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Daily GitHub Project Recommendation: ChinaTextbook - Your Free Digital Textbook Library!

Today, we’re excited to introduce a GitHub gem project full of humanistic care, aiming to break down educational resource barriers: TapXWorld/ChinaTextbook! If you are looking for Chinese textbooks for primary, middle, high school, or even university levels, or wish to provide domestic educational resources for children living overseas, this project is absolutely not to be missed. It’s more than just a code repository; it’s a digital library brimming with a vast collection of PDF textbooks.

Project Highlights

The ChinaTextbook project has garnered over 52,000 stars and 11,000 forks on GitHub, attracting significant attention daily, thanks to its profound social significance and outstanding practicality. Its core values lie in:

  • Promoter of Educational Equity: The project initiator keenly observed that while many educational resources are theoretically free, actual access remains restricted, with some even profiting from them. ChinaTextbook aims to centralize and open-source these resources, combating unfair “paywalled knowledge,” promoting universal compulsory education, and helping to alleviate regional educational poverty.
  • Comprehensive Textbook Coverage: Whether it’s for primary school, junior high, senior high, or fundamental university mathematics subjects (such as Advanced Mathematics, Linear Algebra, Probability Theory, Discrete Mathematics), you can find the corresponding PDF textbooks here. This provides immense convenience for students, parents, self-learners, and even educators.
  • Benefiting Global Chinese Communities: Notably, the project also considers the needs of overseas Chinese, allowing their children easy access to and study of domestic educational content, thereby preserving Chinese culture.
  • Thoughtful Problem Solutions: Due to GitHub’s restrictions on large file uploads, some textbooks are split into multiple smaller files. However, the project provides an easy-to-use merge program, allowing users to complete the merge with a double-click, demonstrating humanistic care in the details.

Applicable Scenarios

This project is particularly suitable for the following groups:

  • Students and parents seeking free, legitimate textbooks.
  • Teachers providing tutoring or preparing lessons.
  • Families wishing to provide domestic educational resources for their children overseas.
  • Lifelong learners who are self-studying specific subjects and need textbook references.

How to Get Started

Want to dive into this massive digital textbook library? It’s very simple!

Simply visit the GitHub repository, navigate the directory structure to find the grade and subject you need, and click the link to download the PDF file. If you encounter split files, please follow the instructions in the README to download and use the provided merge program.

Call to Action

ChinaTextbook is a project that truly embodies the open-source spirit and gives back to society through concrete actions. If you also resonate with its philosophy, we welcome you to explore this valuable resource and share it with friends who need it. You can also support the project’s development through the Telegram community or by donating, jointly contributing to educational equity!

Daily GitHub Project Recommendation: Stagehand - Say Goodbye to Tedium with an AI-Driven Smart Browser Automation Framework!

Today, we’re bringing you an innovative project that has garnered 17,000+ stars on GitHub: browserbase/stagehand. Hailed as an “AI browser automation framework,” it aims to revolutionize the way you interact with web pages and automate tasks, making complex operations simpler and smarter than ever before.

Project Highlights

Stagehand’s core value lies in perfectly bridging the two extremes of traditional browser automation tools: either requiring you to write a lot of low-level code (like Selenium, Playwright) or relying on highly intelligent but sometimes unpredictable AI agents. Stagehand offers an elegant solution, allowing you to flexibly choose when to use the precision of code and when to leverage the powerful understanding of AI.

  • Intelligent Hybrid Mode: This is Stagehand’s most compelling feature. When you face familiar pages or require precise control, you can use its built-in Playwright functionality; however, when you need to navigate unfamiliar pages, handle complex and variable elements, or simply want to describe your intent in natural language, AI comes into play, significantly boosting development efficiency and task adaptability.
  • Predictable AI Actions: Unlike traditional AI agents, Stagehand allows you to preview the actions AI will perform and easily cache repeatable operations. This not only saves time and LLM token costs but, more importantly, ensures the stability and controllability of automation tasks in production environments.
  • One-Click Integration of Cutting-Edge AI Models: It enables you to integrate leading Computer Use models like OpenAI and Anthropic with a single line of code, effortlessly implementing higher-level automation logic, giving your browser assistant stronger environmental awareness and decision-making capabilities.

Technical Details and Applicable Scenarios

Stagehand is primarily developed using TypeScript, relying on Playwright’s robust browser automation capabilities underneath. This means you can enjoy the convenience of modern frontend development while leveraging Playwright’s powerful support for various browsers and operating systems.

It is ideal for scenarios requiring large-scale web data scraping, automated testing, smart form filling, complex user journey simulation, or any situation needing deep AI interaction with the browser. Imagine telling the AI “click this button and find the latest PR,” then precisely extracting information with code—the efficiency will be a quantum leap.

How to Get Started

Want to experience Stagehand’s powerful features? You can quickly start your first project with the following command:

npx create-browser-app

For more detailed documentation and usage guides, please visit: docs.stagehand.dev

Explore more project details by visiting Stagehand’s GitHub repository:https://github.com/browserbase/stagehand

Call to Action

If you are looking for the next-generation browser automation solution, or are curious about development patterns combining AI with code, then Stagehand is definitely worth your deep exploration. Give it a star, join their community, and contribute to the future of this project!

Daily GitHub Project Recommendation: SurfSense - Your Private AI Research Assistant with Infinitely Expandable Knowledge Base!

Hello, GitHub explorers! Today, we’re diving into an exciting project called SurfSense, which is rapidly becoming a powerful open-source alternative to tools like NotebookLM and Perplexity. Imagine having a highly customizable AI research agent that not only understands your queries but also delves into your personal knowledge base and various external sources for information retrieval. SurfSense is designed precisely for this!

Project Highlights

SurfSense is more than just a simple search tool; it’s a powerful “second brain” that seamlessly connects your personal data with global information. Its core value lies in providing an open-source, self-hosted solution, giving you complete control over your data and AI assistant.

  • Infinite Knowledge Connection: SurfSense can connect to a vast array of external data sources, including major search engines (Tavily, LinkUp), collaboration platforms (Slack, Linear, Jira, ClickUp, Confluence, Discord), productivity tools (Notion, Gmail, Google Calendar), content platforms (YouTube, GitHub), and more. This means it can retrieve information from almost everywhere you work and live, integrating it into your knowledge base.
  • Omni-directional File Support: Whether it’s documents, images, or videos, SurfSense supports uploading over 50 file formats, allowing you to easily save various personal files to your knowledge base for intelligent searching and interaction.
  • Smart Interactive Experience: It offers powerful natural language search and content chat features, enabling you to get citation-backed answers as if conversing with an expert, greatly enhancing research efficiency and information accuracy.
  • Privacy-First and Local Support: SurfSense supports using Ollama-like local LLMs, allowing you to enjoy the convenience of AI while ensuring data privacy. Its fully self-hosted nature also keeps your data securely in your hands.
  • Cutting-Edge AI Technology: The project integrates advanced RAG (Retrieval-Augmented Generation) technology, supporting over 100 LLMs and 6000+ embedding models. It employs strategies such as hierarchical indexing and hybrid search (semantic + full-text search combined with Reciprocal Rank Fusion) to ensure precise and efficient retrieval results.
  • Innovative Podcast Generation: A delightful highlight is its lightning-fast podcast generation capability, which can convert chat conversations into a 3-minute engaging audio content within 20 seconds, offering a brand-new tool for content creators.
  • Cross-Browser Extension: Its unique browser extension helps you save any web page content, easily capturing pages even when authentication is required.

Technical Details and Applicable Scenarios

SurfSense primarily uses Python as its backend language, built upon FastAPI, LangChain, and LangGraph, combined with PostgreSQL and pgvector for efficient vector search. The frontend utilizes Next.js 15, React 19, and TypeScript to deliver a smooth, modern user experience. For deployment, the combination of Docker and Docker Compose makes setting up the entire system exceptionally simple.

This project is particularly suitable for developers, researchers, content creators, and anyone seeking efficient information management and intelligent assistance who needs to manage large amounts of information, conduct in-depth research, or wishes to integrate personal/team knowledge bases with AI capabilities.

How to Get Started

SurfSense is under active development, but its potential is immense. If you’re interested in it, you can easily get started in two ways:

  1. Docker Installation: The simplest and quickest method, with all dependencies containerized.
  2. Manual Installation: If you require more granular control and customization.

For detailed installation guides and prerequisites (such as ETL service configuration and API Key setup), please refer to the project documentation.

Call to Action

SurfSense’s community is very active. If you are interested in personal AI knowledge management and research, consider giving this project a ⭐, join their Discord community to participate in discussions, contribute your ideas, and collectively shape the future of SurfSense!