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πŸ“¦ xiaomoboy/pi-bluebook

Pi Bluebook: Master AI Agents in Chinese

Pi Bluebook is the Chinese learning guide that turns confusing AI agent concepts into clear, checkable steps. It solves the problem of knowing how to install tools without knowing what a successful result actually looks like. The project walks you through real tasks, showing exactly what to see and how to verify completion at every stage. You get a structured path from your first simple command to complex workflows, ensuring you truly understand the logic behind the agent actions. It is not just a manual, but a practical curriculum that proves your work is done.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ eternityspring/reelbench-skills

Reelbench Skills: The Shot Breakdown Tool

Turn any finished film into a detailed shot-by-shot table without manually logging every cut. Reelbench Skills measures exact durations and camera moves, then generates a single interactive page you can open offline. It highlights the current shot as the video plays, letting you see exactly how pacing and rhythm build the narrative. It is not a code generator or a simple editor; it is a structural analysis tool that breaks down the mechanics of visual storytelling. If you are trying to understand why a specific scene feels the way it does, this is the missing piece of the puzzle.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ skyeshark/eanpa-sky

Eanpa Sky: The Realistic Skybox That Actually Works

Want your 3D games to have skies that actually look like they belong in a movie? Eanpa Sky does exactly that for Three.js developers. It creates a fully real-time, volumetric sky that handles everything from clear blue days to dark, stormy nights. The coolest part? You get to choose your planet. Stick with Earth, or jump to a sci-fi world with a red giant star and a shattered moon. It is not just pretty pictures, though. It features live weather fronts, lightning that actually hits the ground, and realistic cloud shadows that play with your scene. It is a free engine that makes your virtual world feel alive.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jiejie567/jepa-policy

JEPA Policy: The Robot Brain That Ditches Diffusion

JEPA Policy is the imitation-learning framework that skips the heavy diffusion model to train robots faster. Instead of the complex noise-based steps usually required, this system uses a single shared Transformer to predict the next robot movement and a rough sketch of what the scene looks like a moment later, all at once. This joint prediction allows the visual encoder to learn from scratch while staying efficient, meaning you get sharp, reliable motion without the computational overhead of traditional sampling loops. It is a streamlined way to teach machines physical tasks like picking and placing objects directly from video demonstrations.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ eclipse-ai4science/gradsolve

How Grad Solve Makes GPU Math Faster

Grad Solve is the GPU solver that finally makes massive differential equation ensembles fast and differentiable. It runs thousands of simulations simultaneously on your graphics card, which is great for testing how changes in one parameter ripple through a whole system. The real magic is in how it handles gradients. Instead of painfully recalculating every step to find the derivative, it records the path during the forward run and simply replays it. This record-and-replay trick cuts calculation time by up to fourteen times compared to standard tools.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ sankarh-1/demystifying-rl-finetuning

Demystifying Reinforcement Learning Fine-Tuning

Demystifying Reinforcement Learning Fine-Tuning lets you see exactly why a language model learns or fails to learn a new behavior after reinforcement training. The project uses a simple movie quote task to show that if the model already knows the answer, standard rewards work well, but if it does not, only a dense, step-by-step reward signal can teach it from scratch. This clears up a common mystery in AI development by proving that the quality of the feedback matters more than the complexity of the model.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ itsmag11/anybokeh

AnyBokeh: The Bokeh Editor

Change how a photo looks by swapping its blur for a new one, instantly. AnyBokeh lets you take any image and give it the exact focus and aperture settings of another camera shot. It uses a clever trick called optical fingerprint transfer to copy the unique way light blurs when a lens is set a certain way. This means you can make a sharp portrait look dreamy and soft, or turn a blurry shot into a crisp, detailed picture. It works on any picture you have, giving you total control over the background blur without retaking the shot.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ openbmb/shift

SHIFT: The Tiny Fix for LLM Confusion

Shift solves the headache of AI models arguing with their own training data. When you feed a large language model fresh information that contradicts what it already knows, it gets confused. Instead of rewriting the entire brain of the model, Shift adds a tiny, learnable gate to the frozen system. Think of it as a volume knob for the retrieved context. The model learns to turn the new information up or down on its own, resolving conflicts without breaking its general skills. It uses less than a hundredth of a percent of trainable parameters, making it incredibly efficient.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ cobanov/awesome-fly

Awesome Fly: The Fruit Fly Brain Map

A single fruit fly brain now has its entire nervous system mapped in enough detail to run in a video game. This curated collection called Awesome Fly tracks the explosive wave of projects using that real biological data. Instead of writing code from scratch, developers plug a digital fly brain into Minecraft, Doom, or even a stock trading bot. It turns abstract neuroscience into playable, interactive experiences right in your browser. You can watch neurons fire as the fly tries to survive or steer a car. It is not a finished product, but a living map of what is possible when biology meets software.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ openclaw/clawhub

ClawHub: The App Store for AI Skills

ClawHub turns OpenClaw into a platform where you can share specific AI abilities like a library of digital tools. Think of it as an app store, but instead of downloading a whole application, you are grabbing a tiny text file that teaches your AI agent how to handle a specific task. It solves the problem of every developer building the same custom instructions from scratch. You can now just browse, search, and install these ready-made skills with a single command. It is interesting because it standardizes how we give AI new powers, making the ecosystem grow faster.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jingyunstudio/jingyun-dsh

Jingyun DSH: Sell AI Agents in 30 Minutes

Jingyun DSH turns your custom AI agent into a sellable product with a built-in subscription system in under thirty minutes. This open-source desktop app acts as a complete business layer for your AI, handling everything from user login to payment processing and cloud syncing. It solves the tough problem of monetization by letting you package your specific workflows and sell them as distinct digital goods through a unified marketplace. You get a branded interface where your users subscribe to your specific AI skills without needing to build a backend from scratch. If you are building a niche AI tool, this is your shortcut to a real revenue stream.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ maxrave-dev/kotlin-footguns

Kotlin Footguns: Lessons from a Real Music App

Kotlin Footguns records two hundred and twenty-four specific ways that code breaks in real applications, distilled from a massive music player used by thousands of people. Instead of repeating official documentation, this collection documents the actual failures that developers paid for with crashes and failed releases. The most surprising aspect is that every lesson includes a command you can run to verify the fix on your own project. The largest section in almost every file is called Traps, detailing exactly how a technique fails in practice. This is not a theory book, but a practical map of pitfalls mined from production code.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ browser-use/agency

Agency: The AI Feed That Makes Decisions

Agency is the card feed that turns your scattered work into one-click decisions. It’s basically a personal assistant that digs through your emails, tickets, and chats to find the things that actually need your attention. Instead of you hunting for problems, it brings you ready-made fixes, drafts, or ideas on a simple screen. You just glance at the card, see the proposed solution, and click to approve. It learns what you care about and handles the busywork so you can focus on the big picture. It is the calmest way to manage your day without the chaos.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tserentserenov/fmt-exocortex-template

IWE: The Operating System for Your Mind

Your AI assistant forgets everything the moment you close the tab, leaving you to rebuild your context from scratch every single day. The IWE template solves this by treating your personal knowledge like a proper software project. Instead of letting your AI act like an amnesiac parrot, it uses a strict open-work-close ritual to ensure every session starts with full context and ends with saved progress. This turns your scattered notes into a growing external memory that actually makes you sharper over time. It is not a magic trick that thinks for you; it is a structured environment that keeps your brain and your AI in sync.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ clarklevis1995/dsh-mobile

DSH Mobile: The Native iPhone App for Your AI Agent

DSH Mobile turns your iPhone into a live window for the AI agents running on your computer, letting you see exactly what your coding bot is doing without staring at a desktop screen. It is a native iOS app that connects directly to DeepSeek Harness, streaming real-time conversations, tool executions, and performance metrics to your pocket. Instead of guessing if a long task is stuck, you watch the agent think, read files, and write code as it happens. This is the most interesting part: it gives you full visibility into the agent's execution trace, showing you the exact steps and results.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ haichaolihc/create-photo-flipbook-ui

Create Photo Flipbook UI

This tool turns your camera roll into a tangible, flip-through digital book. Create Photo Flipbook UI is a skill for AI coding assistants that automates the design process. It analyzes your images, picks a cohesive aesthetic, and builds a responsive website where you can swipe through pages like a real zine. The coolest part is that it doesn't just dump photos in; it acts as an art director, handling layout, typography, and even texture to make your trip photos look like a published gallery piece. It handles the heavy lifting so you get a beautiful, interactive result without writing a single line of code.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ miaai-lab/deepseek-v4.1-flash-exl3-2x-dgx-sparks

Run DeepSeek V4.1 Flash on Two DGX Sparks

Turn two compact DGX Spark boxes into a serious, local AI server by running the DeepSeek V4.1 Flash model with this specific setup. It handles massive context lengths and delivers fast token speeds on hardware that is surprisingly small. The trick is a specialized quantization method that squeezes the huge model into the limited memory available on these consumer cards. You get a private, OpenAI-compatible API running right on your desk, perfect for testing long-context features without paying cloud bills. It is a clever hack for anyone wanting high-end local inference without a data center. If you have the hardware, give this a try.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tobi/neohack

NeoHack: The Dungeon Crawler Inside a Library

NeoHack is the library that turns a classic dungeon crawler into a programmable engine. Most people know NetHack as a game you play on a screen, but this project wraps the entire game logic in code so developers can build their own agents. You can write a program that explores the map, fights monsters, and makes decisions without any human pressing a key. This is useful for anyone interested in how artificial intelligence learns to play games. It solves the problem of needing to manually test strategies in a complex world. By turning the game into a data source, you can study how different tactics perform.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ flizzywine/dsh-tavern

DSH Tavern

You can now edit your fictional characters by simply chatting with the AI, without touching any code. This project is a text adventure engine that runs inside DeepSeek, a specific large language model environment. Instead of manually tweaking complex character files, you just talk to the app to change who your characters are. It handles the heavy lifting of memory and story logic so you can focus purely on the narrative. It is a clever way to make interactive storytelling tools much more accessible for regular users. The biggest takeaway is that natural language is becoming the primary way we build and customize digital worlds.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ timczm/tinyagent

tinyagent: Your Personal AI Assistant in Python

tinyagent is the personal AI assistant that puts you in complete control of your digital workspace. It is a lightweight Python tool that runs entirely on your own machine, giving you a private, local agent that remembers your work, saves your conversations, and executes tasks without sending your data to distant servers. The real surprise here is that it works like a professional developer, using specific skills and memory files to help you write code, manage files, and automate tasks right in your terminal. If you want an AI that feels like a trusted partner rather than a generic chatbot, this is the one to watch.

πŸ†” @hackernewsgithubprojects