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📌 Spotted on GitHub Trending: TapXWorld/ChinaTextbook — let's break it down.

🔗 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 providing free access to Chinese textbooks, aiming to promote compulsory education and bridge the educational gap between regions.

The repository contains a wide range of mathematics textbooks for primary, junior high, and senior high school, as well as university-level mathematics materials, including linear algebra, discrete mathematics, and probability theory.

To use the repository, simply browse through the directories and download the desired textbooks. Note that some files may be split into multiple parts due to GitHub's file size limits.

To merge these split files, you can use the provided mergePDFs-windows-amd64.exe program.

The target audience for this repository includes students, teachers, and anyone interested in Chinese education.

The takeaway: empowering education, one free textbook at a time.

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🔥 Significant-Gravitas/AutoGPT is trending — and it deserves your attention.

🔗 https://github.com/Significant-Gravitas/AutoGPT
📝 AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
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The AutoGPT GitHub repository is an open-source platform that enables users to build, deploy, and run AI agents that can automate various tasks and workflows. With AutoGPT, users can describe an outcome in plain English or use a visual builder to shape every step of the process, and then run the agent on demand, on a schedule, or from a trigger. The platform offers four main surfaces: AutoPilot, Agents, Marketplace, and Build, which provide a range of features and functionalities for creating and managing AI agents.

The AutoGPT platform is available in both hosted and self-hosted options, with the hosted version providing a managed infrastructure and model access, while the self-hosted version requires users to provide their own infrastructure and model API keys. The platform supports a wide range of integrations with popular apps and services, including Gmail, Google Calendar, GitHub, and Slack.

AutoGPT is designed for a wide range of users, from individuals to businesses, and offers a range of features and functionalities that can help automate various tasks and workflows. Whether you're looking to automate executive operations, sales, marketing, engineering, customer support, or research tasks, AutoGPT provides a powerful and flexible platform for creating and managing AI agents.

One-liner takeaway: AutoGPT is a game-changing platform that empowers users to automate tasks and workflows with ease, giving them back 10 hours every week to focus on what matters most.

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🌟 tirth8205/code-review-graph caught my eye on GitHub Trending today.

🔗 https://github.com/tirth8205/code-review-graph
📝 Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
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The code-review-graph tool is designed to optimize your code review process by building a structural map of your codebase and tracking changes incrementally. This allows your AI assistant to focus on the most relevant parts of your code, reducing the number of tokens it needs to read and making the review process more efficient.

The key features of code-review-graph include its ability to parse your codebase into an abstract syntax tree (AST) using Tree-sitter, store the AST as a graph of nodes and edges, and query the graph to determine the minimal set of files that need to be reviewed.

To use code-review-graph, you can install it via pip install code-review-graph and then run code-review-graph install to set up the tool for your project. The tool supports a wide range of programming languages, including Python, JavaScript, and Java, and allows you to add support for custom languages by creating a languages.toml file.

code-review-graph is designed for developers who want to optimize their code review process and reduce the time and resources required for code reviews. With its advanced features and support for custom languages, it's an ideal tool for any development team looking to streamline their workflow.

In short, code-review-graph helps you review smarter, not harder, by giving your AI assistant the context it needs to focus on the most important parts of your code.

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💡 esengine/DeepSeek-Reasonix just hit the trending charts — here's why it matters.

🔗 https://github.com/esengine/DeepSeek-Reasonix
📝 DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
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Reasonix is a DeepSeek-native AI coding agent designed for your terminal. It's engineered around prefix-cache stability, keeping token costs low across long sessions. The legacy TypeScript line (Reasonix 0.x) is in maintenance mode, with active development moved to the Go rewrite in the main-v2 branch.

To install Reasonix, run npm install -g reasonix or use npx reasonix code for a one-time execution. It works on macOS, Linux, and Windows. The dsnix alias is also available for a shorter command.

Key features include:

* Coding agent: Launches a coding session with filesystem and shell tools.
* Chat mode: A lighter mode for plain chat without disk access.
* Skills and memory: Author custom skills and manage user-private knowledge.
* Configuration: Customizable via a JSON file and per-project overrides.

The target audience includes developers and power users who want to leverage AI assistance in their coding workflow.

Technical highlights include:

* prefix-cache stability for low token costs.
* DeepSeek API integration for seamless AI functionality.
* Customizable configuration for tailored workflows.

In summary, Reasonix is a powerful AI coding agent that streamlines your development workflow with its unique prefix-cache stability and customizable features. Try it out and experience the future of coding assistance!

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🎯 obra/superpowers landed on trending. Worth a proper look.

🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology that gives your coding agents a set of composable skills to work more efficiently. It starts by asking you what you're trying to achieve, then breaks down the work into manageable tasks with clear implementation plans. The agent works autonomously, following a subagent-driven-development process, and emphasizes test-driven-development and systematic debugging.

Key features include a skills library with testing, debugging, and collaboration tools, as well as a brainstorming feature that refines rough ideas through questions and presents designs for validation. The methodology is designed to be systematic and simple, with a focus on complexity reduction and evidence-based decision making.

To get started, you can install Superpowers as a plugin for various coding agents, including Claude Code, Antigravity, and Codex App. The installation process varies depending on the agent, but most involve installing a plugin or package from the Superpowers repository.

The target audience for Superpowers is developers who want to work more efficiently and effectively with their coding agents. The methodology is designed to be flexible and adaptable, with a focus on community support and continuous improvement.

One-liner takeaway: Superpowers is a game-changer for coding agents, empowering them to work more efficiently and effectively, and helping developers achieve their goals with ease.

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