📦 cerebrasresearch/reap

reap MoE Compression

Researchers can now cut the size of massive mixture of experts language models in half while maintaining near-lossless performance on complex tasks. While traditional compression techniques merge neural network experts together and cause massive drop-offs in accuracy, a new tool called reap shows that intelligent pruning is actually the superior path forward. By analyzing both router gate values and average expert activation norms, reap calculates exactly which experts contribute the least to a model's output and safely removes them. On massive neural networks, this elegant approach successfully trims fifty percent of the experts with virtually no drop-off in coding or reasoning skills.

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📦 cloudflare/nimbus

Nimbus

Build beautiful documentation sites where humans and AI agents are both treated as first-class citizens. Instead of hiding your site files inside a complex dependency, this project scaffolds a complete Astro site directly into your repository, giving you full ownership over every layout, style, and component from your very first commit. It automatically generates search-engine-friendly pages alongside agent-readable formats like LLM text files and structured data, ensuring coding assistants and AI web crawlers can navigate and understand your documentation just as easily as a human reader. You get total control to edit anything you want, backed by a powerful framework that handles the heavy lifting behind the scenes.

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📦 encod3d-sec/claudebrain

Claudebrain

Claudebrain is the interactive hacking companion that turns your personal knowledge base into an AI-powered security assistant. By combining your markdown notes in Obsidian with custom AI skills, it acts as a smart engine for penetration testers and bug bounty hunters. Instead of getting lost in endless checklists, you can ask your AI to automatically draft bug disclosures, suggest payloads, or analyze security logs using your own curated guides. It organizes complex testing methods, active directory tricks, and web attack paths into a highly searchable brain. It is like having a seasoned security partner who remembers every single exploit technique and helps you plan your next move.

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📦 thecodacus/understory

Understory

Build a self-wiring markdown memory that lets your local AI agents store, link, and organize what they learn as they work. Understory functions like a living knowledge graph beneath your models, storing every single fact as a human-readable markdown file with clean yaml formatting. Instead of dumping raw data into a basic vector database, it actively cross-links new concepts, flags broken links, and automatically weaves orphan notes back into the main structure. You can browse your memory using a gorgeous interactive force-directed graph or replay exactly how your agent navigated through its notes during a task. It runs flawlessly on local models, connects to Claude as an MCP server, and...

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📦 arman-bd/chromiumfish

Chromiumfish Stealth Browser

Most open source stealth browsers get caught by detectors because they try to hide using easily spotted JavaScript patches. Chromiumfish is different because it moves all of its fingerprint spoofing directly down into the C++ engine of Chromium itself, leaving absolutely no tampering marks for bot checks to find. It presenting a completely coherent browser identity tied to a single persona seed. Best of all, it integrates directly with Python and Node using your existing Playwright scripts, and it even comes with a natively built AI agent that can solve plain-language tasks and bypass tough bot checks on its own. Give your scrapers a genuine cloaking device.

📰 https://news.ycombinator.com/item?id=48462366

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📦 misaka-mikoto-tech/agent-skills

agent skills

If you are building AI agents to browse the web or run local commands, you need to check out agent skills. This collection gives your AI assistants superpowers, like a robust tool to read Bilibili video pages by extracting official subtitles, danmaku stats, and comments. If a video lacks subtitles, it automatically downloads the audio stream using Node modules and transcribes it locally. It also includes a bulletproof PowerShell invocation template that teaches your Windows agents to safely handle native arguments, spaces, and encoding without breaking. It is a fantastic starting point for building reliable, self-sufficient AI agents.

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📦 achrefelouafi/waterthreejs

Water ThreeJS

Build a stunning, photorealistic ocean simulation directly in the browser without loading a single texture. This project generates everything procedurally using advanced shaders, including crashing waves, realistic sky reflections, and drifting volumetric clouds. By translating complex physics into mathematical formulas, it dynamically calculates light absorption so shallows look bright turquoise while deep waters fade into a rich, dark blue. When you dive below the surface, the simulation seamlessly transitions to show sunlit god rays, rolling caustics on the sandy seabed, and floating objects that naturally bob and drift on the water's surface.

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📦 mighty-alien/mev-arbitrage-bot

MEV Arbitrage Bot

The mev-arbitrage-bot is an automated trading tool that scans Ethereum decentralized exchanges to profit from temporary price differences. By combining a smart contract with an external Python script, the tool monitors live Uniswap events for trading opportunities. When a price mismatch occurs between different trading pools, the system can buy low in one venue and sell high in another within a single transaction. Users deploy the contract using a web interface, fund it with ether, and run the automated scanner. It serves as a practical, hands-on example of how modern decentralized finance searchers automate on-chain trading.

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📦 davidhdev/canvas-ui

Canvas UI

You can now run realistic fluid simulations and glass distortion effects directly over your live, interactive web page. An open-source library called canvas-ui makes this possible by utilizing a new web browser feature that lets canvas graphics directly capture and redraw your active website. Instead of dealing with unresponsive background videos, your text remains completely selectable and your links stay fully clickable while being distorted in real time. It comes packed with dozens of custom creative effects, and it works across all major modern frameworks. It is a fantastic way to add some serious visual polish to your next project.

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📦 baidu-baige/loongflow

LoongFlow AI Agent Framework

Build expert-grade AI systems that actually learn from their own mistakes instead of just repeating them. LoongFlow organizes artificial intelligence into a structured planning, execution, and summary loop, meaning the agent constantly reflects on what went wrong and how to fix it. It even uses specialized memory to store and reuse these hard-won insights across complex coding, machine learning, and math tasks. Think of it as giving your local AI model the rigorous, reflective mindset of a human scientist. You can use it to build incredibly stable, self-improving agents that tackle your toughest problems with genuine, evolving logic.

📰 https://news.ycombinator.com/item?id=49049823

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📦 chinmay-sawant/gopdfsuit

gopdfsuit

Full compliance archival PDF generation delivers an astonishing sixty-six hundred operations per second on a single machine, while turning off compliance reaches an unbelievable thirty-seven thousand operations per second. This incredible speed comes from gopdfsuit, an open-source engine that works as a fast Go library, a REST API, or Python bindings. It generates fully tagged, digitally signed, and accessible documents directly from JSON templates, completely in-memory with zero external runtime dependencies. It is the perfect modern toolkit for any developer needing to quickly generate, merge, secure, or redact highly compliant documents at scale. Check out the gopdfsuit repository to speed up your document workflows today.

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📦 jbwinters/jacquard-lang

Jacquard Lang

Run and verify untrusted code written by machine learning models without risking your system. This project introduces a small programming language called jacquard-lang that is built specifically for a world where AI writes the code and humans review it. Instead of guessing what a model-generated script might do, this language explicitly lists every outside-world effect, like network or file access, directly in the function signature. If an effect isn't declared, the code won't compile, and if it isn't granted at runtime, it won't run. It is the ultimate safety net for reviewing AI code with absolute peace of mind.

📰 https://news.ycombinator.com/item?id=48894630

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📦 naver-ai/opd2

On-Policy Delta Distillation

Teach smaller artificial intelligence models how to reason by capturing only the specific changes that occur during a larger model's training. This approach uses a technique called on-policy delta distillation, which isolates the exact reasoning shift between a smart teacher model and its basic version. Instead of copying everything, the system focuses solely on this difference, or delta signal. Tests show this method consistently boosts performance in math, science, and coding tasks across various model sizes. It offers a much smarter, more direct way to pass down complex thinking skills to lightweight models without the usual extra bloat.

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📦 34306/usbliter8-fun

usbliter8-fun

usbliter8-fun is the experimental developer tool that lets you jailbreak and run custom firmware on an iPhone 11 Pro running iOS 27 beta. By hooking up a cheap Raspberry Pi Pico 2 board to act as a hardware exploit injector, you can bypass USB restrictions, patch the iOS kernel, and run unsigned code. The coolest part is that it lets you share your Mac's internet connection over USB and spin up a local VNC server, giving you full remote control of your phone's screen directly from your desktop. It is a brilliant, hands-on playground for developers who love pushing hardware to its absolute limits.

📰 https://news.ycombinator.com/item?id=48990541

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📦 tobi/try

Try CLI

Your local storage is likely cluttered with dozens of abandoned test directories, but a minimalist command line tool named try completely solves this file system chaos. Built as a single file Ruby script with zero dependencies, this utility acts as a smart, dedicated home for all your chaotic coding experiments. It automatically prefixes new directories with the current date, lets you clone git repositories straight into fresh folders, and uses a clever fuzzy search algorithm to instantly jump to your past work. The tool even tracks when you last opened a folder so your active projects naturally bubble up to the top. Install try today to keep your ideas organized...

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📦 l3lackcurtains/trading-ops

Trading Ops

Trading-ops is the terminal-based trading workspace that transforms Claude Code into a fully systematic market scanner. By running simple slash commands, you can instantly analyze stocks, crypto, foreign exchange, indices, or commodities, pulling back structured markdown verdicts, neat text-based price ladders, and clear trade tables. Instead of relying on vague vibes, the system runs local python scripts to gather hard data like volume profiles and moving averages without needing expensive paid subscriptions. It saves every analysis as a local file, creating a reliable audit trail of your trading decisions that you can easily track and automate over time.

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📦 franckyb/comfyui-prompt-manager

ComfyUI Prompt Manager

You can now run a local artificial intelligence model right inside ComfyUI to write and polish your prompts for you. With comfyui-prompt-manager, a local llama dot c p p or Ollama instance hooks directly into your workspace, automatically downloading optimized models to enhance your text or even analyze images to write descriptive prompts. Beyond AI generation, it acts as a central hub where you can save complex prompts, manage dual LoRA stacks, and extract complete generation settings straight from existing images or videos. It is the ultimate tool for organizing your creative chaos and building repeatable image recipes without messy node wiring.

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📦 pana1v/polka

Polka Multi LiDAR Fusion for ROS 2

Combine multiple lidar and laser scanner feeds into a single clean data stream with Polka. If you run multiple sensors on a robot, you usually have to daisy chain separate software nodes to filter, transform, and merge the data, which adds lag and wastes processing power. Polka replaces that entire messy chain with one highly efficient node. It merges different sensor formats, applies customizable filters, and can even use graphics card acceleration to speed up the process. A smart algorithm also uses motion data to instantly correct any sensor blur caused by the robot moving. The result is a single, clean, lightweight output topic that makes life much easier for...

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📦 hahhforest/pi-textbook

Build Your Own Pi

You can now build a fully functional coding assistant from scratch by following fifteen real checkpoints in a shared git history. The pi-textbook project is an interactive, executable engineering textbook written in Chinese that guides developers through building a Pi-style agent from first principles. Instead of showing you theoretical pseudocode, this course connects every single chapter to an actual runnable code commit, focused test suites, and controlled failure experiments. You will build the system step-by-step, starting with a single offline trace and working up to streaming model events, custom coding tools, session trees, and runtime evaluation. It is the ultimate hands-on masterclass for understanding how modern AI agents actually run.

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📦 dotgui/core

Core UI Format

User interfaces are finally getting their own universal image format. Think about how portable vector graphics are because of scalable vector graphics, but those were made for illustrations, not modern app screens. A clever new open-source standard called core introduces the dot-gui format, a human-readable, text-based file structure built specifically for layouts, components, and design tokens. Instead of locking designs inside proprietary platforms or dealing with complex web-bundler friction, dot-gui organizes your interfaces as clean packages that any code renderer, AI model, or design tool can read and write. It is the missing link that lets your favorite design tools finally talk to each other directly.

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