📦 nanboy-ronan/rvcbench

RVC Bench: The Truth About Voice Cloning

RVC Bench is the evaluation suite that finally tells you if a voice clone actually sounds human. It stops us from guessing which AI audio model is best by running every major tool through the same rigorous gauntlet. You hand it a few seconds of audio, and it grades the output on seven different scales, from clarity to emotional stability. This matters because most models claim to be realistic, but only the numbers prove it. You get a single, objective scorecard instead of vague opinions. It turns the wild world of deepfake audio into a fair contest.

🆔 @hackernewsgithubprojects

📦 dotpm/obsidian-pm

Obsidian PM: Project Management Inside Your Notes

Your coding agent can now directly edit your project board while you work in Obsidian. This plugin turns plain markdown notes into a full project manager with table, gantt, and kanban views. The real magic is the local API: when you enable it, your vault serves a Model Context Protocol endpoint, meaning a tool like Claude can pick up a task, update its status, and close it, all while the changes appear instantly in your interface. Since everything is just text files, you keep total control without locking your workflow into a proprietary cloud service.

🆔 @hackernewsgithubprojects

📦 yihaohu0118/trajectory2gym

Trajectory2Gym

Trajectory2Gym generates high-quality training data for AIs that need to use tools. Instead of letting models guess blindly, this project builds specific scenarios where every step is verified and grounded in actual decisions. It then uses a special math trick to ensure that when one complex scenario creates multiple training examples, the model doesn't accidentally overlearn one part of the conversation. This is the official code release for the research paper, including the training tools and examples. If you are building agents that need to handle complex real-world tasks, this is the blueprint for making them actually learn from their interactions.

🆔 @hackernewsgithubprojects

📦 tanishqkancharla/diffmap

diffmap: See Your Code Changes Visually

Your coding agent writes more code than you can review, but diffmap lets it explain its changes to you visually. Instead of scrolling through endless lines of text, you get interactive diagrams where every part links directly back to the source code. It is a skill that turns complex updates into clear, step-by-step visuals, helping you focus on design decisions rather than boilerplate. You can even step through animated service diagrams to see exactly how data moves and state changes over time. It is an interesting way to understand what your agent actually did, making the review process much more human-friendly.

🆔 @hackernewsgithubprojects

📦 nichokas/grokbot-linux-port

Grok Bot Linux Repack: How Arch and Fedora Users Install It

The most surprising thing about the Grok Bot Linux Repack is that it takes an official application file and splits it into pieces so you can install it using your favorite tools without changing a single line of code. The developers only release their app as a single file format, which leaves users on other systems stuck. This project solves that by automatically grabbing the official file, breaking it apart, and repacking it into formats that work for Arch, Fedora, and any other system. It runs daily to keep everything up to date.

🆔 @hackernewsgithubprojects

📦 git-fed/muse-ai-guide-2026

Muse AI Guide 2026

Muse AI Guide 2026 is the offline-first field guide that finally stops AI agents from guessing their own results. It solves the messy problem of trusting a chatbot that claims it finished a complex task without any proof. You get a simple local ledger that records every single step right on your device, so you can see exactly what happened. No servers, no accounts, just pure transparency. If you want to know if your AI is actually doing what it says, this is your proof. Keep your records local and your eyes open.

🆔 @hackernewsgithubprojects

📦 ddkbs/sketchy

Sketchy: Draw Diagrams While You Chat

Sketchy lets Claude draw hand-drawn diagrams right next to its answers, solving the problem of messy or overlapping boxes. The model decides what to label, while the layout engine figures out exactly where everything goes, keeping every drawing clean and precise. The coolest part is the step-by-step walkthrough: Claude highlights one piece of the diagram at a time with a red circle, fading out the rest so you can follow the logic without getting lost. It works directly in your chat, turning complex concepts into interactive pictures you can hover over and explore. Next time a topic feels dense, ask for a sketch and watch the explanation come to life.

🆔 @hackernewsgithubprojects

📦 rikiyat/lm_understand-logs

LLMs that write their own brains

lm_understand-logs is the experimental record that proves language models can actually read and write the numeric weights inside their own neural networks. Instead of treating a model as a black box, this repository documents conversations where an LLM inspects its internal numbers, fixes broken logic, and even reconstructs entire game-playing brains from scratch. It is fascinating because it shows a machine literally editing its own mind to solve problems. If you want to see how close we are to self-modifying A.I., this is the evidence to study.

🆔 @hackernewsgithubprojects

📦 trahloff/aldine

Aldine: The Self-Hosted LaTeX Editor That Actually Uses Git

Aldine is the self-hosted LaTeX editor that finally makes your documents real git repositories. If you have ever wanted to use version control on a collaborative writing project without juggling a dozen different tools, this is the tool that actually works. It runs on just two containers and one small database file, so you can set it up on your own server in minutes without needing to babysit a massive server cluster. The coolest part is that every single project is a genuine git repo, meaning you can create branches, merge changes, and push directly to GitHub or GitLab right from the editor.

📰 https://news.ycombinator.com/item?id=49865948

🆔 @hackernewsgithubprojects

📦 nandorojo/nando-skill

Nando Skill: The API-First Blueprint

Nando Skill is the engineering kit that makes your entire product a direct function of its API. Instead of treating your codebase as a tangled mess of separate layers, this project forces you to define your data and logic once, then derive every other piece from that single source of truth. It includes a built-in checker that actively stops you from breaking these rules, ensuring your code stays clean and easy to move to new platforms. If you want to build software that is easy to understand and change, this is your roadmap to a more disciplined, maintainable codebase.

🆔 @hackernewsgithubprojects

📦 deepbeepmeep/wangp

WanGP: AI Video Generation for Everyone

Your graphics card doesn't need to be the most expensive on the market to make Hollywood-level AI videos anymore. WanGP is a powerful, open-source tool that lets anyone generate stunning videos, images, music, and even explorable 3D worlds entirely on their own computer. The magic happens in the background, where smart software tricks allow these massive AI models to run smoothly on older or budget hardware that would normally crash. It is a complete creative studio with a friendly chat assistant that helps you plan and produce your projects. You don't need a cloud subscription or a fortune in hardware to start making professional content.

🆔 @hackernewsgithubprojects

📦 wquguru/shisei

Shisei: The Pose Library AI Needs

Shisei gives AI image tools over two hundred and eighty mannequin poses, each drawn from five different camera angles to keep your characters consistent across shots. It is not a model library, but a free reference collection of clean line art, clay renders, and depth maps. You upload these images to tools like Midjourney or ComfyUI to guide the pose, while your own prompt handles the face, clothes, and background. Every image is strictly reviewed to ensure accuracy, and the names come in four languages. It is a precise, open source way to stop wrestling with random AI anatomy. If you generate characters, this is your new cheat code.

🆔 @hackernewsgithubprojects

📦 hongye007/open-pose-costume

Open Pose and Costume

Open Pose and Costume is the bilingual reference studio that puts thousands of curated pose and costume assets into one creative workspace. It solves the problem of scattered inspiration by letting artists mix and match specific character angles, outfits, and facial references to generate consistent AI images. The standout feature is its one-click generation tool, which combines a chosen pose and outfit with an optional face reference to produce a finished illustration. This makes it incredibly useful for character designers who need rapid, cohesive variations for practice or client work.

🆔 @hackernewsgithubprojects

📦 konabe-studio/konode

Your Browser, Your Storage: Konode

Konode syncs your bookmarks, open tabs, history, and extension list directly to storage you already own, like Google Drive or a private GitHub repository, without using any company servers in the middle. There is no Konode account to create and no central server to trust, so your credentials never leave your device and your data goes straight to the place you picked. You can even turn on end-to-end encryption so not even your storage provider can read the files. It works across Chrome, Edge, Brave, and Firefox, letting you manage your browser data on your own terms.

🆔 @hackernewsgithubprojects

📦 hivepaas/shellwing

shellwing

Open encrypted server connections from your phone, laptop, and desktop, all synced through one secure vault. shellwing is a fast, native app for Mac, Windows, and Linux that turns a messy pile of saved passwords and scattered connection details into a single, organized tool. It handles the tricky parts of remote work for you, like keeping files in sync and managing keys automatically. The most interesting part is that your notes and secrets travel with you, encrypted end-to-end, so you can switch devices without re-typing a thing. It is a calm, powerful way to stay connected to your servers without the usual headache.

📰 https://news.ycombinator.com/item?id=50184407

🆔 @hackernewsgithubprojects

📦 kevintngo/looseleaf

Looseleaf: The React Library That Looks Like Hand-Drawn Paper

Looseleaf is the React component library that makes your digital interface look like a hand-sketched paper notebook. It provides one hundred and twenty-three accessible components that mimic the texture of paper, ink, and tape, while still working like a standard tool. This solves the problem of sterile, flat user interfaces by adding a warm, tactile feel without sacrificing functionality. It is interesting because it proves you can have personality and polish in code simultaneously. The takeaway is that design doesn't always have to be sleek and corporate; sometimes, it just needs to feel human.

🆔 @hackernewsgithubprojects

📦 andrewfader/blokkily

Blokkily: The AI-Powered Pattern DAW

Compose music by talking to your DAW. Blokkily is an experimental digital audio workstation that lets you build songs using large language models and agent control. Instead of just clicking buttons, you can ask the integrated assistant for musical phrases, have it generate them, and then review the results before applying them to your tracks. It also features a unique pattern-based workflow, where you can edit the same musical idea in a tracker, piano roll, or step grid, and see the changes instantly without stopping playback.

📰 https://news.ycombinator.com/item?id=50064438

🆔 @hackernewsgithubprojects

📦 rerun-build/rerun

Rerun: AI Coworkers That Run Your Work

Rerun is the open source platform that turns AI agents into a coordinated team of virtual coworkers. Unlike standard chatbots, these agents work on a schedule, remember your preferences, and check in before taking sensitive actions. The standout feature is the Foreman, a supervisor agent that interviews you to understand your goals, then automatically hires and manages specialized coworkers to handle tasks like email sorting or lead generation. You get a visual board to monitor their progress, and they can use your existing tools like Gmail, Slack, and Notion. Because it is self-hostable, you retain full control over your data and workflows.

🆔 @hackernewsgithubprojects

📦 cygaco/master-console

Master Console: Your AI Code Army

Turn a single AI assistant into a disciplined software company. Master Console installs a full organizational structure directly into your project, giving one chat interface the power of an entire engineering team. Instead of just coding, it spawns an architect that plans the work, builders that code in isolation, and strict reviewers that check every line of code before it moves forward. It even remembers what it learned in previous sessions so it does not make the same mistakes twice. This solves the chaos of solo development by adding the structure of a real team to your workflow.

🆔 @hackernewsgithubprojects

📦 vixhal-baraiya/qwengpu

qwenGPU: A GPU Inside a Language Model

qwenGPU is the experimental model that actually runs real GPU code inside its own brain. It takes the Qwen language model and physically compiles a tiny graphics processor directly into its neural network weights. The wild part is that when the model does math, it doesn’t just guess the answer. It writes out every single step of a graphics kernel, token by token, executing the actual code. It’s less like a calculator and more like watching a computer think through a hardware pipeline. If you like watching machines do things that should be impossible, this is the project to look at.

🆔 @hackernewsgithubprojects

📦 earendil-works/djs

DJS: The JavaScript Engine That Fits in a Pocket

DJS is the tiny JavaScript engine that treats your code like a frozen block of ice. Built entirely in Rust without any operating system dependencies, it packs the entire runtime into a single byte arena. This means you can snapshot your exact machine state by simply copying bytes, then restore it instantly on any machine. It was designed specifically to run scripts inside artificial intelligence agents, where speed and determinism matter more than everything else. By removing the usual overhead of standard libraries and complex memory management, DJS starts up in mere microseconds. It is not just a faster interpreter, but a completely different way to think about executing code.

🆔 @hackernewsgithubprojects