its own Python code to do the clicking for you. Instead of guessing where a button might be, the large language model generates actual code to interact with the page in a persistent workspace. This means it can navigate complex sites, fill out forms, and scrape data with the precision of a developer, not just a script. It works directly with your existing browser, so you can watch it think, type, and extract exactly what you need.

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📦 sharziki/semdecide

SemDecide: grep for meaning in your terminal

Pipe text into SemDecide and get a typed semantic decision back, right in your terminal. It acts like grep for meaning, letting you ask if a log entry describes an account takeover or if a customer is about to churn. The tool returns a clear verdict with a probability score and a stable exit code, so your shell scripts and CI pipelines can handle AI judgments without messy parsing or flaky glue code. It keeps uncertainty visible, so you never accidentally treat a low-confidence guess as a hard fact. It’s a slick way to bring semantic intelligence into Unix workflows without writing prompts.

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📦 openrsi-foundation/openrsi-index

OpenRSI Index: Can AI Do Real Science?

Test whether AI can actually do original research, not just follow instructions. OpenRSI Index is a growing collection of hard, real-world scientific tasks designed to see if AI agents can push the frontier of knowledge instead of just repeating known results. The coolest part? It runs these tasks on massive clusters of GPUs, like hundreds of them, to handle genuinely complex problems like optimizing training for huge language models or improving video understanding. Think of it as a stress test for AI's ability to be a real researcher. It’s not about speed or simple math; it’s about sustained, high-level scientific progress.

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📦 contrastive-lm/clm

CLM: The AI That Decides at Light Speed

CLM is the fast decision engine that picks the right action in milliseconds without the usual heavy lifting. Instead of a massive model thinking through every step, it uses a clever trick to instantly match the current situation with the best possible move. This makes it perfect for real-time tasks like playing games or quickly checking if your code is correct. You can even plug it into your own projects to make your bots smarter and way cheaper to run. If you need an AI that acts on instinct rather than slow reasoning, this is the tool to watch.

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📦 mihailescu2m/llama.cpp

Run Huge AI Models On Your Mac

llama.cpp is the C engine that lets your laptop run massive AI models that are far too big to fit in its memory. While most software demands expensive cloud servers for these tools, this project streams the model's heavy parts directly from your hard drive as you need them, letting you run a two hundred billion parameter model on a standard Mac with just sixty four gigabytes of memory. By treating your disk speed as the real limit rather than your memory, it opens the door for local, private, and massive language processing on hardware you already own.

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📦 midspiral/lemmascript

Lemmascript: Proving TypeScript Code

Lemmascript lets you write ordinary TypeScript while proving your code is actually correct. You add simple comments to your files describing what should be true. The tool then turns your TypeScript into a format that a formal proof checker can analyze. It hands off your logic to serious verification engines to confirm that your functions behave exactly as intended. If the math checks out, you get a guarantee that your logic is sound. This is huge for developers who want certainty without rewriting everything in a new language. It bridges the gap between daily coding and deep verification.

📰 https://news.ycombinator.com/item?id=47849102

🆔 @hackernewsgithubprojects

📦 geastack/examples

GeaStack Examples: Run One App Everywhere

Take a single piece of code and run it on a browser, a tiny microcontroller, or a custom operating system without touching a single line. GeaStack Examples is a collection of ready-made demo apps that prove exactly how that works. The coolest part is the manifest file inside each app. It is just a simple list that tells the system where the app lives and what hardware it can run on. No more juggling separate builds or rewriting logic for different screens. One project, one set of rules, infinite targets. If you want to build software that truly doesn't care where it runs, this is your cheat sheet.

📰 https://news.ycombinator.com/item?id=49807021

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📦 samyost1/3dicon

Make Animated 3D Icons with AI

Drop in a single text prompt and get a finished, transparent WebP icon that loops perfectly inside your app. This tool is a skill for Claude Code that handles the entire workflow, starting with a generated image and using a clever trick to make the video loop seamlessly by matching the first and last frames. It also handles the tricky background removal mathematically to ensure soft edges stay clean, so you are not left with ugly halos around your icon. You stop for approval after every major step to avoid wasting money, giving you total control over the final result.

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📦 agent-substrate/env

env: The Remote Workspace That Wakes Itself

env is the environment manager that lets you run code in remote workspaces that pause and resume themselves. It solves the problem of keeping expensive compute jobs running without wasting resources. Instead of a server that stays on constantly, this system checkpoints your work and sleeps the machine. The surprising part is that it wakes up automatically. When you send a simple command to a paused workspace, the system boots it back up in the background. No manual restart buttons required. This creates a flexible setup for developers who need to run long tasks. The takeaway is simple.

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📦 nahid-sparktales/agent-dispatcher

Agent Dispatcher: Your AI's Project Brain

Stop making your AI guess which files matter. Agent Dispatcher acts as a smart router that scans your codebase to pull up only the exact lines of code and project notes your AI actually needs. It pairs every task with a specialized role, so debugging a bug gets a debugger, while writing docs gets a writer. This kills the chaos of context overload, ensuring your AI works with precision instead of confusion. If you want your AI to work smarter, not just harder, this is the missing piece.

🆔 @hackernewsgithubprojects

📦 vmvlab/us-vla

US-VLA

Scan a human liver and kidney with a robot arm, guided entirely by live video. US-VLA is a new model that teaches a robot to perform abdominal ultrasound exams by watching the screen in real time. It combines standard camera views with the actual ultrasound feed to understand exactly where the probe needs to move. This means the robot can capture the five standard medical images on its own, without needing a human doctor to manually guide the probe. By turning a complex medical task into a simple visual goal, it paves the way for automated, consistent scans.

🆔 @hackernewsgithubprojects

📦 driceroland/search

Search: The 3 MB Browser That Actually Respects You

Search is the tiny web browser that finally treats your Mac like a tool, not a trap. It skips the bloated Chrome engine entirely to ride on WebKit, which means the whole app weighs just three megabytes and opens before you can blink. The coolest part? It runs Chrome extensions right on Safari’s engine, so you get your favorite add-ons without dragging in a second, heavy browser. There is no account to sign into, no cloud sync, and no data phoning home. It is just a fast, quiet window where you can hide annoying overlays, float videos, and read articles without the noise.

📰 https://news.ycombinator.com/item?id=49828120

🆔 @hackernewsgithubprojects

📦 fank1/foot-cream

Footcream: Read books in your units

Footcream is the KOReader plugin that finally lets you read English books in the units you actually think in. It scans your book once and converts every measurement, turning phrases like six feet into point one eight meters right on the screen. The best part is that it runs entirely on your device, so you need no internet and no account. It gets smart enough to tell the difference between pounds of weight and pounds of money, ensuring it only converts what matters. This small tool removes the mental math from your reading, letting you enjoy the story without pausing to calculate distances or temperatures in your head.

📰 https://news.ycombinator.com/item?id=48760335

🆔 @hackernewsgithubprojects

📦 met4citizen/headaudio

HeadAudio: Real-Time Browser Lip-Sync

HeadAudio makes your 3D character talk in real time by simply listening to any audio stream right inside the browser. Instead of needing a text transcript or server calls, this tool analyzes the sound waves directly to figure out which mouth shapes to draw. It runs entirely on your device, so it’s fast, private, and works with any voice source you have. You just connect the audio and let the software handle the rest. It’s a clever way to bring avatars to life without the heavy lifting. If you want your characters to speak naturally, give this a try.

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📦 zeronsh/zeron

Control All Your Coding Agents From One Place

Zeron lets you run and steer multiple independent coding agents from a single native interface, even on a server without a screen. It handles complex background work on remote machines while you simply read the output or send new instructions from your laptop or phone. This design keeps your local files private by default, with optional secure syncing across your devices. You get a unified view of all your automated tasks, solving the chaos of managing separate terminal windows for every different tool. It turns fragmented agent management into a single, coherent dashboard. If you use multiple coding assistants, this is how you keep them all in check.

🆔 @hackernewsgithubprojects

📦 atomicstrata/llm-wiki-compiler

llm-wiki-compiler

Raw text files do not naturally remember where facts come from, but this compiler fixes that by turning loose documents into a permanent, interconnected map. It reads your source materials once and builds durable wiki pages that permanently link every claim back to its exact origin line. Instead of your AI tool guessing through a pile of messy files every time you ask a question, it queries this pre built structure for answers that are already verified and cited. You get a stable knowledge base that stays accurate even as new information arrives. It is not just a summary generator; it is a memory system that knows its own evidence.

🆔 @hackernewsgithubprojects