Github Top Repositories

🔍 Deep-diving into TapXWorld/ChinaTextbook — fresh off the trending list.

🔗 https://github.com/TapXWorld/ChinaTextbook
📝 所有小初高、大学PDF教材。
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ChinaTextbook is an open-source repository on GitHub, providing a vast collection of Chinese textbooks for primary, secondary, and university education. The purpose of this project is to make these resources accessible to everyone, promoting free education and bridging the gap between different regions.

The repository includes a wide range of textbooks for various subjects, such as mathematics, with PDF files available for download. To overcome GitHub's file size limitations, larger files are split into smaller parts, and a mergePDFs tool is provided to combine them.

This project is useful for students, teachers, and anyone interested in Chinese education. It's also a great resource for overseas Chinese who want their children to learn about Chinese education.

The project is supported by a Telegram community, where you can get the latest updates and share your ideas.

The takeaway: Learning knows no borders with ChinaTextbook!

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🧠 Channel: https://t.me/GithubRe

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💡 hexo-ai/sia just hit the trending charts — here's why it matters.

🔗 https://github.com/hexo-ai/sia
📝 SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
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SIA: Self-Improving AI is a framework that enables AI systems to autonomously improve their performance on benchmark tasks. The system operates by coordinating three main types of AI agents: Meta-Agent, Target Agent, and Feedback Agent. The Meta-Agent generates an initial Target Agent tailored to the task, while the Feedback Agent reviews the Target Agent's performance logs and updates it accordingly.

To use SIA, you can install it using pip install 'sia-agent[claude]' or pip install 'sia-agent[openhands]', then run it with sia run --task gpqa --max_gen 5 --run_id 1. You can also visualize the results with sia web.

The framework has achieved impressive results, including a 56.6% gain on LawBench, 91.9% runtime reduction on GPU kernels, and 502% improvement on single-cell RNA denoising over the baseline. SIA is suitable for developers and researchers looking to improve the performance of their AI systems.

Key takeaway: SIA is a powerful tool for autonomously improving AI system performance, and its potential applications are vast – the future of AI development just got a whole lot brighter!

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🧠 Channel: https://t.me/GithubRe

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🌟 mattermost/mattermost caught my eye on GitHub Trending today.

🔗 https://github.com/mattermost/mattermost
📝 Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..
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Mattermost is an open core, self-hosted collaboration platform that offers chat, workflow automation, voice calling, screen sharing, and AI integration. The platform is written in Go and React, and runs as a single Linux binary, relying on PostgreSQL.

To get started, you can deploy Mattermost on-premises or try it for free in the cloud. The platform has a variety of use cases, including DevSecOps, Incident Resolution, and IT Service Desk.

Mattermost has native mobile and desktop apps for Android, iOS, Windows PC, macOS, and Linux. The platform also offers a range of installation guides, including Docker, Ubuntu, and Kubernetes.

The platform is suitable for developers, system administrators, and business users who want a self-hosted collaboration platform with a range of features and integrations.

Mattermost is a powerful tool for teams and organizations - join the community today and experience the benefits of self-hosted collaboration!

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🧠 Channel: https://t.me/GithubRe

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📌 Spotted on GitHub Trending: bannedbook/fanqiang — let's break it down.

🔗 https://github.com/bannedbook/fanqiang
📝 翻墙-科学上网
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Fanqiang is a comprehensive project library for scientific internet access and wall-jumping tools, providing various tutorials and software for different devices and operating systems. The project includes Chrome one-click wall-jumping package, Android wall-jumping APP tutorials, iPhone/iPad/iOS V2ray/SS wall-jumping APP tutorials, and more. It also covers Windows V2ray/SS/SSR wall-jumping tutorials, Mac翻墙软件教程, and Linux翻墙教程. The goal is to provide free and stable internet access to users.
Takeaway: Freedom to access the internet, no matter where you are.

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🧠 Channel: https://t.me/GithubRe

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🔥 apple/container is trending — and it deserves your attention.

🔗 https://github.com/apple/container
📝 A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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The apple/container repo is home to a powerful tool that lets you create and run Linux containers on your Mac, essentially treating them as lightweight virtual machines. It's built with Swift and optimized for Apple silicon, allowing for seamless integration with your Mac.

Key features include consuming and producing OCI-compatible container images, which means you can pull and run images from any standard container registry, as well as push your own built images to those registries. The container tool utilizes the Containerization Swift package for low-level container management.

To get started, you'll need a Mac with Apple silicon and macOS 26 or later. You can download the latest signed installer package from the GitHub release page, then follow the installation instructions.

The project is under active development, and while it's not yet stable, it's definitely worth checking out. The documentation provides a guided tour, technical overview, and command reference, making it easy for developers to dive in.

Whether you're a seasoned developer or just starting out, the apple/container project has something to offer - so why not containerize your workflow and take your development to the next level: Run anywhere, deploy everywhere.

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🧠 Channel: https://t.me/GithubRe

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🎯 addyosmani/agent-skills landed on trending. Worth a proper look.

🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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The Agent Skills GitHub repository provides a set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices used by senior engineers across various development phases. The repository includes 7 slash commands that map to the development lifecycle, allowing agents to activate the right skills automatically.

To use these skills, you can install them via various methods, including Claude Code, Cursor, Antigravity CLI, Gemini CLI, and more. The repository contains a total of 24 skills, each representing a structured workflow with steps, verification gates, and anti-rationalization tables.

The skills are categorized into Define, Plan, Build, Verify, Review, and Ship phases, covering aspects such as idea refinement, test-driven development, and performance optimization.

Overall, the Agent Skills repository provides a comprehensive set of skills to help AI agents develop software consistently and efficiently. With these skills, you can automate your development workflow and ship faster with confidence.

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🧠 Channel: https://t.me/GithubRe

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