Github Top Repositories

⚡ supertone-inc/supertonic is making waves. Here's the full picture. 🔗 https://github.com/supertone-inc/supertonic 📝 Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX. ────────────────────────────── Supertonic is an on-device, lightning-fast text-to-speech system that runs entirely on your device, ensuring complete privacy and zero network dependency. Its key features include low-latency speech generation, compact ONNX assets, and accurate reading with fewer repeat and skip failures. To get started, simply install the Python SDK using pip install supertonic and generate speech with the provided examples. The repository includes ready-to-use examples across multiple ecosystems, such as Python, Node.js, browser, mobile, and native runtimes. From a technical perspective, Supertonic utilizes ONNX Runtime for cross-platform inference and supports batch processing for improved throughput. The system is designed to handle natural text inputs with complex prose, punctuation, abbreviations, and proper nouns. With support for 31 languages and various expression tags like <laugh>, <breath>, and <sigh>, Supertonic is an ideal choice for developers seeking a flexible and efficient text-to-speech solution. In a nutshell, Supertonic is the perfect tool for anyone looking to add high-quality, on-device text-to-speech capabilities to their application - it's fast, private, and accurate, making it a game-changer in the world of TTS technology. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 K-Dense-AI/scientific-agent-skills landed on trending. Worth a proper look. 🔗 https://github.com/K-Dense-AI/scientific-agent-skills 📝 A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing. ────────────────────────────── The Scientific Agent Skills repository on GitHub is a comprehensive collection of 135 ready-to-use scientific and research skills for any AI agent that supports the open Agent Skills standard. This repository, created by K-Dense, provides a wide range of skills across multiple scientific domains, including bioinformatics, cheminformatics, proteomics, and more. These skills enable your AI agent to seamlessly work with specialized scientific libraries, databases, and tools. The repository includes 100+ scientific databases, 70+ optimized Python package skills, and 9 scientific integration skills, among others. To get started, you can install the skills using npx or the GitHub CLI. The skills are well-documented, with examples, use cases, and best practices. This repository is maintained and supported by the K-Dense team, with regular updates and community contributions. In summary, the Scientific Agent Skills repository is a powerful tool for transforming your AI agent into a research assistant capable of executing complex multi-step scientific workflows. With the ability to access 100+ databases and utilize 70+ optimized Python packages, this repository is a game-changer for scientists and researchers: Transform your AI coding agent into an 'AI Scientist' and accelerate your research today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 obra/superpowers is trending — and it deserves your attention. 🔗 https://github.com/obra/superpowers 📝 An agentic skills framework & software development methodology that works. ────────────────────────────── Superpowers is a software development methodology that helps your coding agents work more efficiently. Its key features include a skills library with testing, debugging, and collaboration tools, as well as a systematic approach to development. To use Superpowers, you can install it via various marketplaces, such as Claude Code or Codex CLI, and then follow the basic workflow outlined in the documentation. From a technical standpoint, Superpowers uses a subagent-driven-development process, where agents work through each engineering task, inspecting and reviewing their work. This process emphasizes test-driven development, systematic debugging, and complexity reduction. Superpowers is designed for anyone looking to improve their coding agent's productivity, including developers, engineers, and researchers. In short, Superpowers helps your coding agents work smarter, not harder - automate your coding workflow and focus on the big picture. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 tinyhumansai/openhuman is trending — and it deserves your attention. 🔗 https://github.com/tinyhumansai/openhuman 📝 Your Personal AI super intelligence. Private, Simple and extremely powerful. ────────────────────────────── OpenHuman is your personal AI super intelligence, designed to be private, simple, and extremely powerful. It's an open-source agentic assistant that integrates with your daily life, providing a clean desktop experience and short onboarding paths. With 118+ third-party integrations and one-click OAuth, you can plug into your favorite tools and services, such as Gmail, Notion, GitHub, and more. The Memory Tree and Obsidian Wiki features allow you to create a local-first knowledge base built from your data and activity, with everything canonicalized into Markdown chunks stored in SQLite on your machine. Smart token compression (TokenJuice) reduces cost and latency by up to 80%. To get started, you can download OpenHuman from the website or run the installation script. The project is still in early beta, but it's already showing great promise. The target audience for OpenHuman includes developers, researchers, and individuals looking for a powerful and private AI assistant. With its native voice and messaging channels features, OpenHuman is an excellent choice for those who want a seamless and integrated experience. Technical highlights of OpenHuman include its use of Rust, Node.js, and SQLite, as well as its support for Git and CMake. The project is actively maintained and has a growing community of contributors. In short, OpenHuman is a game-changer for those who want a personal AI assistant that's both powerful and private. With its innovative features and technical highlights, it's an exciting project to watch and contribute to. Here's a simple way to get started:

curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash

One-liner takeaway: OpenHuman is the ultimate AI sidekick that learns about you in minutes, not weeks, and helps you get more done with less hassle! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

I study Gold. I send the alert. You copy the move. That’s how simple I made it for beginners. You don’t need to become a full-time trader. You just need a phone, Telegram, and 10 minutes a day. 👉 Join for free #ad 📢 InsideAd

Owner 1win 1win Do you know the secret to 1win's success? Its a a simple rule: if a player wins — they pay him quickly. It doesn’t matter if it’s $100 or $20 million — payouts are processed instantly. This is how companies trusted by millions of players operate. If you’re curious how a crypto casino really works, check out the 1win owner’s channel. Ad. 18+

🔍 Deep-diving into github/spec-kit — fresh off the trending list. 🔗 https://github.com/github/spec-kit 📝 💫 Toolkit to help you get started with Spec-Driven Development ────────────────────────────── The Spec Kit is an open-source toolkit that enables developers to focus on product scenarios and predictable outcomes, rather than writing every piece of code from scratch. It flips the script on traditional software development by making specifications executable, directly generating working implementations. To get started with Spec Kit, you can install the Specify CLI using uv tool install or pipx install. Then, initialize a new project with specify init, establish project principles with /speckit.constitution, and create a spec with /speckit.specify. Spec Kit also offers a range of community extensions that can be used to extend its functionality, including Agent Assign, AI-Driven Engineering (AIDE), and API Evolve. These extensions can be browsed and searched on the Community Extensions website. The target audience for Spec Kit appears to be developers and development teams who want to streamline their software development process and focus on creating high-quality products. One-liner takeaway: With Spec Kit, developers can build high-quality software faster by focusing on product scenarios and executable specifications, rather than writing every piece of code from scratch. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 trycua/cua just hit the trending charts — here's why it matters. 🔗 https://github.com/trycua/cua 📝 Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows). ────────────────────────────── The trycua/cua GitHub repository is a game-changer for anyone interested in building, benchmarking, and deploying agents that interact with computers. At its core, Cua provides a versatile platform for creating autonomous agents that can perform tasks on various operating systems, including macOS, Linux, Windows, and Android. One of the key features is the cua-driver, which allows agents to interact with native macOS apps in the background, enabling tasks like clicking, typing, and verifying without interrupting the user. The cua package provides a unified API for building sandboxes on any OS or container image, making it easy to develop and deploy agents across different environments. To get started, users can install cua using pip install cua and explore the various tools and libraries, including cuabot for co-op computer-use, cua-bench for benchmarks and RL environments, and lume for macOS virtualization. The technical highlights of Cua include its support for multiple platforms, near-native performance on Apple Silicon, and a wide range of tools and libraries for building and deploying agents. The project is well-documented, with extensive guides, examples, and API references available. The target audience for Cua includes developers, researchers, and anyone interested in building autonomous agents for computer-use tasks. With its open-source license and active community, Cua is an exciting project that has the potential to revolutionize the way we interact with computers. In a nutshell, Cua is a powerful platform for building autonomous agents that can interact with computers in a variety of ways, and its potential impact on the field of AI and computer science is enormous: Cua is not just a tool, it's a new paradigm for human-computer interaction. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: ton-blockchain/acton — let's break it down. 🔗 https://github.com/ton-blockchain/acton 📝 Toolchain for TON smart contract development and beyond ────────────────────────────── Introducing Acton, an all-in-one TON smart contract development toolkit written in Rust. It combines project scaffolding, build, testing, scripting, wallet and network operations, verification, linting, formatting, debugging, and low-level VM tooling in one CLI. Key features include a single CLI for the full contract lifecycle, native speed, and a Tolk-first workflow with built-in wrappers, testing utilities, and scripts. Acton is also ready for dApp development with project templates and automatically generated TypeScript wrappers. To get started with Acton, you can install it using the latest public installer with the following curl command: curl -LsSf https://github.com/ton-blockchain/acton/releases/latest/download/acton-installer.sh | sh. After installation, make sure acton is on your PATH and verify the installation with acton --version. Technical highlights include a fast test runner with fork mode, gas snapshots, coverage, mutation, and fuzzing testing. Acton also has a browser test UI for failed tests, traces, logs, and coverage inspection. Acton is suitable for developers looking to build and deploy TON smart contracts. With its comprehensive set of features and ease of use, Acton is a great choice for anyone looking to get started with TON development. In short, Acton is the ultimate toolkit for TON smart contract development - build, test, and deploy with ease. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 rasbt/LLMs-from-scratch is trending — and it deserves your attention. 🔗 https://github.com/rasbt/LLMs-from-scratch 📝 Implement a ChatGPT-like LLM in PyTorch from scratch, step by step ────────────────────────────── The rasbt/LLMs-from-scratch GitHub repository is an open-source project that allows users to build a large language model (LLM) from scratch. This repository is the official code repository for the book "Build a Large Language Model (From Scratch)". It provides a step-by-step guide on how to develop, pretrain, and finetune a GPT-like LLM. The code is designed to run on conventional laptops and automatically utilizes GPUs if available. The project includes a range of features, such as code for loading the weights of larger pretrained models for finetuning, and a troubleshooting guide for common issues. The repository is suitable for users with a strong foundation in Python programming and some experience with deep neural networks. The project's code is well-structured, with each chapter of the book including several exercises and solutions. In short, this project is perfect for anyone looking to dive into the world of LLMs and build their own model from scratch - and with this repository, you can literally build a large language model from scratch, one line of code at a time! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet apernet/hysteria: a gem from today's GitHub trending list. 🔗 https://github.com/apernet/hysteria 📝 Hysteria is a powerful, lightning fast and censorship resistant proxy. ────────────────────────────── Hysteria is a powerful and lightning-fast proxy that's also censorship-resistant. Its key features include multiple modes such as SOCKS5, HTTP Proxy, and TCP/UDP Forwarding, as well as blazing fast performance powered by a customized QUIC protocol. To get started with Hysteria, you can visit the official website for documentation and guides. From a technical standpoint,

Hysteria's protocol is designed to masquerade as standard HTTP/3 traffic

, making it difficult to detect and block. Hysteria is perfect for users seeking a cross-platform and easy-to-integrate proxy solution. In short: Hysteria is the ultimate proxy for a faster, freer internet - give it a try and experience the power of censorship resistance! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 imthenachoman/How-To-Secure-A-Linux-Server caught my eye on GitHub Trending today. 🔗 https://github.com/imthenachoman/How-To-Secure-A-Linux-Server 📝 An evolving how-to guide for securing a Linux server. ────────────────────────────── Securing a Linux Server Made Easy The GitHub repository "imthenachoman/How-To-Secure-A-Linux-Server" provides a comprehensive guide on securing a Linux server. The guide's purpose is to teach users how to secure their Linux servers, covering various topics such as SSH security, firewall configuration, and auditing. Key features of the guide include: * Step-by-step instructions for securing a Linux server * Code snippets for easy copy-and-paste * Links to additional resources for further learning To use the guide, simply follow the instructions in the order they are presented. The guide is organized in a logical order, with each section building on the previous one. From a technical perspective, the guide covers topics such as:

SSH security, including public/private keys and 2FA/MFA
Firewall configuration with UFW and iptables
Auditing tools such as Lynis and OSSEC

The guide is suitable for beginners and experienced users alike, although some basic knowledge of Linux is assumed. The guide is Linux distribution agnostic, making it applicable to most Linux distributions. In short, this guide is a must-read for anyone looking to secure their Linux server. So, secure your server today and sleep better tonight! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 ArthurBrussee/brush is trending — and it deserves your attention. 🔗 https://github.com/ArthurBrussee/brush 📝 3D Reconstruction for all ────────────────────────────── Brush is a 3D reconstruction engine that utilizes Gaussian splatting to create stunning visuals. It's designed to be highly compatible, running on macOS, windows, linux, AMD, Nvidia, Intel cards, Android, and even in a browser. This is achieved through the use of WebGPU compatible technology and the Burn machine learning framework. The key features of Brush include training, which supports COLMAP data and Nerfstudio formats, as well as masking images for more precise control. It also functions as a splat viewer, capable of loading .ply and .compressed.ply files, and can even stream data from a URL. From a technical standpoint, Brush is built using Rust and can be compiled to WASM for web use. It's also compatible with Android devices, making it a versatile tool for 3D reconstruction. Brush is perfect for developers, researchers, and anyone interested in 3D reconstruction and machine learning. With its broad compatibility and range of features, it's an exciting tool for exploring the possibilities of Gaussian splatting. One-liner takeaway: Brush is a powerful, widely compatible 3D reconstruction engine that's poised to revolutionize the field with its innovative use of Gaussian splatting and machine learning. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 mattpocock/skills caught my eye on GitHub Trending today. 🔗 https://github.com/mattpocock/skills 📝 Skills for Real Engineers. Straight from my .claude directory. ────────────────────────────── The mattpocock/skills GitHub repository is a collection of skills designed to improve the way you work with coding agents. The purpose of these skills is to address common failure modes in software development, such as misalignment between you and the agent, verbosity, and poor code quality. Key features include grilling sessions to ensure you and the agent are aligned, shared language to reduce verbosity, and feedback loops to improve code quality. To use these skills, simply run the skills.sh installer and pick the skills you want to install. Then, run the /setup-matt-pocock-skills command to configure the skills for your project. The repository includes a range of technical highlights, such as /grill-me and /grill-with-docs for alignment, /tdd for test-driven development, and /diagnose for debugging. These skills are designed for real engineers who want to improve their workflow and produce high-quality code. Whether you're working on a large project or just starting out, these skills can help you work more efficiently and effectively. In short, the mattpocock/skills repository is a game-changer for anyone working with coding agents - it helps you build better software, faster. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 Greedeks/GTweak just hit the trending charts — here's why it matters. 🔗 https://github.com/Greedeks/GTweak 📝 Portable Tool for an Ideal Windows Setup ────────────────────────────── The GTweak GitHub repository offers a comprehensive tool for customizing and optimizing Windows. Key features include activating Windows, disabling unnecessary services, and enhancing system performance. Users can execute custom scripts and remove pre-installed UWP apps. The tool is available in multiple languages and supports Windows 10 and 11. To get started, simply download the latest version and follow the instructions. The

GTweak

tool is designed for advanced users looking to tweak their Windows settings for optimal performance. With its wide range of functions and user-friendly interface, GTweak is a must-have for anyone looking to take control of their Windows experience. The GTweak tool is perfect for those who want to optimize their Windows settings without the hassle of manually editing system files or registry entries. Overall, GTweak is a powerful tool that offers a wide range of customization options and is suitable for both beginner and advanced users. GTweak: take control of your Windows experience and unlock its full potential. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe