📦 tool-bunker/code-buster

Code Buster: Your Code's GPS

Code Buster tells an A I coding agent exactly where its changes broke the rules, all without sending your code to the cloud. It acts as a local guardrail that maps every dependency and logic cycle in your project before the agent writes a single line. Instead of guessing, it gives the machine a deterministic map of dead code and architecture violations, so it can fix errors while it still has context. It’s like giving a new intern the entire building’s blueprints before they start moving furniture. No more hallucinated imports. Just grounded, offline verification that keeps your AI honest and your codebase clean.

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📦 igtoth/tracedraw

TraceDraw: The Vector Editor Rebuilt in Rust

TraceDraw is the open-source vector editor that finally brings full-featured illustration to your browser and desktop without bloat. This project is a clean-room rewrite of a classic drawing suite, built entirely in Rust to run natively on Windows, macOS, Linux, and even in your web browser via WebAssembly. It solves the problem of heavy, proprietary software by offering a lightweight, native experience that still handles complex tasks like live effects, page layout, and print-ready PDFs. The most surprising part is that it natively opens and writes Corel Draw files, meaning you can swap between old projects and this new tool without losing your work.

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📦 vsmutok/ytscrape

ytscrape

ytscrape lets you pull raw data from YouTube without the usual hurdles. It skips the need for an official API key and avoids the slow, clunky process of running a fake browser in the background. Instead, it talks directly to the same internal data routes that the website itself uses. This means you can grab search results, video details, and even the full text of every comment and caption in seconds. It is a clean, lightweight way to collect information for research or building tools, giving you actual data without the heavy setup or constant worry about hitting usage limits.

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📦 hao-ai-lab/ora

ORA: Letting Open Models Drive Robots

An open-weight language model just picked up a robot arm and started solving physical puzzles without a single line of robot-specific training code. This project, called ORA, acts as a bridge that lets standard AI models operate physical robots on the fly. Instead of needing expensive, custom-trained programs for every new task, the system simply gives the model tools to see the world and move its limbs. It then figures out how to stack blocks or pour liquid entirely on its own. This is huge because it proves that general intelligence can handle real-world physical actions without years of specialized data collection.

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📦 alibaba/last-secure-code-benchmark

Do AI Coders Break Security?

Watch top AI coding agents fail to write safe code when left alone. The Last Secure Code Benchmark tests if these models can rebuild a project without accidentally leaving a hole in the door. Here is the wild part. Even the best models only pass every single security check on a quarter of the tasks. This happens because the tests never tell the agent to think about safety. They just ask for working code, then secretly try to hack the result. It turns out that building something that runs correctly is not the same as building it safely.

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📦 dmitryryabkov/local-ai-mac

Run a 128K AI on a MacBook

Turn a spare Mac into a private AI server that handles massive context windows without ever sending your data to the cloud. Local AI Mac is a practical guide that shows you exactly how to squeeze real power out of Apple’s unified memory. The coolest part? You can run a thirty billion parameter model with the same one hundred twenty eight token context as top cloud services, all locally. This means your code and chats stay on your machine, and you stop paying per token. If you have thirty two gigabytes of RAM or more, you can actually do this.

📰 https://news.ycombinator.com/item?id=47754997

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📦 arnaudguiovanna/tutor-mcp

Tutor MCP: The AI Tutor That Actually Grades You

Your AI assistant just started refusing to let you guess your way through a lesson. Tutor MCP is an open source tool that plugs into any large language model to turn it into a strict, scientific tutor. It doesn't just chat; it maps your knowledge into a graph and uses fifty years of cognitive science to track exactly what you know. If you guess wrong, it freezes your progress and forces you to practice until you actually understand the material. It’s like having a patient professor who remembers your mistakes and schedules reviews so you never forget them.

📰 https://news.ycombinator.com/item?id=49744316

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📦 plotarmordev/drama-tensorfold

Drama Tensorfold: 3.7x Faster Voice on DGX Spark

Run Fish Audio's Drama three locally on a DGX Spark and get your first audio chunk in just fourteen hundredths of a second. That is the single coolest thing in this repo: a patched engine that makes text-to-speech respond almost instantly while staying under forty-eight seconds for long-form audio. It cuts the time to generate a typical eight-second clip by nearly half, turning a sluggish local server into a snappy, responsive tool for real-time apps. The repo includes the exact engine patches, build recipes, and benchmarks so you can verify these speed gains on your own hardware.

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📦 punchisoft/punchi-dock-remastered

Punchi Dock Remastered: Audio Visualizer for Linux

Punchi Dock Remastered turns your Linux dock into a live audio visualizer by reading your system's sound output through PipeWire. The dock icons themselves become the spectrum analyzer, displaying real-time sound waves in six different styles. It’s not just a pretty effect; the whole dock is a native, customizable workspace for apps, folders, and media controls. It blends seamlessly into KDE Plasma, letting you drag, drop, and organize your desktop with fluid animations. If you want your Linux desktop to feel as alive as your music, this is the tool to try. It’s a genuine step forward for desktop aesthetics.

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📦 microsoft/intelligent-terminal

Intelligent Terminal: Your Command Line Gets a Brain

Microsoft is embedding a full artificial intelligence assistant directly into the command line interface of Windows Terminal. This project, called Intelligent Terminal, turns your standard text console into a workspace where you can talk to an A.I. agent without leaving your scripts or logs. Instead of switching tabs to a browser, you get a native sidebar right next to your code, letting you ask questions or run commands while keeping your context in view. It is the first time a major operating vendor has made the terminal itself the primary interface for A.I. interaction.

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📦 lightorigins/lightnav-0

One Model, Four Robots: LightNav Zero

Drive four completely different robots through an unseen park using just a single camera and a sentence. That is exactly what LightNav Zero does. It takes a standard vision language model and teaches it to understand space, so it can follow instructions, find objects, and track people without needing special parts or depth sensors. The model looks at your camera feed, figures out where to go, and sends simple waypoints to the robot’s controller. You can try it right now in a browser simulator, no GPU required. If you are building autonomous agents, this is the bridge between knowing what is in a room and actually moving through it.

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📦 phoneuse-official/phoneuse

PhoneUse: Control Your iPhone With AI

PhoneUse turns your Mac and USB cable into a remote control for a real iPhone, letting you type plain English commands that an AI agent executes on the physical device. It solves the friction of testing mobile apps by letting you automate taps, scrolls, and text entry locally without cloud servers. The coolest part is watching the live screen mirror update in real time as the AI navigates your actual phone. It is a developer tool, not a magic trick, so you still need to trust the process.

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📦 nondeletable/comfylauncher

ComfyLauncher

ComfyLauncher is the desktop tool that finally stops portable ComfyUI from hijacking your main browser. Many artists run multiple separate versions of ComfyUI to avoid conflicts, but the standard setup forces a heavy, cluttered browser to open every time. This app replaces that with a dedicated, lightweight window that uses significantly less memory than a standard Chrome instance. It lets you pick from a list of saved builds, hide the messy terminal window, and even monitor the server status right from the app. If you run multiple instances, this gives you a clean, focused workspace without the extra system overhead.

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📦 ndom91/open-plan-annotator

Open Plan Annotator: Annotate AI Plans Like a Document

Open Plan Annotator stops your AI coding agent right before it writes code. Instead of a quick chat approval, it launches a browser window where you can mark up the plan exactly like a document. You can strike through parts you don't like, replace text, or add comments. The agent reads these notes and revises the plan until you approve. It runs entirely on your computer, keeping your data private. This tool turns a simple yes or no into a detailed, collaborative editing session. It is a clever way to take real control over your AI workflows. Check it out to see your plans come to life.

📰 https://news.ycombinator.com/item?id=49060901

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📦 blaiselabs/procedural-almanac

The Code Island: Procedural Almanac

A tiny piece of code can build a whole island, complete with rivers, storms, and walking deer, without using a single image file. That is what procedural almanac does. It is a collection of over one hundred sixty small tools for drawing and animating on a computer screen. Instead of giving you a finished engine, it gives you the specific math behind things like how water ripples or how a leg steps. The coolest part? Every single tool comes with a note telling you exactly where the math comes from. It is like a field guide for creating worlds from scratch.

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📦 floci-io/floci-az

Floci AZ: Your Free Local Azure

Floci AZ lets you run a fully functional copy of the entire Azure cloud right on your own laptop, free of charge. Instead of paying for servers or waiting for cloud credits, you just spin this up locally to test your apps against real Azure services like storage, databases, and even Kubernetes. The coolest part? It actually spins up real Docker containers for your databases and message queues, so your code behaves exactly like it would in production, but without the cloud bill. It handles authentication, networking, and deployments all in one lightweight package. No more worrying about breaking your actual cloud account during a test run.

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📦 tencentarc/looking-ahead

Looking Ahead

Make video AI that actually understands physics. Most video models just guess the next frame, which leads to weird stuff like objects vanishing. Looking Ahead fixes this by teaching the model to predict what happens a few seconds from now, not just the immediate next moment. It uses a technique called Future Chunk Prediction, which forces the model to look ahead and learn how things really move and change over time. The result is videos where things stay consistent, like milk pouring smoothly or dominoes falling in order. It’s a simple idea with a big impact, making generated video feel much more real and less glitchy.

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📦 platformatic/sqlite-js-stream

sqlite-js-stream

Keep your database safe even if your server crashes. This library, called sqlite js stream, constantly backs up your local SQLite file by copying its recent changes to a remote location like Amazon S3 or a simple folder. It does not move your whole database every time; instead, it tracks only the new data, compresses it into tiny, safe files, and uploads just those updates. This means your backup stays lightweight and fast, no matter how big your database grows. If something ever goes wrong, you can instantly restore your data from those uploaded files, guaranteeing you never lose your work.

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📦 bimsonz/keel

Keel: A Git Platform For AI Agents

Keel lets software agents push code to a Git platform that automatically checks for semantic conflicts before anything lands. Built on Cloudflare, it gives every agent a dedicated workspace and verifies that changes do not break existing assumptions. The standout feature is how it writes a test to prove a conflict exists, keeping that guard in place until a human makes a ruling. This creates a verified merge queue where only safe changes advance to the main trunk. It is an interesting look at how we might manage autonomous coding in the future.

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📦 chadyi/studyontv

StudyOnTV: Earn Your Screen Time

An entire family media center runs without a single cloud server. This Android application turns the television into a learning hub where kids must answer questions to earn their screen time. The most surprising part is how self-contained the system is. Everything from the question bank to the usage logs stays stored directly on the device. Parents simply scan a local code to manage the rules from their phone. It pauses the video player automatically during study sessions and restores it when done. It works entirely offline and keeps the data local.

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