📦 donvito/coworker

Coworker: Your Private AI Team

Your computer can now host a full team of digital coworkers that actually work alongside you. Coworker is a desktop app that runs local AI agents directly on your machine, meaning your data never leaves your hard drive. The coolest part is that these bots can remember your preferences and schedule tasks for you while you sleep. It’s like hiring a tiny, tireless office staff that lives in a folder on your desk, ready to search the web or draft files whenever you need a hand. No subscriptions, no cloud servers, just your hardware doing the heavy lifting. If you want control over your digital workflow, this is your move.

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📦 agents365-ai/365-skills

365-skills: Give your AI agent a superpower

365-skills gives your AI coding agent the ability to actually do work for you, not just chat. It’s a collection of ready-made skills that teach tools like Claude Code how to use real software. The standout feature is the scholar-deep-research skill, which lets your agent run a full, eight-stage literature review on its own. It searches academic databases, finds papers, reads them, and writes a structured report with citations, all without you touching a single button. This turns your AI from a helpful chatbot into a tireless research assistant. It’s a free, open-source library that turns your favorite coding agent into a specialized worker for science, design, and development.

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📦 baranowskibrt/onecanvas

OneCanvas: See the Whole Room at Once

OneCanvas flattens an entire three-dimensional room into a single panoramic image so a standard vision model can answer spatial questions without ever needing a dedicated 3D brain. It takes photos from many different angles, uses depth data to place every pixel in actual space, and pastes them onto one giant canvas. This lets an existing language model read that flat picture to figure out where objects are, how far apart they are, and what is to the left or right of you. It is a clever way to make a 2D model understand 3D layouts without changing the model’s architecture.

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📦 dctanner/jelly

Run your own AI agents with Jelly

Take control of your AI workforce by running persistent agents directly on your own hardware. Jelly gives you a local workspace to manage multiple AI workers, each with their own browser session and access to your files. The coolest part? If an agent needs to log into a website, it hands you the controls instantly so you can sign in yourself, then it takes over. It’s like having a digital intern that actually lives on your machine. No cloud lock-in, just your code, your data, and your rules. This is how you build a business where you own the infrastructure. Keep your data private and your agents on your terms.

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📦 idlhy0218/citation-network

Citation Network: Visualize Your Research

Citation Network is the desktop tool that turns your scattered reference library into a living, interactive map. If you research using Zotero, you know how hard it is to see the big picture. This app solves that by pulling your papers and querying the OpenAlex database to find exactly which studies cite which others. It then renders an interactive graph where you can physically drag nodes to explore connections, all while automatically writing linked notes into your Obsidian vault. The result is a clear visual of your field's structure, letting you spot gaps and trends instantly.

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📦 omarvii/shotnix

Shotnix: Your Mac’s Private Video Editor

Your screen recordings just got a built-in movie editor. Shotnix is a free, open-source tool for Mac that grabs screenshots and records your screen, but the real magic happens in its video editor. It automatically zooms in on your clicks, smooths out your cursor movements, and generates captions directly on your machine. You don’t need an account, a cloud server, or any internet connection to do this. It’s a native, lightweight app that keeps your private recordings completely private. If you make software demos, tutorials, or just need to capture a bug, this tiny utility saves you hours of editing time.

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📦 mkultraware/accuretta

Accuretta: The Local AI Workspace

Accuretta is the local AI workspace that puts the entire power of a large language model directly on your own computer without any cloud dependency. It combines a chat interface with a practical developer environment, giving the model real access to your files, a live web preview, and persistent terminals so it can actually build things alongside you. The most impressive part is how it handles long, complex tasks by automatically managing its memory and verifying its own code edits, so it never forgets what it is doing. Because everything runs locally through a lightweight Python bridge, your data stays private and you retain full control over the hardware.

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📦 nvidia-medtech/nv-reason-ct

NV-Reason-CT: The AI That Reads 3D CT Scans

NV-Reason-CT is the AI model that finally lets you chat directly with a 3D CT scan. Instead of squinting at flat images, it ingests a full 3D volume and uses a large language model to explain exactly what it sees in plain English. You can ask it to write a structured report, spot specific abnormalities, or answer detailed questions about a patient’s anatomy. It’s fascinating because it bridges the gap between complex medical imaging and natural conversation, making it easier for researchers to explore diagnostic possibilities. It’s not a replacement for a doctor, but it’s a powerful tool for understanding what’s happening inside a scan.

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📦 basecamp/once-campfire-rust

Campfire in Rust: One Binary, 95 Times Faster

Campfire in Rust is the real time chat server that finally proves a single executable can match a full Ruby stack while running up to ninety five times faster. Basecamp rebuilt their Campfire app, which powers real time messaging, from a complex Rails setup into one lightweight binary written in Rust. The defining trick is that it speaks the exact same protocols as the original, meaning it swaps out Ruby, Redis, and a separate web server without breaking existing sessions or changing the user interface by a single pixel. It even reads the old database directly, so you can upgrade without migrating data.

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📦 alextibtab/dungeons2_linux_fix

How One C File Fixes Minecraft on Linux

Minecraft Dungeons II refuses to launch on Linux because it demands a Windows-specific file that simply does not exist in that environment. This project builds a tiny, hand-written replacement for that file, allowing the game to start without touching the original code or shipping any of Microsoft's actual libraries. You run a small script once to sign into your Microsoft account, which saves a token locally so the game can verify you are who you say you are. It is a clever, minimal patch that turns a hard blocker into a simple file swap, proving that sometimes the best fix is just writing the missing piece yourself.

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📦 haolpku/omni-edu

OmniEdu: The AI Tutor That Actually Teaches

OmniEdu is an open family of AI models built specifically to teach, not just answer. Unlike general chatbots that might guess their way through a problem, OmniEdu understands the curriculum. It knows exactly what a student should learn next based on their grade level and previous knowledge. This allows it to diagnose exactly where a learner is stuck and guide them with the right hint, rather than just handing over the answer. The project provides three different model sizes, so you can run the smaller versions locally on your own computer. If you are building educational tools, this is a rare find.

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📦 junhan2/oh-my-fable

oh-my-fable: Your AI Agent Finally Works Like You Ask

Stop pasting messy notes into your coding agent and hoping for the best. This new tool takes your rough one-liner and instantly rewrites it into a clear, four-part instruction that actually works. It solves a real problem: AI models often stop halfway, rewrite entire files for tiny fixes, or just stop talking after a progress update. This plugin injects the exact working rules from Anthropic's own guides directly into your session, automatically. It detects if you are typing in a terminal or running in the background, and adjusts the rules so the agent stays on task without needing you to watch.

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📦 kindlingai/kindling-spark-os

Kindling Spark OS

A tiny operating system running next to your NVIDIA DGX Spark can give you four gigabytes of extra memory for your AI models. Kindling Spark OS is a minimal, read-only system that installs right beside the standard DGX OS on these specific boxes. It works by booting from a compact disk image that uses a special kernel setting to reclaim two gigabytes of memory, and then lends the other two gigabytes that the graphics driver leaves sitting idle. Because it stays read-only, the system resets itself to a clean state on every boot, keeping your hardware stable and identical across a whole fleet of machines.

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📦 shanghua-gao/rsi-jev

AI Agents That Retire Their Own Failed Models

Build a model that answers questions in a single lightning-fast pass without generating text. That is exactly what RSI-Jev does. Instead of a human tweaking settings, a loop of AI agents proposes new ideas and tests them on the computer. If an experiment fails, the agent records why it did not work and moves on. If it succeeds, that version becomes the new standard. The project keeps every failed attempt in the open, so you can see the exact path from a weak start to a strong result. It is a self-driving research lab that improves itself by its own measurements.

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📦 kamra-pms/kamra-pms

Kamra: The Hotel Software That Works For You

Run your entire hotel without paying per-room rent, thanks to Kamra. This free, open-source property management system handles check-ins, housekeeping, and even restaurant orders, all in one place. But here is the real kicker: it lets an A.I. agent actually work your front desk. You can connect a tool like Claude to book rooms, check availability, and audit nightly totals. The catch? The money math is locked in code, so the A.I. never guesses your taxes or rates. It is a full control center that stays yours, forever. If you run a hotel or rental, this is the software you own, not rent.

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📦 openroboto-ai/jev-robot-control

Jev Robot Control: The $0.02 Apple Test

A new language model called Jev just picked up an apple and placed it on a plate in a physics simulator for less than two cents, while a much more expensive model spent nearly six dollars to do the same thing. This repository, Jev Robot Control, pits three different A.I. brains against a virtual robotic arm to see who can actually move a real object. The models do not see video; they only read numerical data about the robot's position and guess the next small movement to make.

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📦 alexknowshtml/claude-auto-handoff

Claude Auto Handoff: The End of Context Anxiety

Claude Auto Handoff is the session manager that finally gives your AI a proper memory stick instead of a shrinking brain. It watches your context usage, and right before things get messy, it pauses the conversation to write a detailed, structured summary of exactly where you left off. It then wipes the slate clean and boots up a fresh, fully charged session that reads that note and jumps straight back into the work. This kills the annoying mid-task summarization lag and keeps your coding flow running on full steam. No more fighting the memory limit, just smooth, continuous productivity that feels like magic.

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📦 lolipopshock/pi-clm

pi-clm: The AI Agent That Edits Its Own Memory

A coding agent now holds a live file representing its own short-term memory, allowing it to rewrite, delete, and reorganize its past thoughts just like a human editing a document. This tool, named pi-clm, solves the problem of context windows filling up and crashing long sessions by letting the model decide exactly what to keep and what to discard. It acts as a self-managing librarian for the computer, ensuring the agent stays sharp without human intervention. By treating conversation history as editable text, it gives developers a transparent way to see how an AI thinks, organizes, and prunes its own understanding of a complex task.

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📦 imbutus/comfyui-minimaxdirector

Directing Video Like a Director

Stop cramming everything into one giant text box and hoping for the best. With MiniMax Director, you lay out your video like a real editor, arranging shots, camera moves, and dialogue right on a timeline. This tool takes your visual plan and compiles it into the exact structured prompt the MiniMax H3 model needs to understand. It automatically handles the tricky math of frame counts so your clip length is always valid for the sampler. You get to see the final prompt update live as you tweak your shots, meaning no more guessing if the AI understood your vision. It turns a chaotic prompt into a precise, professional shot list.

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📦 spacestate1/namco22-decompile

namco22-decompile

Classic nineties arcade games are running natively on modern computers thanks to a dedicated recreation effort. The namco22-decompile project has painstakingly decompiled the original program code for Namco System 22 arcade hits like Prop Cycle, Rave Racer, Tokyo Wars, and Dirt Dash. By translating the software back into clean C code and matching it against original hardware behaviors, developers can now compile and play these experiences directly on Linux and Windows. It side-steps traditional emulator overhead to offer features like native widescreen support, custom resolutions, and integrated controller mapping. All you need are your own original game ROM files to jump straight in.

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