Github Top Repositories

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🌟 OpenMOSS/MOSS-TTS caught my eye on GitHub Trending today. 🔗 https://github.com/OpenMOSS/MOSS-TTS 📝 MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS. ────────────────────────────── The MOSS-TTS Family is an open-source speech and sound generation model family designed for high-fidelity, high-expressiveness, and complex real-world scenarios. It covers stable long-form speech, multi-speaker dialogue, voice/character design, environmental sound effects, and real-time streaming TTS. The family includes MOSS-TTS, MOSS-TTSD, MOSS-VoiceGenerator, MOSS-TTS-Realtime, and MOSS-SoundEffect. Key features include long-speech generation, fine-grained control, and multilingual synthesis. The models are available on Hugging Face, ModelScope, and GitHub, with demos and tutorials provided. The MOSS-TTS Family is suitable for developers, researchers, and content creators looking for high-quality speech and sound generation capabilities. Technical highlights include the use of MossTTSDelay and MossTTSLocal architectures, which provide a balance between production readiness and objective performance. To get started, users can explore the Quickstart guide, which covers environment setup, basic usage, and fine-tuning. One-liner takeaway: With the MOSS-TTS Family, you can generate high-quality speech and sound effects for various applications, from voice assistants to interactive experiences. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet unclecode/crawl4ai: a gem from today's GitHub trending list. 🔗 https://github.com/unclecode/crawl4ai 📝 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here:https://discord.gg/jP8KfhDhyN ────────────────────────────── Crawl4AI is an open-source web crawler designed to turn the web into clean, LLM-ready Markdown. Its key features include fast and controllable crawling, adaptive intelligence to learn site patterns, and full control over sessions, proxies, and user scripts. To use Crawl4AI, you can install it via pip: pip install -U crawl4ai. Then, run a simple web crawl with Python:

import asyncio
from crawl4ai import *

async def main():
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url="https://www.nbcnews.com/business",
        )
        print(result.markdown)

if __name__ == "__main__":
    asyncio.run(main())

Crawl4AI is suitable for developers who need to extract data from websites and prepare it for large language models (LLMs). It's deployable anywhere, with zero keys required, and supports both CLI and Docker. The project is community-driven, with a growing list of features, including Markdown generation, structured data extraction, and browser integration. Crawl4AI is the perfect tool for anyone looking to build and own their data pipeline: Take control of your web data with Crawl4AI - the ultimate web crawler for developers. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 Lum1104/Understand-Anything just hit the trending charts — here's why it matters. 🔗 https://github.com/Lum1104/Understand-Anything 📝 Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. ────────────────────────────── The Understand Anything GitHub repository is an innovative tool that transforms any codebase, knowledge base, or documentation into an interactive knowledge graph. This graph can be explored, searched, and queried, making it easier to comprehend complex systems. The tool works with various platforms, including Claude Code, Codex, Copilot, and Gemini CLI. Key features include: - Guided Tours: auto-generated walkthroughs of the architecture - Fuzzy & Semantic Search: find anything by name or meaning - Diff Impact Analysis: see which parts of the system your changes affect - Persona-Adaptive UI: the dashboard adjusts its detail level based on the user To get started, simply install the plugin, analyze your codebase, and explore the interactive dashboard. The tool supports multiple languages and has a live demo available. The Understand Anything tool is perfect for developers, project managers, and anyone looking to gain a deeper understanding of complex systems. With its interactive knowledge graph and intuitive interface, it's an invaluable resource for anyone seeking to turn any codebase into an interactive knowledge graph. The tool is a game-changer for coding and knowledge management: it's not just a graph, it's a guide that teaches you how every piece fits together. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 codecrafters-io/build-your-own-x just hit the trending charts — here's why it matters. 🔗 https://github.com/codecrafters-io/build-your-own-x 📝 Master programming by recreating your favorite technologies from scratch. ────────────────────────────── The codecrafters-io/build-your-own-x GitHub repository is a treasure trove of resources for developers looking to dive deep into the world of programming. As Richard Feynman once said, "What I cannot create, I do not understand". This repo is based on that principle, providing a vast collection of step-by-step guides for re-creating popular technologies from scratch. You can find guides on building your own 3D Renderer, AI Model, Augmented Reality system, BitTorrent Client, Blockchain / Cryptocurrency, and many more, using a wide range of programming languages such as C++, Java, Python, JavaScript, and Rust. Whether you're a beginner or an experienced developer, this repository has something for everyone. So, start building and learning today! By working through these guides, you'll gain a deeper understanding of how things work under the hood and become a better programmer. One key takeaway: building something from scratch is the best way to truly understand it. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into revfactory/harness — fresh off the trending list. 🔗 https://github.com/revfactory/harness 📝 A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. ────────────────────────────── Harness is a team-architecture factory for Claude Code that helps create agent teams and skills tailored to specific domains. It uses six pre-defined team-architecture patterns: Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, and Hierarchical Delegation. With harness, you can say "build a harness for this project" and it will automatically generate agent definitions and skills. To use Harness, you can install it via the marketplace or direct installation as a global skill. The plugin has a simple structure, with a skills directory containing the main skill definition and references. You can trigger Harness with prompts like "Build a harness for this project" or "Design an agent team for this domain". Harness is part of the Claude Code ecosystem, living at the L3 Meta-Factory layer, and can coexist with other repositories like Archon and meta-harness. It's designed for developers, researchers, and anyone looking to streamline their workflow with Claude Code. Here's a sample

plugin install harness@harness-marketplace

to get you started. With Harness, you can create complex agent teams and skills in minutes, making it a game-changer for Claude Code users. So, what are you waiting for? Build a harness for your next project and experience the power of automated team-architecture design! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 obra/superpowers landed on trending. Worth a proper look. 🔗 https://github.com/obra/superpowers 📝 An agentic skills framework & software development methodology that works. ────────────────────────────── Superpowers is a software development methodology that enhances your coding agents with composable skills and a set of initial instructions. It's designed to help your agent use these skills effectively, making the development process more efficient and systematic. The key features of Superpowers include its ability to break down projects into manageable tasks, create implementation plans, and execute these plans through a subagent-driven development process. This process involves brainstorming, using-git-worktrees, writing-plans, subagent-driven-development, and test-driven-development, ensuring that your coding agent follows a structured approach to development. To use Superpowers, you'll need to install it separately for each coding agent you use, such as Claude Code, Codex CLI, or GitHub Copilot CLI. The installation process varies depending on the agent, but it's generally straightforward. From a technical standpoint, Superpowers is built around a Skills Library that includes skills for testing, debugging, collaboration, and more. This library provides a foundation for the methodology, allowing your coding agent to perform tasks such as test-driven-development, systematic-debugging, and brainstorming. Superpowers is designed for developers who want to improve their coding efficiency and productivity. Whether you're working on a personal project or a large-scale development effort, Superpowers can help you streamline your workflow and produce high-quality code. In short, Superpowers is a powerful tool that can take your coding skills to the next level - with Superpowers, your coding agent becomes a supercharged development partner. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 microsoft/markitdown just hit the trending charts — here's why it matters. 🔗 https://github.com/microsoft/markitdown 📝 Python tool for converting files and office documents to Markdown. ────────────────────────────── Introduction to MarkItDown: MarkItDown is a lightweight Python utility for converting various files to Markdown, suitable for use with Large Language Models (LLMs) and related text analysis pipelines. It supports a wide range of file formats, including PDF, PowerPoint, Word, Excel, images, audio, and more. Key Features: The utility preserves important document structure and content as Markdown, including headings, lists, tables, links, etc. It also supports optional dependencies for activating various file formats and has a plugin architecture for extending its functionality. Usage: MarkItDown can be used from the command line or as a Python library. It requires Python 3.10 or higher and can be installed using pip. The utility also supports Docker containers for easy deployment.

from markitdown import MarkItDown
md = MarkItDown()
result = md.convert("test.xlsx")
print(result.text_content)

Technical Highlights: MarkItDown uses LLMs for image descriptions and supports Azure Document Intelligence and Azure Content Understanding for high-quality document conversion. It also has a plugin for OCR support using LLM Vision. Audience: MarkItDown is designed for developers and researchers working with LLMs and text analysis pipelines. It is a useful tool for anyone looking to convert various file formats to Markdown. In summary, MarkItDown is a powerful and flexible utility for converting files to Markdown, with a wide range of features and supports for various file formats and plugins - convert anything to Markdown with MarkItDown. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into byoungd/English-level-up-tips — fresh off the trending list. 🔗 https://github.com/byoungd/English-level-up-tips 📝 An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程/英语学习/学英语 ────────────────────────────── English-level-up-tips is a comprehensive guide to improve your English skills. The purpose of this repo is to provide a detailed and systematic approach to learning English, covering various aspects such as understanding, vocabulary, listening, reading, speaking, and writing. The repo includes a new chapter on AI that focuses on how to effectively use AI tools like Gemini, ChatGPT, and Claude to accelerate your English learning. Key features include a well-structured curriculum, practical tips, and recommended resources. The guide is suitable for anyone looking to improve their English skills, from beginners to advanced learners. The creator of this guide hopes that it will bring a little help to those who need it. One-liner takeaway: Learning English should be a natural and enjoyable process, so start your journey with English-level-up-tips and make language learning a lifelong pleasure. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 DigitalPlatDev/FreeDomain just hit the trending charts — here's why it matters. 🔗 https://github.com/DigitalPlatDev/FreeDomain 📝 DigitalPlat FreeDomain: Free Domain For Everyone ────────────────────────────── DigitalPlat FreeDomain is all about making the web more accessible by offering free domain names to individuals and organizations. With no strings attached, you can register a unique domain and host it with your favorite DNS provider. The mission is to create an open space where everyone can have their own place online, regardless of budget. The project offers various domain extensions such as .DPDNS.ORG, .US.KG, and .QZZ.IO. To get started, simply visit the DigitalPlat FreeDomain Dashboard and follow the tutorial. With over 500,000 domains registered, DigitalPlat FreeDomain is a trusted choice. The community is growing, and you can join the official DigitalPlat FreeDomain Discord server to connect with others, get support, and stay updated. Takeaway: Get your digital identity with a free domain from DigitalPlat FreeDomain and unlock a world of possibilities – it's absolutely free! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 twentyhq/twenty just hit the trending charts — here's why it matters. 🔗 https://github.com/twentyhq/twenty 📝 The open alternative to Salesforce, designed for AI. ────────────────────────────── The Twenty GitHub repository offers an open-source CRM that provides building blocks for custom business needs. Its key features include defining objects, fields, and views as code, version control, and a set of tools for building, shipping, and managing applications. To get started with Twenty, you can sign up for a cloud workspace, scaffold a new app using the npx create-twenty-app my-app command, or self-host it on your own infrastructure. The repository uses a stack that includes TypeScript, Nx, NestJS, PostgreSQL, Redis, and React. The main audience for Twenty appears to be technical teams and developers who want a customizable CRM solution. In short, Twenty is an open-source CRM that lets you build and ship custom business applications like any other part of your stack. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 hardikpandya/stop-slop is trending — and it deserves your attention. 🔗 https://github.com/hardikpandya/stop-slop 📝 A skill file for removing AI tells from prose ────────────────────────────── The Stop Slop repo is a game-changer for refining AI-generated prose. Its purpose is to help Large Language Models (LLMs) like Claude identify and remove predictable patterns, such as phrases and structures, that make writing sound less human. To get started, you can add the skill to your Claude Code, upload reference files to your project knowledge, or include SKILL.md in your system prompt. The repo is structured into core instructions, references, and a license, making it easy to navigate. Key features include the ability to catch banned phrases, structural clichés, and enforce sentence-level rules to ensure writing sounds more authentic. The repo also includes a scoring system to evaluate writing based on dimensions like directness, rhythm, trust, authenticity, and density. This repo is perfect for developers and writers looking to improve the quality of AI-generated content. With its MIT license, you can use it freely and share it widely. Takeaway: With Stop Slop, you can teach AI to write like a human, and that's a story worth telling. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ Leonxlnx/taste-skill is making waves. Here's the full picture. 🔗 https://github.com/Leonxlnx/taste-skill 📝 Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop ────────────────────────────── The Taste Skill repository offers a collection of portable agent skills designed to enhance AI-built interfaces with stronger layout, typography, motion, and spacing. These skills are framework-agnostic and can be used with various coding agents like ChatGPT, Codex, or Claude Code. Key Features: The repository includes a range of skills, such as design-taste-frontend, gpt-taste, and image-to-code-skill, each with its unique functionality. The design-taste-frontend skill, for instance, reads the brief, infers the design language, and tunes three dials (VARIANCE, MOTION, DENSITY) to produce high-quality designs. Usage: To install the skills, use the npx skills add command followed by the GitHub repository URL. You can also install a single skill by its install name. For example: npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend". Technical Highlights: The skills are built using a combination of natural language processing and machine learning algorithms. They are designed to work seamlessly with popular coding agents and frameworks, making it easy to integrate them into your existing workflow. Audience: The Taste Skill repository is suitable for developers, designers, and researchers working with AI-built interfaces. Whether you're building a new project or looking to enhance an existing one, these skills can help you create high-quality, visually appealing designs. In a nutshell, the Taste Skill repository is a game-changer for anyone looking to elevate their AI-built interfaces - it's the secret sauce to making your designs go from bland to grand! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 affaan-m/ECC caught my eye on GitHub Trending today. 🔗 https://github.com/affaan-m/ECC 📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. ────────────────────────────── The ECC GitHub repository is a harness-native operator system designed for agentic work. It's built from real-world engineering workflows and provides a complete system with skills, memory optimization, continuous learning, security scanning, and more. Key features include production-ready agents, skills, hooks, rules, and MCP configurations, all of which are evolved from 10+ months of intensive daily use in building real products. The system works across various AI agent harnesses, including Codex, Claude Code, Cursor, OpenCode, Gemini, Zed, and GitHub Copilot. From a technical perspective, ECC uses a range of programming languages, including TypeScript, Python, Go, Java, and Perl. The project has a large community of contributors, with over 170+ contributors and 12+ language ecosystems supported. The repository is well-documented, with a range of guides available, including a shorthand guide, longform guide, and security guide. These guides cover topics such as token optimization, memory persistence, continuous learning, and security. ECC is suitable for a wide range of users, from developers and engineers to business professionals and researchers. Whether you're looking to build real-world products or simply want to learn more about agentic work, ECC has something to offer. Overall, ECC is a powerful tool for anyone looking to work with AI agent harnesses. With its comprehensive feature set and large community of contributors, it's an excellent choice for anyone looking to get started with agentic work. ECC stays free and open-source, forever: one repository to rule them all, one harness to find them. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ harry0703/MoneyPrinterTurbo is making waves. Here's the full picture. 🔗 https://github.com/harry0703/MoneyPrinterTurbo 📝 利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM. ────────────────────────────── MoneyPrinterTurbo is a project that generates high-definition videos with automatically created scripts, subtitles, and background music. The tool supports both API and Web interface, allowing users to input a theme or keyword and generate a video. Key features include: - MVC architecture for easy maintenance - Support for AI-generated scripts and custom scripts - Multiple high-definition video sizes (9:16 and 16:9) - Batch video generation and video clip duration setting - Support for Chinese and English scripts - Multiple voice synthesis and real-time preview - Subtitle generation with adjustable font, position, color, and size - Background music with random or specified music files The project uses various technical tools, including Streamlit for the web interface, ImageMagick for image processing, and ffmpeg for video processing. It also supports multiple language models and text-to-speech services. To use MoneyPrinterTurbo, you can either deploy it locally using Docker or manually install the required dependencies, or use the provided one-click startup package for Windows. The project also offers a web interface for easy access. The target audience for this project includes content creators, marketers, and small business owners who want to generate high-quality videos quickly and easily. In summary, MoneyPrinterTurbo is a powerful tool for generating high-definition videos with automated scripts, subtitles, and background music, making it an ideal solution for content creators and marketers. Automate your video creation with MoneyPrinterTurbo and take your content to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe