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πŸ“¦ rsi-gear/gear

How Gear Makes AI Agents Better

Gear is the optimization framework that treats your AI agent's instructions as an evolving experiment. Instead of manually tweaking prompts until things work, Gear runs a two-step process where a meta agent tests different setups, analyzes exactly where the agent failed, and proposes better versions of the tools and rules. It’s like a fitness coach for your AI, but for logic. In one test, it boosted a smaller model’s success rate from twenty-seven to fifty-three percent by simply refining the workflow. You stop guessing what to change and start letting the data show you the best way to fix the agent, making it actually useful for real work.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ featherless-ai/simple-jev

Simple Jev: How to Make AI Answer Instantly

Turn any standard language model into a lightning-fast decision engine. Simple Jev stops the computer from guessing one word at a time and instead reads the model's internal confidence scores to answer questions instantly. It turns raw data into clear choices or ratings without slow text generation. This means you can get structured answers like 'red' or 'true' in a blink, rather than waiting for a full paragraph. It’s a clever way to use existing models for fast, reliable logic checks. If you want your apps to make quick judgments on data, this is the tool to watch. It’s fast, it’s open, and it’s ready to try right now.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tcballard/build-omarchy-plugins

Build Omarchy Plugins: The AI Toolkit for Desktop Widgets

Build Omarchy Plugins is the AI agent toolkit that turns complex desktop widget development into a simple, guided workflow. It solves the headache of building for the Omarchy shell by teaching coding assistants how to handle tricky details like screen layouts, theme colors, and background processes. Instead of guessing, you get a set of smart skills that guide your AI helper through designing, writing, and testing your plugin step by step. This means you can create polished, professional desktop tools without needing to be a deep systems expert.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jiahao620/sam3d-part

SAM3D-Part: Click to Isolate Any 3D Part

SAM3D-Part is the 3D tool that lets you grab any piece of a model with just a click. You know that annoying problem where you need to separate a chair leg from the rest of the frame, but the software treats the whole thing as one giant block? This project solves that by letting you click on the part you want in a simple view. It then spits out that specific part as its own clean mesh, perfectly positioned where it belongs. It’s basically magic for designers who need to tweak or replace just one component without destroying the rest. One click, one isolated part, done.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ rice-robotpi-lab/robotok-code

RoboTok: The Internet-Scale Hand Motion Engine

RoboTok acts as a massive search engine for human hand movements, scanning the internet to find videos where people demonstrate specific dexterous tasks. Instead of relying on slow, manual coding, it uses advanced math to map the three-dimensional shape of your hands against a huge database of real-world examples. This allows robots to learn complex grasps and manipulations by simply watching how humans naturally move. The project solves the tricky problem of teaching machines fine motor skills by turning scattered web footage into a clean, trainable dataset. It is a clever bridge between raw video and robotic intelligence, proving that we can learn by observation.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ aycibatuhan/nervous-system-atlas

Nervous System Atlas: The 3D Brain That Teaches You

Nervous System Atlas is the browser-based tool that finally makes complex brain anatomy click. It runs entirely in your browser with no account or server, letting you explore over five hundred interactive models alongside real MRI slices. The coolest part is the lesion mode, which dims the scene to show exactly how a specific injury impacts the body, turning abstract text into a clear visual story. It even includes a quiz to test your knowledge. So, if you want to understand how the brain actually works without drowning in textbook jargon, this is the one tool you need to check out today.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ vmdeshpande/ai-agent-automation

AI Agent Automation

AI Agent Automation lets you build AI workflows you can actually see and replay, not just trust blindly. It gives you a visual builder where you drag steps together, like sending an email or calling a model, and every single run is logged with inputs and outputs so you know exactly what happened. Because it is self-hosted, your data stays on your own servers, which is huge for privacy. If you have ever wondered why an AI did what it did, this is your answer. It turns unpredictable chatbots into transparent, inspectable tasks you can debug and rerun, giving you real control over the automation.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ zaidmukaddam/fx-ui

fx-ui: The Desktop Home for Your Coding Agent

fx-ui is the desktop app that finally gives your coding agent a real workspace instead of a terminal window. It runs locally on your Mac, letting you talk to AI models like Grok or Codex through a clean interface where you can manage files, run code, and see every change your AI makes in a split view. The most surprising part is how it handles images, bypassing standard limits to let the model actually look at visual files. It is built for developers who want their AI assistant to feel like a proper software tool, not just a chatbot.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ mac-automl/omniscope

Omniscope: Video AI Without the Lag

Processing long videos with AI models is usually a computational nightmare because the sheer volume of data chokes the system. Omniscope solves this by cleverly compressing the video and audio signals separately, which means your AI can understand entire scenes without bogging down. This approach is a big deal because it lets massive models handle real-time media without sacrificing accuracy. It is a brilliant way to make intelligent video processing actually feasible for everyday developers. If you want to build smart applications that watch and listen at once, this is the tool that makes it possible. Check out the repository to see how it works in action.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ zostaff/agent-arena

DEGEN VILLAGE: The Trading Game

Build a trading bot in a cozy isometric village where you tune strategies in a forge and watch them trade with virtual funds. DEGEN VILLAGE is a free browser game that turns trading parameters into visual upgrades, letting you experiment with virtual money without risking a cent. The coolest part is the fly swarm, where four animated flies sit at monitors, their wings and legs moving in sync with live market data. It is a playful way to learn how trading works, proving you can build a strategy that actually makes money on paper. It is a clever, low-stakes sandbox for anyone curious about how markets move.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ theseus-labs-rsi/awesome-rsi

Awesome RSI Maps AI Self Improvement

A single repository now organizes five hundred and nineteen academic papers into a clear hierarchy of how artificial intelligence systems can improve themselves. This curated collection solves the chaos of fragmented research by mapping every study to a specific level of autonomy, ranging from simple task adjustments to changing the very mechanism of learning itself. It is interesting because it moves beyond vague hype to define exactly what self-improvement means in practice. The project includes a companion survey that frames this capability as a roadmap, helping researchers distinguish between minor optimizations and genuine, persistent changes to an AI’s core architecture.

πŸ“° https://news.ycombinator.com/item?id=49693565

πŸ†” @hackernewsgithubprojects
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πŸ“¦ yuvrajsingh-mist/smolcluster

Smolcluster: Train AI on Your Desk

Train and run large language models directly on the hardware already sitting on your desk, turning a mix of Mac Minis and Raspberry Pis into a single, powerful computer. Smolcluster solves the problem of needing expensive, dedicated data centers by using simple socket connections to split the heavy lifting of neural network training across whatever devices you own. The coolest part is how it finds and links these machines automatically, meaning no messy manual IP configuration or complex setup steps are required. You get a live view of your cluster and can launch different training algorithms without changing your code.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ markfulton/ai-employees

AI Employees: Your Open Source Digital Staff

AI Employees is a set of plain text files that turn your existing AI agent into a full-time business worker on your own computer. This is the wild part: it does not just chat with you; it actually drives your web browser to fill out forms, draft emails, and manage your website, exactly like a human would. The most surprising feature is that these digital staff get smarter at your specific business every single time they run. If a webpage changes, the AI updates its own instructions so it keeps working without breaking. You do not need to hire a new tool or learn a new language.

πŸ“° https://news.ycombinator.com/item?id=49785402

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jakubantalik/thinking-orbs

Thinking Orbs: Stop Using Generic Spinners for Your AI

Stop using generic spinners when your AI is actually doing something specific. Thinking Orbs replaces that vague circle with nine distinct, hand-tuned animations that tell you exactly what your agent is doing. Is it searching? Solving? Weaving data? Each state has its own unique motion, rendered on a standard two-dimensional canvas so it runs smoothly everywhere without heavy graphics processing. It even automatically switches between light and dark modes to match your app, keeping the visual experience consistent. You get a clear, meaningful status indicator instead of a generic loading bar, which makes your interface feel much more responsive and thoughtful.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tnt-likely/panwatch

PanWatch: Your Personal AI Stock Analyst

Run a private stock market analyst on your own computer with PanWatch. It solves the problem of constantly checking prices by letting a team of specialized AI agents watch your portfolio for you. The most surprising part is the deep dive feature: when you click an icon, a simulated investment bank takes over. One agent studies the charts, another reads the news, and they literally argue about whether to buy or sell. After a few minutes of debate, a final manager makes the call and sends the reasoning directly to your phone.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ estebanstifli/localtext2voice

Turn Books into AI Films with LocalText2Voice

LocalText2Voice is a free desktop app that takes a raw script and turns it into a finished, narrated video, all on your own computer. It solves the problem of expensive, cloud-only tools by letting you run powerful voice models locally, so your data never leaves your machine. The coolest part is the Video Storyboard feature: it doesn't just read the text, it actually analyzes the script to find characters and locations, then generates matching visuals and assembles them into a real movie. It’s like having a private film studio in your pocket, where you control every frame and every word.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ aminmgmt/backpack

Backpack: The Tunnel That Hides in Plain Sight

Backpack connects your server to the outside world, but it does something clever: it can disguise itself as a normal website. If a scanner or a network filter looks at it, they just see a standard Nginx page, completely unaware there is a high-speed tunnel underneath. It is like hiding a secret radio channel inside a standard TV broadcast. Written in Go for performance, it uses encryption to make the data look like random noise or standard web traffic, so it slips past strict internet filters that usually block these connections.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kydlikebtc/awesome-grokbot

Awesome Grokbot: 730 Verified AI Automations

The entire ecosystem of shared Grok Bot automations is now consolidated into one verified catalog called Awesome Grokbot. Instead of digging through scattered social media posts, you get seven hundred and thirty live bots that are automatically checked daily to confirm they still work. Each entry includes a clear summary in both English and Chinese, so anyone can understand exactly what each tool does. It solves the problem of broken links by immediately flagging dead bots and moving them to a separate archive. You get a clean, searchable list of real automation ideas without the noise. Stop guessing which bots are still active and start building with confidence.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ withlang-dev/open-jai

OpenJai: The Self-Hosting Language Compiler

This project is building a compiler that eventually writes its own source code in the language it compiles. OpenJai is a new systems language designed for speed and developer control, but right now it is just a bootstrap tool written in Zig. It takes your code, breaks it down into steps, and hands it to LLVM to turn into a runnable program. The crazy part? The team is writing the actual compiler logic in the new language itself, right next to the old one. It is a race to see if the new compiler can build itself without help. If it works, you get a fully independent toolchain from scratch.

πŸ“° https://news.ycombinator.com/item?id=48116458

πŸ†” @hackernewsgithubprojects
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πŸ“¦ cseti007/comfyui-crossviewwarp

CrossView Warp: The 3D Camera Orbit for AI Video

Take a standard video and physically move the camera around the subject without re-shooting. CrossView Warp is a ComfyUI node that acts as a visual depth-warp engine, letting you drag a marker on a 3D sphere to choose a new angle. It reprojects your clip into that new view, filling in the gaps where the original lens never looked. The coolest part is the live preview: you orbit the scene in real time, seeing exactly what the AI will generate before you even start. It turns a flat recording into a dynamic, multi-angle shot, solving the stiff, locked-camera problem that plagues current AI video tools.

πŸ†” @hackernewsgithubprojects