Github Top Repositories

🚀 Meet DioxusLabs/dioxus: a gem from today's GitHub trending list. 🔗 https://github.com/DioxusLabs/dioxus 📝 Fullstack app framework for web, desktop, and mobile. ────────────────────────────── Dioxus is a cross-platform framework that lets you build web, desktop, and mobile apps with a single codebase. It features zero-config setup, integrated hot-reloading, and signals-based state management. With Dioxus, you can create fullstack applications that integrate seamlessly with backend functionality using Server Functions. The framework also includes a bundler for deploying to various platforms. Here's an example of a simple counter app in Dioxus:

fn app() -> Element {
    let mut count = use_signal(|| 0);

    rsx! {
        h1 { "High-Five counter: {count}" }
        button { onclick: move |_| count += 1, "Up high!" }
        button { onclick: move |_| count -= 1, "Down low!" }
    }
}

Dioxus has a strong focus on community and documentation, with a very active Discord and GitHub community, as well as comprehensive documentation. It supports a wide range of platforms, including web, desktop, mobile, and server-side rendering. Overall, Dioxus is a powerful and flexible framework that makes it easy to build complex, cross-platform apps. With its unique features and strong community support, it's an excellent choice for developers looking to create high-quality, fullstack applications. Write once, run anywhere - that's the power of Dioxus! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ chrislgarry/Apollo-11 is making waves. Here's the full picture. 🔗 https://github.com/chrislgarry/Apollo-11 📝 Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules. ────────────────────────────── The Apollo-11 GitHub repository is a fascinating project that showcases the original guidance computer source code for the Apollo 11 mission's Command and Lunar Modules. This repository, available in multiple languages, aims to provide a accurate representation of the original source code, and welcomes pull requests to correct any discrepancies between the transcribed code and the original scans. Key features include the Comanche055 and Luminary099 source code, which can be compiled using Virtual AGC. The project has been digitized by the Virtual AGC and MIT Museum teams, with contributions from various individuals. The repository is suitable for space enthusiasts, historians, and developers interested in the Apollo 11 mission and its technology. To get started, simply clone the repository and explore the CONTRIBUTING.md file for guidelines on contributing to the project. One punchy takeaway: The Apollo-11 repository is a cosmic time capsule, preserving the code that made history and inspiring new generations of space enthusiasts and developers. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 hyprwm/Hyprland landed on trending. Worth a proper look. 🔗 https://github.com/hyprwm/Hyprland 📝 Hyprland is an independent, highly customizable, dynamic tiling Wayland compositor that doesn't sacrifice on its looks. ────────────────────────────── Hyprland is a dynamic tiling Wayland compositor that offers a unique blend of looks and functionality. With its highly customizable nature, users can tailor the experience to their preferences. Key features include eyecandy such as gradient borders, blur, and animations, as well as powerful plugin support and a built-in plugin manager. To get started, users can check out the installation guide and quick start tutorial. The compositor also boasts tearing support for improved gaming performance, custom bezier curves for smooth animations, and socket-based IPC for easy communication between components. From a technical standpoint, Hyprland is 100% independent, with no dependencies on wlroots, libweston, kwin, or mutter. The codebase is easily expandable and readable, making it a great choice for developers who want to contribute. The target audience for Hyprland includes power users who want a high degree of customization, developers who appreciate the fast and active development cycle, and anyone looking for a bleeding-edge Wayland compositor. In short, Hyprland is the perfect choice for those who want a fast, customizable, and feature-rich Wayland compositor - and with its active community and extensive documentation, it's an excellent option for anyone looking to take their desktop experience to the next level. Hyprland: where looks meet functionality and customization knows no bounds. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ AlexsJones/llmfit is making waves. Here's the full picture. 🔗 https://github.com/AlexsJones/llmfit 📝 Hundreds of models & providers. One command to find what runs on your hardware. ────────────────────────────── Meet llmfit, a terminal tool that simplifies the process of finding and running large language models (LLMs) on your local hardware. Its purpose is to detect your system's RAM, CPU, and GPU, then score hundreds of models across quality, speed, fit, and context dimensions. This allows you to quickly identify which models will run well on your machine. Key features include an interactive TUI, classic CLI mode, support for multi-GPU setups, MoE architectures, dynamic quantization selection, and local runtime providers like Ollama and llama.cpp. You can browse models, benchmark them on your hardware, and even contribute your benchmarking results back to the project. Technical highlights include a memory-bandwidth model for estimating speed, runtime sampling, and real community measurements. The tool is well-documented, with guides for getting started, using the TUI, benchmarking, and contributing to the project. Audience: developers, researchers, and anyone interested in running LLMs on their local hardware. Whether you're looking for a simple way to serve models or need a more advanced tool for managing local LLM instances, llmfit is worth exploring. llmfit is easy to install via various methods, including Scoop, Homebrew, and pip. With its permissive MIT license, you're free to use and contribute to the project. In short, llmfit is a powerful tool that helps you find and run the right LLMs on your hardware. Try it out and see how it can simplify your workflow: "Run the right model, on your hardware, in minutes – not hours." ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into tradesdontlie/tradingview-mcp — fresh off the trending list. 🔗 https://github.com/tradesdontlie/tradingview-mcp 📝 AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation ────────────────────────────── The TradingView MCP Bridge is a personal AI assistant for your TradingView Desktop charts. It connects your locally running TradingView app to Claude Code via Chrome DevTools Protocol, enabling AI-assisted chart analysis, Pine Script development, and workflow automation. Key features include: - Pine Script development: write, inject, compile, debug, and iterate on scripts with AI assistance - Chart navigation: change symbols, timeframes, zoom to dates, add/remove indicators - Visual analysis: read chart indicator values, price levels, and annotations - Draw on charts: trend lines, horizontal lines, rectangles, text annotations Usage is straightforward: install the bridge, launch TradingView with the debug port, and add the bridge to your Claude Code MCP config. From a technical perspective, the bridge uses the Chrome DevTools Protocol to interact with your locally running TradingView Desktop instance. It does not connect to TradingView's servers, modify any files, or intercept network traffic. This tool is designed for researchers and developers interested in exploring human-AI collaboration in financial workflows. In summary, the TradingView MCP Bridge empowers your AI assistant to interact with your TradingView charts, and with great power comes great responsibility: use it to augment your trading workflow and stay compliant with TradingView's Terms of Use. One-liner takeaway: The TradingView MCP Bridge unlocks AI-assisted trading workflows, giving you a competitive edge in the markets. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: every-app/open-seo — let's break it down. 🔗 https://github.com/every-app/open-seo 📝 Open source alternative to Semrush and Ahrefs ────────────────────────────── OpenSEO is an open-source alternative to expensive SEO tools like Semrush and Ahrefs. It's an all-in-one SEO tool that you can control, with a pay-as-you-go model. You can connect it with AI agents like Claude Code, OpenClaw, or Hermes, and even build your own custom skills. The key features of OpenSEO include keyword research, rank tracking, competitor insights, backlinks, site audits, and AI visibility. You can use it for free on their website, or self-host it using Docker or Cloudflare. When self-hosting, you'll need a DataForSEO API key, which you can pay for directly. OpenSEO is perfect for individuals and businesses looking for a cost-effective and customizable SEO solution. Whether you're a seasoned developer or just starting out, OpenSEO is a great tool to have in your arsenal. So why not give it a try and take control of your SEO today? Break free from expensive SEO tools and unlock your website's full potential with OpenSEO! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into AstrBotDevs/AstrBot — fresh off the trending list. 🔗 https://github.com/AstrBotDevs/AstrBot 📝 AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨ ────────────────────────────── AstrBot is an open-source, all-in-one chatbot platform that integrates with popular instant messaging apps, providing a reliable and scalable conversational AI infrastructure for individuals, developers, and teams. Its key features include AI LLM conversations, multimodal support, agent platforms, and plugin extensions with over 1000 plugins available. AstrBot supports multiple platforms such as QQ, WeChat Work, Feishu, DingTalk, Telegram, Slack, and more. The platform also offers various deployment methods, including one-click deployment, Docker deployment, desktop application deployment, and launcher deployment. Technical highlights of AstrBot include its support for internationalization, agent sandbox for safe execution of code, and webUI support. AstrBot is suitable for a wide range of audiences, from individuals building personal AI companions to enterprises creating intelligent customer service systems. In a nutshell, AstrBot is a powerful tool for building conversational AI applications, and its flexibility and customizability make it an excellent choice for anyone looking to create a chatbot. Get started with AstrBot today and discover a new world of conversational AI possibilities! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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💡 oblien/openship just hit the trending charts — here's why it matters. 🔗 https://github.com/oblien/openship 📝 Self-hosted deployment platform ────────────────────────────── Openship is an open-source, self-hostable deployment platform that simplifies the process of pushing code, shipping containers, and managing infrastructure. With built-in CI/CD, zero-config pipelines, and support for any stack, Openship streamlines the deployment process. The platform offers a range of features, including built-in CI/CD, any stack support, full backend management, and real-time monitoring. You can deploy projects using the CLI, desktop app, or web dashboard, and manage infrastructure on Openship Cloud, any Linux server, or multi-server setups. Technical highlights include standard Docker containers for portability, auto-scaling on cloud, and real-time monitoring for live build logs and container metrics. The platform is suitable for solo devs and teams alike, with a REST API and MCP for automation and tooling integration. To get started, simply run

npm i -g openship

or

curl -fsSL https://get.openship.io | sh

, then

openship up

to install and start the service. One-liner takeaway: Openship simplifies deployment and infrastructure management, making it easier to push code and ship containers, all from a single platform. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet 1jehuang/jcode: a gem from today's GitHub trending list. 🔗 https://github.com/1jehuang/jcode 📝 The most intelligent agent harness for code ────────────────────────────── The jcode GitHub repository offers a next-generation coding agent harness designed for multi-session workflows, infinite customizability, and high performance. Its key features include a human-like memory system that automatically recalls relevant information, and a highly efficient architecture that minimizes RAM usage and boot time. To use jcode, you can install it via a simple script on macOS, Linux, or Windows. The installation process is straightforward, and detailed instructions are provided in the repository. From a technical standpoint, jcode stands out for its optimized performance and resource efficiency. It boasts significantly lower RAM usage and faster boot times compared to other tools like pi, Codex CLI, and GitHub Copilot CLI. The target audience for jcode appears to be developers and power users seeking a high-performance, customizable coding agent that can handle complex workflows and provide intelligent memory recall. In short, jcode is a game-changer for coding workflows - it's fast, efficient, and intelligent. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet earthtojake/text-to-cad: a gem from today's GitHub trending list. 🔗 https://github.com/earthtojake/text-to-cad 📝 A collection of agent skills for CAD, robotics and hardware design ────────────────────────────── The CAD Skills library is a game-changer for CAD, robotics, and hardware design agents. It offers a range of skills for generating, inspecting, and handing off CAD and robot-description artifacts. With text-to-cad, you can create and edit CAD models from plain-language or image requests, and export them to various formats like STEP, STL, and 3MF. The library also includes skills for CAD viewing, robotics, and simulation. To get started, you can install the library using the Skills CLI with the command npx skills install earthtojake/text-to-cad. The library is suitable for developers, designers, and engineers who want to streamline their CAD and robotics workflows. Overall, CAD Skills is a powerful tool that can help you design, simulate, and manufacture with ease - and that's a recipe for innovation! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 ayghri/i-have-adhd is trending — and it deserves your attention. 🔗 https://github.com/ayghri/i-have-adhd 📝 A skill for your coding agent to stop it from burying the answer. ADHD-friendly output. ────────────────────────────── The i-have-adhd GitHub repository offers a unique solution for individuals with ADHD, providing a coding assistant skill that streamlines outputs and eliminates unnecessary information. To get started, you can install the skill using Claude Code or Codex by running the following commands:

claude plugin marketplace add ayghri/i-have-adhd
claude plugin install i-have-adhd@i-have-adhd

or

codex plugin marketplace add ayghri/i-have-adhd --ref main
codex plugin add i-have-adhd@i-have-adhd

The key features of this skill include leading with the next action, numbering multi-step tasks, and ending with a concrete next step. It also suppresses tangents, restates the state every turn, and provides specific time estimates. The repository is suitable for developers and individuals with ADHD who want to improve their productivity and focus. It's technically built with a set of 10 rules that can be customized by forking the repository and editing the `SKILL.md` file. Takeaway: This skill helps you get straight to the point and take action, making it a valuable tool for anyone looking to boost their productivity! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet tirth8205/code-review-graph: a gem from today's GitHub trending list. 🔗 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. ────────────────────────────── Code Review Graph is a tool that helps AI coding assistants review code smarter, not harder. It builds a structural map of your codebase using Tree-sitter and tracks changes incrementally, providing your AI assistant with precise context via MCP so it only reads what matters. Key features include install, build, and uninstall commands, as well as support for multiple AI coding platforms like Codex, Claude Code, and GitHub Copilot. The tool also includes blast-radius analysis to minimize the files your AI assistant needs to read. To get started, simply run

pip install code-review-graph

and

code-review-graph install

to auto-detect and configure your AI coding tools. Code Review Graph is designed for developers who want to optimize their code review process and reduce token waste. With its broad language coverage, including support for Python, JavaScript, and Ruby, as well as Jupyter notebooks, it's an essential tool for any developer looking to streamline their workflow. The takeaway: code-review-graph is a game-changer for AI-assisted code reviews, cutting token waste by up to 528x and making your coding life easier! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe