📦 what1f/kitter

Kitter: One Library for All Projects

Kitter gives you a single source of truth for the skills your AI agents need across every project. Instead of copying files everywhere, you maintain one central library and link individual projects to it. This means when you update a skill in one place, that change automatically flows to every connected project. It also shows you exactly which skills are active for each agent and estimates the context cost, helping you avoid unnecessary overhead. Built in Rust for speed, it keeps your setup clean and consistent. You stop chasing scattered copies and start managing one unified system.

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📦 browser-use/life-recorder

Life Recorder: Your Private, Local Daily Log

Life Recorder quietly turns your iPhone into an always-on memory journal that never touches the cloud. The app captures one-minute audio chunks, which are safely deleted after your Mac transcribes them locally with Whisper. This means your private conversations stay on your own hardware, resulting in a single, clean Markdown file of your day. It is not a surveillance tool, but a personal archive that runs entirely on your own devices. If you want a reliable, private record of your life without paying for cloud services, this open-source project is exactly what you need. Your memories, your data, your rules.

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📦 defileoo/yoink

Yoink: The Note App That Grades Your Guesses

Yoink is the note app that finally tells you if you were right. It works on plain text files you can open anywhere, but it adds a layer that grades your predictions. You write down a guess with a confidence level, and when the date arrives, it checks the real world data to see if you hit the mark. The best part is the scorecard. It calculates exactly how overconfident you are by comparing your stated confidence against your actual accuracy. It is not just a to-do list; it is a mirror for your judgment. If your notes are just collecting dust, it shows you exactly which ones died.

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📦 yusu-02/yusu-whatdreamscost-comfyui

Yusu What Dreams Cost ComfyUI: The Ultimate Video Timeline Tool

Stop wrestling with messy video timelines. This tool, known as Yusu What Dreams Cost ComfyUI, turns your chaotic mix of clips, audio, and images into a perfectly synced, professional edit. The coolest part? It automatically calculates the total duration based on your longest media, so nothing gets cut off or left dangling. It’s like having a super-powered editor who never sleeps. No more guessing frame counts or manually syncing tracks. Just drop your assets in, watch the magic happen, and export a flawless result. If you are creating AI videos, this is the one tool that makes the process actually enjoyable and stress-free.

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📦 sergiuszm/ninfer-4090

Run a 27B Model on One GPU

Ninfor forty ninety lets you run a massive twenty seven billion parameter language model on a single consumer graphics card, specifically an RTX 4090. Most people assume that running such a large model with its huge context window requires a rack of servers or a multi-thousand dollar workstation. This project solves that by squeezing the model into the available memory using a clever compression trick that stores the model's memory in a highly efficient format. It doesn't just run, it runs fast, hitting speeds that make real-time coding assistance actually feel responsive.

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📦 iwtbs27/collab-agent

Collab Agent: One Agent, Every Screen

Collab Agent makes a single A.I. brain work across your web browser, desktop apps, and command line at the same time. Instead of one bot stuck in one window, a team leader agent breaks your task into pieces and hands them to specialized workers who actually click, type, and code where they belong. The coolest part is that these workers pass real files and notes to each other, so if one gets stuck, another can pick it up. It is a lightweight system for getting complex digital work done without babysitting every step. If you want your A.I.

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📦 iiiiiiirene/learnibridge

LearniBridge: Faster AI Video

LearniBridge makes AI video generation significantly faster by fixing a critical flaw in how previous speed-up tricks handled data. Standard caching methods just copy old data, which causes blurry or broken images when you try to go really fast. This project learns a small, smart correction that fixes that damage using only three to five training examples. It skips heavy calculations entirely and replaces them with a quick, lightweight adjustment. The result is a massive speed boost for top video models without sacrificing quality. It is a clever way to make high-end AI tools run much faster on your hardware.

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📦 werwolv/riscv-emulator

riscv-emulator

Boot a full Linux kernel inside a C++ program you can actually read. This RISC-V emulator simulates a thirty-two-bit processor from scratch, handling memory and interrupts so real operating system code runs right in your browser or on your desktop. Instead of just running binaries, it lets you see exactly how the machine talks to the hardware, making it perfect for understanding how computers actually work. You get to witness the magic of virtual memory and page tables without needing a physical chip. It is the fastest way to learn how the low level bits and bytes fit together into a working system.

📰 https://news.ycombinator.com/item?id=49603397

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📦 mic-dkfz/fedsegnoisebench

FedSegNoiseBench: Testing AI on Messy Data

FedSegNoiseBench is the benchmark that finally tests medical AI against the messy reality of human error. In real hospitals, doctors rarely agree on exactly where a tumor starts and ends, creating noise that breaks standard training. This tool fixes that by pairing six diverse datasets with four distinct ways that data gets corrupted across different servers. Instead of relying on fake errors, it measures how well specific algorithms handle these real-world imperfections. The result is a clear guide showing which strategy actually works best when the labels are wrong. If you are building health AI, this is the map you need to find the path forward.

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📦 najmuzzaman-mohammad/gawkbot

gawkbot: The AI That Builds Its Own Dashboard

Turn your manual chores into live, interactive dashboards with gawkbot. It grabs a workflow you describe and builds a dedicated mini-app to run it automatically on your own computer. The coolest part is the approval gate: it handles the reading and thinking, but it waits for your click before touching any external system. This gives you a false sense of control, which is exactly the point. Your bots work around the clock, but you stay in the loop. It’s a clever, self-hosted way to automate the boring stuff while keeping your hands on the wheel. Check it out.

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📦 maxhu-xuan/artifactproof

Artifactproof: Verify your PowerPoint integrity offline

A tiny Python tool lets you cryptographically prove that the PowerPoint file you are about to send is the exact same one that passed quality control. Artifactproof creates a signed receipt bound to the specific file contents and structural checks you ran previously. If anyone swaps the file, changes a slide, or tampers with the evidence, the tool instantly detects the mismatch. Everything runs locally on your machine without an internet connection, ensuring your data never leaves your hands. It is a simple, offline guard against accidental or malicious file swaps right before delivery.

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📦 ljx-chase/research-field-onboarding

Field Onboarding: The AI Skill That Teaches You Step By Step

Field Onboarding is an AI skill that refuses to lecture you until it knows exactly what you already understand. Most assistants blast you with twelve unexplained terms, leaving you stranded, but this project forces the computer to pause and ask where you stand first. It builds a personalized ladder of concepts, teaching only one rung at a time and checking your understanding with real diagnostic questions rather than vague prompts. It also guarantees that every paper it cites is either verified in the moment or explicitly labeled as unverified, so you never waste time chasing a ghost reference.

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📦 benyronald77/uajy-academic-rag-chatbot

The campus chatbot that never lies

Stop guessing which university rule applies to your scholarship. This project builds a chatbot that reads the official academic handbook for Universitas Atma Jaya Yogyakarta so you get straight answers. It scans the full PDF, breaks it into pieces, and stores them in a local index. When you ask a question, it finds the exact matching text and sends only that to the AI. The result is an answer that cites the specific page number, so you can verify it yourself. If the document doesn't contain the answer, the bot admits it instead of making something up.

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📦 yean-sec/strikeagent_atkbrain-flash

StrikeAgent: The AI Pentester That Learns From Every Attack

StrikeAgent is the AI penetration testing platform that actually remembers how to break things. Developed by the Yean team, it stops treating hacking like a simple script and instead builds a living attack map. The standout feature is its self-evolving loop. After every scan, the system distills successful techniques into a shared memory library. This means the next attack starts smarter than the last one. It is not just guessing; it is learning. The team focused heavily on accuracy, adding a double-verification step to ensure reported vulnerabilities are real. It turns chaotic security testing into a precise, improving process.

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📦 openwam-official/openwam

OpenWAM: The Modular Robot Brain

OpenWAM has trained a single robot policy on six thousand hours of human and robot video. It is a free toolkit for building world action models, which are AIs that learn to move by understanding how the physical world behaves. Instead of treating the AI as a black box, it breaks the system into modular parts so you can swap out different video backbones and test them against eight major robot benchmarks. This open approach lets researchers see exactly how the model learns to connect what it sees with the actions it takes. It is a serious, systematic way to build robots that actually understand their environment.

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📦 kjgx66f/usque-custom-pro

Usque MASQUE Pro: One-Click WARP Config Tool

Usque MASQUE Pro is the browser tool that turns complex Cloudflare WARP setup into a single click. It solves the headache of manually editing technical files for secure networking by registering your device and generating compatible settings for major clients like Clash and Shadowrocket directly in the browser. The standout feature is its smart traffic routing, which automatically directs specific apps like Netflix or GitHub to the best available node while keeping other traffic direct. This removes the guesswork from configuration and ensures your connection works without constant tweaking. If you want a clean, automatic setup for your proxy tools, this is the practical choice.

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📦 buzzkit-dev/buzzkit

BuzzKit

BuzzKit is the open source notification orchestrator that handles the entire journey of a message for you. It solves the messy problem of connecting directly to every single delivery service by acting as a central hub. You just report user events, and the built in workflows decide exactly what to send and when. This means you get automatic retries, scheduling, and delivery tracking without writing custom code for each channel. It currently supports iOS push notifications, with email and Android coming later. For developers who want reliable messaging without the boilerplate, this is a powerful, self hosted option worth watching.

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📦 forsy-ai/biosecurity-agent

Biosecurity Agent: Your AI Guardian

Track the biological health of anything you care about. This local tool turns any target, like your family or a specific plant, into a live security world. It watches news, scientific papers, and public data to spot threats before they happen. The most surprising part is how it simulates the future. It predicts where a risk might travel in the coming days, then recommends specific actions to stop it. Everything runs on your machine, keeping your data private while giving you a clear, evidence-based view of what could go wrong. It is not just about monitoring; it is about preparing.

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📦 huawei-bayerlab/marigold-v2

Marigold V2: One Image, Full Depth

Turn any single photo into a full 3D depth map, and do it on your own laptop. Marigold V2 takes a standard image and reconstructs exactly how far every pixel is from the camera, capturing hair-thin details like fur and sharp edges. The coolest part? You can train the model in under a week on a single consumer graphics card, meaning no expensive server farm is required. It’s a practical, high-quality tool for anyone needing spatial data from flat pictures. Just point it at an image, and get a reliable 3D view. It’s surprisingly accessible for independent developers.

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📦 xzf-thu/voicemem

VoiceMem: The Voice Assistant That Actually Remembers

VoiceMem gives real-time voice agents a permanent memory that tracks not just what you say, but how you feel while you are saying it. The project splits this knowledge into two distinct streams, with one side holding factual details and the other capturing emotional context. The entire process happens in a continuous flow, meaning the system retrieves relevant memories before you even finish speaking. This architecture keeps response times incredibly low while using a tiny fraction of the data required by standard tools. It is a practical, fully open-source solution for building assistants that truly understand you over time.

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