📦 sdk445/hmon

Hmon: Real-Time Linux Monitoring

Hmon is a fast, lightweight Linux system monitor built in C and ncurses. It provides real-time insights into your computer's health, tracking everything from CPU and GPU usage to memory, disk, and network activity. What makes it particularly interesting is its plugin architecture, which allows you to extend its capabilities by adding new collectors for specific metrics like Docker containers, database connections, or even cron jobs. The tool offers a clean, terminal-based interface with three distinct viewing modes: a full dashboard, a condensed Zen mode, and a dense Pro mode for detailed kernel stats.

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📦 telivityai/careerops

CareerOps: Your Personal Career Operating System

CareerOps replaces your scattered job search tools with one open-source app that remembers exactly what you do. You capture daily wins into a secure memory bank, then promote those real accomplishments into tailored resumes and interview prep without AI inventing metrics. It tracks applications, compares offers, and keeps your career data local so you own it completely. Instead of starting from a blank page every time you apply, you build a durable history of your work that actually makes the next job search easier. It is built for engineers and anyone who wants a serious record of their career.

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📦 nvidia/xr-ai

XR AI: NVIDIA's Open-Source Agent Stack for Mixed Reality

XR AI is the NVIDIA toolkit that lets developers build AI agents capable of seeing, hearing, and interacting with real-time virtual environments. Instead of just chatting, these agents can process live video, transcribe your voice, and control 3D objects using natural language commands. It connects your favorite headsets and web browsers to powerful local or cloud models, giving you a practical way to prototype spatial computing experiences. Whether you are building simple voice assistants or complex mixed reality apps, this stack handles the heavy lifting of audio, video, and reasoning so you can focus on the creative part of the experience.

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📦 infatoshi/craftax.cu

Craftax.cu: The 7x Faster Gaming AI Trainer

Craftax cu is the ultra-fast reinforcement learning toolkit that runs complex game simulations seven times faster than standard methods. It takes a classic puzzle-adventure game and moves every calculation onto the graphics card, allowing thousands of parallel worlds to exist and evolve simultaneously without slowing down the computer. Instead of training slowly on a traditional processor, this tool uses specialized graphics hardware to simulate millions of game steps in seconds, letting artificial intelligence learn strategies at incredible speed. It keeps every result perfectly accurate by double-checking its own work, ensuring that the fast training does not sacrifice quality.

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📦 hebing-sjtu/surveyor

Surveyor: Map a Research Field in Minutes

Surveyor is a research library that builds a smart map of any academic field from survey papers. Instead of drowning in endless PDFs, it treats a review article as a seed to automatically extract the entire field’s structure and core reading list. You simply paste a survey link, and the tool reads the paper’s own sections to build a taxonomy and ranks the most important references by how often they are discussed. Import a few surveys, and it calculates the true core literature that all experts agree on, letting you ask natural questions in Chinese or English.

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📦 hkalbasi/co2

CO2: C Code Meets Rust Power

CO2 is the programming language that lets you use Rust libraries directly inside your C code. Imagine writing standard C, but then suddenly being able to grab a Rust vector or a math constant without writing any messy bridges or wrappers. It keeps your familiar C syntax, so existing code still works, but it unlocks the entire modern Rust ecosystem for you instantly. Instead of rewriting billions of lines of legacy C from scratch, you can just start importing Rust crates right into your existing files. It is a brilliant way to get better tools and safer libraries without losing your current codebase.

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📦 evan-steinhilb/md2hd

md2hd Turns Your Notes Into a Living Map

Your notes are sitting there, full of connections you know are real but can’t quite see. md2hd takes a folder of markdown files and instantly draws a visual graph where your ideas become nodes and your links become the lines connecting them. It reads the frontmatter for categories and the wikilinks for relationships, building a map that updates every time you save a file. The best part is the focus mode. Click any node and the rest of the map fades away, leaving only the direct connections around it. It shows you exactly what points to that idea and what flows from it.

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📦 xoreaxeaxeax/mmiotic

Mmiotic: The Hardware X-Ray

Mmiotic is the hardware x-ray tool that reveals the invisible timing secrets of your computer’s physical memory. While most software assumes memory access is instant and uniform, this command-line utility measures the exact number of processor cycles it takes to read any physical address, turning raw speed into a detailed map of how hardware actually works. It is incredibly useful for reverse-engineering undocumented device registers, spotting hidden system boundaries, and even finding dangerous memory locations that can crash your computer with a single read. The creator calls it an exploratory tool, and it truly is, letting researchers dissect hardware behavior without needing any official manuals or drivers.

📰 https://news.ycombinator.com/item?id=49265900

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📦 andrewctf/osint-geospatial-console

OSINT Geospatial Console: The Map You Can Rewind

Rewind the entire world and own your own map history, not just view a snapshot that expires. OSINT Geospatial Console lets you track live aircraft, ships, and satellites while keeping every position fix forever on your own disk. You scrub back through time to watch exactly how a contact arrived, verify its true origin from multiple sources, and replay any moment without paying a fee or needing an account. It builds a trusted record where you control the data, so you can spot patterns and verify stories instead of trusting a temporary feed that disappears.

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📦 thebuggeddev/empire

Empire Atlas 3D Explorer

Empire Atlas is the interactive museum that lets you walk inside ancient homes across eight historic civilizations. It solves the problem of dry history books by turning architecture into a hands-on experience. You spin around a 3D model of a dwelling, tap pins to read about its rooms, and instantly see inside Roman domuses or Inca stone houses. It is fascinating because it makes learning about daily life in the past feel like playing with a digital toy rather than memorizing facts. The project is a beautiful way to finally understand how people lived in these empires by exploring their actual living spaces.

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📦 ibm/vakra

Vakra: The AI Agent Reality Check

Vakra is a benchmark that puts AI agents through a rigorous wringer to see if they can actually handle complex, real-world tasks. Instead of simple yes-or-no questions, this tool forces models to chain together multiple actions, pull data from different sources, and solve multi-step problems without getting lost. It is genuinely useful because it reveals whether an AI can truly reason through a workflow or if it is just guessing. Most benchmarks test basic chat, but Vakra tests actual capability, making it a must-see for anyone building serious AI tools.

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📦 oscabriel/skills

Skills: Your Coding Assistant’s Secret Toolkit

Pickup resumes your coding sessions from handoff notes, while Herd Flow manages parallel research workers in visible panes. Replicant roots answers in your local code clones instead of guessing, and Docs to Types translates approved design decisions into strict, compile-ready architecture before you write a single line of implementation. It is a neat collection of small, focused skills that keep your coding agent grounded, organized, and efficient.

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📦 minad/doom-on-emacs

DOOM on Emacs

Run the classic first-person shooter DOOM directly inside the Emacs text editor using a custom native module. This project brings the legendary id Software game into your coding environment by leveraging a lightweight C framework and the Emacs Canvas API for rendering. You do not need a separate game engine or window; instead, the code bridges the game’s logic with Emacs’s native capabilities through a small amount of glue code. It is a fascinating technical demonstration of how deep system:thought: The user wants a summary of the GitHub repository `minad/doom-on-emacs` in the format of a YouTube Shorts script.

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📦 andreaborio/ds4

ds4: Local AI That Streams From Your SSD

Run huge AI models on your Mac without needing expensive hardware by letting the engine stream specialized knowledge parts directly from your SSD. ds4 treats your solid-state drive as a fast extension of your memory, so even models that are too big to fit in your Mac’s RAM can run smoothly. It automatically decides which parts stay in memory and which parts stream from the disk in real time. This means you get serious performance on Apple Silicon without buying a laptop with massive memory. You get local, private AI inference that actually works on your existing machine.

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📦 entrpi/ds4

DwarfStar: Run Giant AI Models on Your Laptop

DwarfStar lets you run massive artificial intelligence models on regular consumer computers. This software is a specialized engine built primarily for DeepSeek V4 Flash, but it also supports GLM 5.2. Instead of trying to be a general-purpose tool, it focuses entirely on squeezing maximum performance out of a few specific models. You can run these huge models on high-end Macs using their native graphics chips, or on powerful NVIDIA computers for serious multi-user work. It even handles SSD streaming, meaning your computer can pull model parts from your fast storage drive only when needed, letting you run models that are bigger than your available memory.

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📦 compozy/compozy

CompozyOS

CompozyOS is the AI agent operating system that turns your existing coding tools into a coordinated team. Most agents stop when you close the terminal, but this project builds a persistent background environment where tools like Claude Code and Codex actually share memory and pass work to each other. You steer everything from a simple browser dashboard, setting up automatic loops, schedules, and permission checks that run without you watching. It solves the messy engineering problem of keeping agents reliable by giving them a shared state and clear handoffs. It is the first way to make AI assistants work continuously instead of just responding once.

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📦 golbin/hop

Hop: Open Source HWP Viewer for Mac and PC

Hop is an open-source desktop application for macOS, Windows, and Linux that lets you open, edit, and save HWP and HWPX documents—the native file formats used by South Korea’s official word processor, Hancom Office. Built with Rust and Tauri, Hop wraps around the open-source rhwp engine to provide a lightweight, cross-platform experience. It supports file associations, drag-and-drop, printing, and PDF export, making it a great free alternative for anyone who needs to work with Korean government or business documents without buying proprietary software.

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📦 willxup/cpa-usage-keeper

CPA Usage Keeper: Your AI Tool Bill Monitor

CPA Usage Keeper is the standalone dashboard that finally tracks every AI model request you send through your proxy. It silently sits in the background, pulling usage data from your CLIProxyAPI setup and storing it safely in a simple local database. Instead of staring at endless logs, you get a clean visual interface showing exactly which tools you are using, how much they cost, and how fast they are responding. It even auto-updates your account details and quotas so you never run into surprise limits. This is the perfect peace-of-mind tool for anyone running their own AI infrastructure without needing complex analytics software.

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📦 internrobotics/cortex

Cortex: How Robots Plan Like Humans

Cortex lets robots tackle multi-step chores by splitting complex goals into clear, manageable subtasks. Instead of trying to handle everything at once, a high-level planner tracks progress and updates its mental notes, while a low-level system focuses purely on physical execution. This two-brain approach solves the common problem of robots losing their place during long tasks. By verifying each step before moving on, Cortex ensures the robot remembers the correct order and recovers from mistakes. It is essentially a smarter way for machines to handle complex, real-world projects without getting overwhelmed.

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📦 microsoft/flowdagger

Teach Robots Without Replacing Their Brains

Teach robots without replacing their brains. FlowDAgger lets you adapt a frozen AI robot brain by learning a tiny steering wheel that corrects its initial guesses. Instead of rewriting the entire model, it listens to a human expert when the robot struggles, then learns to predict the specific noise input that would have led to the right move. It’s like teaching a seasoned professional to adjust their approach in real time, using only a few corrections. This clever trick keeps the original model unchanged, saving massive compute while making the robot significantly better at assembly tasks. It’s a smart, efficient way to upgrade AI behavior without starting from scratch.

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