📦 canonry/canonry

Canonry

Track how AI answer engines like Gemini, ChatGPT, Claude, and Perplexity cite your website so you can finally master engine optimization. Canonry is an open source, local first platform that acts as a central command center for your visibility across the modern AI landscape. It lets you monitor where you are being cited, analyze server logs to watch AI crawlers visit your pages, and diagnose your presence using real traffic data from search consoles and analytics. You can even submit direct fixes and coordinate updates. It is the ultimate toolkit to ensure your site stays visible in an AI driven world.

📰 https://news.ycombinator.com/item?id=49014880

🆔 @hackernewsgithubprojects

📦 eth-medical-ai-lab/agent-gui

Agent GUI

Watch your autonomous AI agents work right inside a virtual, scrollable office space where every task gets its own desk. With agent-gui, you can click on any desk to instantly see its live activity feed, inspect its file tree, watch the terminal, and view full debug messages. Instead of letting agents run blindly in the background, this project gives you a friendly interface to observe and steer them. You can even redirect and reassign agents mid-task without leaving the dashboard. It is a fantastic way to bring transparency and control to your multi-agent workflows.

🆔 @hackernewsgithubprojects

📦 musheer360/swiftslate

SwiftSlate

Instantly polish your writing, fix typos, or change your tone in any Android app without ever leaving your text field. By setting up a simple Android accessibility service, this clever tool lets you run custom AI prompts directly inside your active text box. Just type out what you want to say, add a quick trigger command like question mark formal, and watch your rough draft automatically transform into a professional message right before your eyes. It works system-wide using lightweight API integrations, giving you instant text editing power anywhere you type on your phone. Grab the app to make your mobile typing smarter, faster, and completely seamless.

🆔 @hackernewsgithubprojects

📦 hvision-nku/dreamstyle3d

DreamStyle3D

Generate high-fidelity, beautifully stylized 3D objects in less than ten seconds. DreamStyle3D is a clever framework that takes one content image and one style image, combining them into a textured 3D asset. Unlike older methods that struggle to keep the style consistent across different angles, this system uses a dual attention mechanism to separate the shape of the object from its artistic style. This means you can easily apply watercolor, ceramic, or sketch details to a 3D model without warping its original structure. It is incredibly fast, easy to run, and opens up amazing possibilities for game developers and artists looking to speed up their 3D creative workflow.

🆔 @hackernewsgithubprojects

📦 nanonets/graft

Graft

Graft is the code-mapping tool that finally stops AI coding assistants from wasting your tokens on repetitive codebase exploration. Whenever an AI agent starts a task, it blindly searches your files to build a mental map that it immediately throws away when the session ends. Graft solves this by building a permanent, local graph of your codebase once, saving it as a folder of simple markdown files right in your repository. It integrates directly with tools like Claude Code and Cursor to instantly feed them the exact context they need, making your AI runs up to three times faster and four times cheaper. Best of all, it automatically updates itself...

📰 https://news.ycombinator.com/item?id=49107075

🆔 @hackernewsgithubprojects

📦 nvlabs/cute

Understanding GPU Memory Layouts with CuTe

Design complex memory arrangements for high-performance computing without writing a single line of CUDA code. The cute repository provides a pure Python reference implementation of the hierarchical layout and tensor algebra used in Nvidia's high-performance computing libraries. It allows you to model how multi-dimensional data maps to physical memory addresses using simple, nested shapes and strides. You can experiment with complex matrix operations, visualize thread-to-value mappings, and design conflict-free memory patterns on your laptop with basic Python. It is an incredibly accessible way to master the advanced memory math that powers modern hardware acceleration.

📰 https://news.ycombinator.com/item?id=49103085

🆔 @hackernewsgithubprojects

📦 kunal12203/graperoot

GrapeRoot AI Context Engine

Slash your AI coding bills and get accurate answers on the first try by feeding your developer tools exactly the context they need. GrapeRoot runs locally to build a smart semantic map of your entire codebase, tracing how your files, classes, and imports connect. Instead of making your AI assistant blindly search through thousands of files or wasting expensive tokens uploading redundant code, this tool pre-loads the precise code snippets required for your specific question. It even remembers what you edited across a session so your savings compound over time. Just run it alongside your favorite developer tool to get faster, cheaper, and smarter programming help.

🆔 @hackernewsgithubprojects

📦 alielsokary/caskhub

CaskHub

CaskHub is the native Mac app store that finally brings a beautiful interface to your command line setup. It acts as a full graphical store for Homebrew casks, letting you search, install, update, and uninstall thousands of Mac apps without ever touching the terminal. The coolest part is its safe adoption feature, which lets you take apps you already downloaded from websites or the App Store and bring them under command line management with a single click. It is completely free, open source, and preserves full terminal compatibility, making app management incredibly satisfying.

🆔 @hackernewsgithubprojects

📦 tencent/angelspec

AngelSpec Speculative Decoding

AngelSpec is the training framework that finally unifies speculative decoding models under a single, highly efficient pipeline. Speculative decoding speeds up large language models by letting a smaller, faster draft model guess the next few tokens, which the main model then quickly verifies. Instead of forcing you to build custom setups for every new draft method, this tool brings six different major architectures together, letting you switch between them with a simple configuration tweak. It connects your training and generation processes across separate graphics chips using a clever shared memory store, so they can scale completely independently. If you want to make your language models run significantly faster in production...

🆔 @hackernewsgithubprojects

📦 achrefelouafi/grasssystemthreejs

Grass System Three JS

Build highly detailed and responsive environment scenes right in the browser. Grass System Three JS lets you sculpt real-time, procedural terrain directly on the GPU using Three JS. Instead of loading heavy static meshes, this sandbox dynamically generates mounds, mossy layers, and dry cracks using advanced math shaders. Every single blade of grass is instanced and animated in a single draw call, reacting to custom wind gusts and matching the contours of your terrain. You can even drop in 3D models and watch virtual moss grow over them. It is an incredibly clever way to build lightweight, interactive 3D landscapes that run fast on almost any screen.

🆔 @hackernewsgithubprojects

📦 grinev/opencode-telegram-bot

OpenCode Telegram Bot

You can now run and monitor local artificial intelligence coding tasks directly from your phone without exposing any APIs or opening public network ports. The open source project opencode-telegram-bot establishes a secure connection between your mobile device and your local computer through the Telegram API. It acts as an interactive client for the OpenCode engine, letting you send prompts, switch models, and approve agent permissions via simple chat buttons. Since it is entirely self-hosted and relies on a strict user whitelist, your development environment remains private and safe. It is the perfect bridge for developers who want to step away from their desks while keeping their local code generation running.

🆔 @hackernewsgithubprojects

📦 nianzhibai/91

91 Video Station

The media server that automatically connects and deduplicates your cloud storage drives into a single unified streaming interface. Nine One mounts popular services like OneDrive, WebDAV, and local storage, cataloging your entire media collection into a sleek React frontend. It handles the heavy lifting behind the scenes, using ffmpeg to extract thumbnails and generate multi-segment preview teasers for every clip, and it even includes an automated duplicate detector that runs content-level frame matching to keep your storage clean. It is the perfect self-hosted solution for spinning up a private Netflix-like dashboard directly from your cloud files.

🆔 @hackernewsgithubprojects

📦 adithyan-ak/agenthound

Agent Hound

Agent Hound is the security tool that maps out every hidden vulnerability inside your AI agent infrastructure. Think of it as bloodhound for artificial intelligence, scanning everything from model gateways to local prompt configurations to find exactly where your system is exposed. Instead of guessing how a rogue agent could pivot through your network, it merges your entire setup into a single interactive graph that shows you real attack paths, credential leaks, and poisoning risks. It lets you visualize exactly how a compromised tool could lead to a massive data leak before it actually happens. Check out Agent Hound on GitHub to map and secure your AI playground today.

📰 https://news.ycombinator.com/item?id=49091338

🆔 @hackernewsgithubprojects

📦 cvar-vision-dl/remind-reid-tracker

remind-reid-tracker

This computer vision system can accurately re-identify and track indoor objects even after they completely disappear from view, experience massive lighting changes, or are seen from entirely new angles. Named remind-reid-tracker, this online tracker solves a major headache for mobile robots by building persistent, adaptive memory models of every object using frozen deep learning features. Instead of relying on predictable motion paths, it analyzes semantic parts and relational context, like how objects are arranged next to each other. When things get too visually confusing, it intelligently pauses and flags those objects as ambiguous instead of making a wrong guess.

🆔 @hackernewsgithubprojects

📦 orchidfiles/ungate

Ungate

Route your Cursor chat requests directly through your web subscriptions to stop paying for expensive API tokens. By setting up a secure local proxy and a Cloudflare tunnel, ungate intercepts your editor requests and translates them so they run seamlessly under your existing Claude and ChatGPT account plans. It handles everything behind the scenes, from translating complex streaming tool calls to fixing that annoying Cursor bug where your API key settings randomly turn off. You get the same smart completions and image support in your editor without running up a massive developer bill. Just install the extension, link your accounts, and write code on your subscription's dime.

📰 https://news.ycombinator.com/item?id=48135776

🆔 @hackernewsgithubprojects

📦 superxslam/supermap

SuperMap

Imagine a robot that does not just map a room, but actually remembers how it changes over time. Carnegie Mellon researchers built supermap, a living spatial memory that acts like a four-dimensional brain for AI. Instead of static 3D models, it builds a queryable timeline of every single object, keeping track of its location even when it gets blocked from view. A robot can use this memory to look at a room, understand where a coffee cup went, and reason through complex tasks. It runs fully live on robot hardware, making real-world navigation genuinely smart.

🆔 @hackernewsgithubprojects

📦 smixs/pohuy

pohuy

Imagine an artificial intelligence assistant that actually talks like a real senior software engineer who has spent twenty grueling years fixing production servers. This brilliant open-source project called pohuy introduces an idiomatic Russian profanity mode for artificial intelligence agents. It replaces polite corporate filler with incredibly accurate, context-aware engineering slang, categorizing project emergencies from simple minor bugs all the way to complete data disasters. It keeps raw code and pull requests clean, but lets the chat run wild with authentic developer energy. It is the perfect way to make debugging feel like you are talking to a real human friend.

🆔 @hackernewsgithubprojects

📦 vladuzh/qwen-scribe

Qwen Scribe

Your Mac can now transcribe audio and video locally without sending a single byte of data to the cloud. A clever developer built qwen scribe, a lightweight desktop app designed for Apple Silicon that uses a local open-source speech model to handle completely private transcription and system-wide dictation on your GPU. By simply holding down the right Command key in any application, you can speak, release the key, and watch your words instantly paste right at your cursor. It is the perfect private alternative to cloud dictation, keeping your voice recordings and transcripts safely locked on your own machine.

📰 https://news.ycombinator.com/item?id=49098260

🆔 @hackernewsgithubprojects

📦 mpociot/codex-micro-stream-deck-emulator

Codex Micro Stream Deck Emulator

You can turn your ordinary Elgato Stream Deck into a custom physical controller for the ChatGPT desktop app. With the clever codex-micro-stream-deck-emulator, the ChatGPT app gets tricked into thinking your Stream Deck is a genuine Codex Micro macro pad. When you connect it, your device keys instantly reflect your active tasks with color-coded status updates, while the built-in action keys and dials control reasoning depth and push-to-talk mic features. It achieves this magic on macOS by running a background bridge and injecting a tiny, non-invasive runtime shim into the ChatGPT app. It is the ultimate productivity hack for power users who want tactile, real-time physical control over their AI workflows.

🆔 @hackernewsgithubprojects

📦 digimata/quill

Quill

Record and transcribe your meetings completely offline using a tiny, ultra-minimalist menu bar app for Mac. Quill runs entirely on your local machine, capturing your microphone and your computer's system audio as two separate tracks. When you stop recording, it automatically runs an on-device speech model to generate a speaker-tagged transcript, matching your voice against the other side of the call with zero data ever leaving your computer. By separating the audio streams, it achieves incredibly accurate transcriptions without needing complex speaker-identification models. It is the perfect, private way to document your calls and keep your data safe.

🆔 @hackernewsgithubprojects