Github Top Repositories

🌟 yikart/AiToEarn caught my eye on GitHub Trending today. 🔗 https://github.com/yikart/AiToEarn 📝 Let's use AI to Earn! ────────────────────────────── AiToEarn is an innovative platform that empowers creators, brands, and enterprises to monetize, publish, engage, and create content across multiple social media platforms. With its AI Agent automation, users can streamline content creation, publication, and interaction. The platform supports various channels, including Douyin, Xiaohongshu, Kuaishou, Bilibili, TikTok, YouTube, Facebook, Instagram, Twitter, and Pinterest. Key features include: * Monetize: Earn money through content creation and sales * Publish: Distribute content across multiple platforms with one click * Engage: Automate interactions with AI-powered browser plugins * Create: Utilize AI agents for content creation, from idea to production Usage is flexible, with options to: 1. Use the web version directly 2. Integrate with OpenClaw for seamless task execution 3. Use with Claude or other AI assistants via MCP protocol 4. Deploy with Docker for self-hosted solutions 5. Contribute to the source code for development and customization Technical highlights include support for Node.js 20.18.x and a MIT license. The platform is designed for creators, brands, and enterprises seeking to simplify content creation, publication, and monetization. In short, AiToEarn is a game-changer for content creators and businesses, offering a one-stop solution for content creation, publication, engagement, and monetization. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 browser-use/video-use is trending — and it deserves your attention. 🔗 https://github.com/browser-use/video-use 📝 Edit videos with coding agents ────────────────────────────── Video-use is an open-source tool that lets you edit videos with Claude Code. Simply drop your raw footage into a folder, chat with Claude Code, and get a final edited video back. Main features include cutting out filler words, auto color grading, 30ms audio fades, burning subtitles, and generating animation overlays. To get started, you can try video-use in the Browser Use Cloud or set it up on your own machine by cloning the repo, installing dependencies, and registering with an agent. From a technical standpoint, video-use uses a two-layer approach, where the LLM reads the video transcript and visual composite to make editing decisions. This tool is suitable for a wide range of users, from content creators to developers, who want to automate their video editing workflow. In a nutshell, video-use simplifies video editing by leveraging AI, making it a game-changer for anyone looking to streamline their video production process: edit smarter, not harder. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: TencentCloud/CubeSandbox — let's break it down. 🔗 https://github.com/TencentCloud/CubeSandbox 📝 Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents. ────────────────────────────── CubeSandbox is an instant, concurrent, secure, and lightweight sandbox service for AI agents. It offers sub-60ms boot time, hardware-level isolation, and E2B compatibility. Key features include high-density deployment, credential vault, and egress control. The service is suitable for AI and machine learning developers, DevOps teams, and security professionals. With its high-performance and low-memory overhead, CubeSandbox is ideal for large-scale AI applications. To get started, follow the quick start guide and choose your deployment path. With CubeSandbox, you can run thousands of AI agents on a single node - security has never been so scalable. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: CoreBunch/Instatic — let's break it down. 🔗 https://github.com/CoreBunch/Instatic 📝 Instatic is a modern self-hosted visual CMS - get it running in 1 minute ────────────────────────────── Instatic is a self-hosted CMS that lets you build, manage, and deploy a website from a single Bun server. With Instatic, you get a visual editor, content engine, and publisher all in one, producing clean, semantic HTML and compact CSS. The platform is MIT-licensed and self-hosted, giving you full control over your site. Key features include a design system with Core Framework, a build system with reusable visual components, and a management system with a data workspace and media workspace. Instatic also has an analyze system with a customizable dashboard and audit log, as well as an extend system with sandboxed plugins. To get started, you can deploy Instatic in one click using Railway or other providers. The platform is ideal for developers, designers, and content creators who want a self-hosted, customizable, and secure CMS. Instatic is perfect for those who want to own their site and love building it - with Instatic, you can have a site that's yours, not rented. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 altic-dev/FluidVoice is trending — and it deserves your attention. 🔗 https://github.com/altic-dev/FluidVoice 📝 Fastest and only macOS Dictation app with on-device STT and custom trained AI enhancement model - Local Wispr Flow alternative. One ⭐ takes us a long way :)) Windows, iOS and Linux coming soon. ────────────────────────────── FluidVoice is an open-source, free voice-to-text dictation app for macOS, offering on-device AI enhancement for a private and seamless experience. Key features include Fluid Intelligence for local AI-powered dictation enhancement, Command Mode for controlling your Mac by voice, and Write Mode for writing or rewriting text in any app. To get started, simply brew install --cask fluidvoice or download the latest release, then grant necessary permissions and set your hotkey. You can choose from various speech models, including Nemotron Speech, Parakeet, and Whisper, each with its own strengths and language support. Technical highlights include support for Apple Silicon and Intel Macs, a local-first approach ensuring your data never leaves your machine unless you opt-in to cloud services, and a configurable overlay for live transcription preview. Audience: Anyone looking for a powerful, private, and customizable dictation solution on macOS, from writers and developers to individuals with accessibility needs. In short, FluidVoice empowers your voice: dictate, command, and create with ease, all while keeping your data private. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 0xNyk/council-of-high-intelligence just hit the trending charts — here's why it matters. 🔗 https://github.com/0xNyk/council-of-high-intelligence 📝 18 AI personas deliberate your hardest decisions across multiple LLM providers. Aristotle, Feynman, Kahneman, Torvalds & more — structured multi-round deliberation with genuine model diversity. One command: /council ────────────────────────────── The Council of High Intelligence is a unique project that leverages 18 AI personas to provide diverse perspectives on complex decisions. By utilizing multiple LLM providers, including Claude, OpenAI, and Gemini, the council ensures genuine model diversity and reduces the risk of groupthink. Key features include three deliberation modes (full, quick, and duo), pre-defined triads for specific domains, and auto-routing across different providers. To get started, simply clone the repository and run the installation script. Then, use commands like /council Should we open-source our agent framework? to initiate deliberation. The council's technical highlights include its ability to detect installed LLM providers and distribute members across them for diverse reasoning. This project is ideal for individuals and teams seeking to make informed decisions by considering multiple viewpoints. In essence, the Council of High Intelligence is a powerful tool that helps you make better decisions by providing a board of advisors rather than a single, potentially biased, perspective. Convene your council today and experience the power of diverse thinking! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 ogulcancelik/herdr landed on trending. Worth a proper look. 🔗 https://github.com/ogulcancelik/herdr 📝 agent multiplexer that lives in your terminal. ────────────────────────────── Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal, providing a unified view of their state. With herdr, you can see which agents are blocked, working, or done at a glance, and organize them into workspaces, tabs, and panes. The tool is designed to be lightweight, with a single ~10MB Rust binary, and can run on Linux, macOS, and Windows. One of the key features of herdr is its ability to provide a real terminal view for each agent, allowing full-screen TUIs to render correctly. The tool also supports mouse-native interactions, making it easy to click, drag, and split panes into workspaces and tabs. To get started with herdr, you can install it using a simple curl command, and then run it using the herdr command. The tool comes with a range of customization options, including support for plugins and a local socket API that allows agents to drive the tool programmatically. Herdr is designed for developers who work with multiple coding agents and want a unified view of their state. The tool is highly customizable, with support for custom integrations and a range of configuration options. Overall, herdr is a powerful tool for anyone who works with multiple coding agents and wants a simple, intuitive way to manage them. With its lightweight design, real terminal views, and mouse-native interactions, herdr is an essential tool for any developer looking to streamline their workflow. The punchy one-liner takeaway? Herdr is the ultimate terminal multiplexer for coding agents, providing a unified view of their state and a simple, intuitive way to manage them. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ refactoringhq/tolaria is making waves. Here's the full picture. 🔗 https://github.com/refactoringhq/tolaria 📝 Desktop app to manage markdown knowledge bases ────────────────────────────── Tolaria is a desktop app for managing markdown knowledge bases. It's designed for use cases like personal knowledge, company docs, and AI assistant memory. The app is files-first, git-first, and offline-first, ensuring your data belongs to you, not the app. Key features include: - markdown files with YAML frontmatter - git repository for version history - keyboard-first design for power users - Support for AI agents like Claude Code and Codex CLI To get started, you can install Tolaria via Homebrew or download the latest release. The app is open source and built with Tauri, React, and TypeScript. One-liner takeaway: Tolaria is a flexible, open-source knowledge base app that helps you manage your notes and data, while keeping you in control. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet microsoft/AI-For-Beginners: a gem from today's GitHub trending list. 🔗 https://github.com/microsoft/AI-For-Beginners 📝 12 Weeks, 24 Lessons, AI for All! ────────────────────────────── The AI For Beginners curriculum on GitHub is a 12-week, 24-lesson course designed to introduce beginners to the world of Artificial Intelligence (AI). This beginner-friendly curriculum covers tools like TensorFlow and PyTorch, as well as ethics in AI. With multi-language support for over 50 languages, it's accessible to a broad audience. The course includes practical lessons, quizzes, and labs, and is suitable for anyone looking to get started with AI. Whether you're a student or a professional, this curriculum provides a comprehensive introduction to AI concepts, including Neural Networks and Deep Learning. To get started, you can clone the repository locally or use the Binder badge to launch the course in a Jupyter notebook. So, dive in and start learning AI today - the future is waiting, and it's written in code! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ Unclecheng-li/VulnClaw is making waves. Here's the full picture. 🔗 https://github.com/Unclecheng-li/VulnClaw 📝 基于 AI Agent + MCP 工具链 + 渗透 Skill 编排， 配合大语言模型， 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。 ────────────────────────────── VulnClaw is an AI-driven penetration testing CLI tool that uses natural language to describe the intent of the test, automatically identifying phases and tools. The tool's primary features include: * 目标驱动求解引擎 (Target-driven solver engine): This engine drives the testing process, using a "黑板图 + OODA 求解循环" (Blackboard + OODA loop) to search for the target, ensuring that the testing process is goal-oriented and doesn't get stuck in an infinite loop. * 证据级反幻觉闸门 (Evidence-based anti-illusion gate): This feature ensures that any claims of flag discovery must be supported by actual output from the tools used, preventing false victories. * 自然语言驱动 (Natural language-driven): Users can describe their testing intent using natural language, making it easier to use the tool. * 13 个 LLM Provider (13 LLM providers): The tool supports multiple language models, including OpenAI, MiniMax, and DeepSeek, among others. * MCP 工具链 (MCP toolchain): The tool uses the Model Context Protocol (MCP) to integrate with various tools and services. To use VulnClaw, users can follow these steps: 1. Install the tool using pip or by cloning the repository and installing from source. 2. Configure the tool by setting the LLM provider, API key, and other options. 3. Use the tool in one of three ways: * vulnclaw: The default CLI/REPL interaction mode. * vulnclaw tui: The TUI (Terminal User Interface) mode, which provides a graphical interface for configuring and running tests. * vulnclaw repl: The classic REPL mode, which provides a command-line interface for interacting with the tool. The tool is suitable for authorized penetration testing, CTF competitions, security teaching, and red team exercises. In summary, VulnClaw is a powerful AI-driven penetration testing tool that uses natural language to describe the intent of the test and provides a range of features to support the testing process. With its flexible configuration options and multiple interaction modes, VulnClaw is an excellent choice for security professionals and researchers looking to streamline their testing workflows. Punchy one-liner takeaway: VulnClaw revolutionizes penetration testing by harnessing the power of AI and natural language to streamline the testing process, making it an indispensable tool for security professionals. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 Mebus/cupp is trending — and it deserves your attention. 🔗 https://github.com/Mebus/cupp 📝 Common User Passwords Profiler (CUPP) ────────────────────────────── The CUPP tool, or Common User Passwords Profiler, is a password profiling tool designed to help users create stronger passwords and to assist in legal penetration tests and forensic crime investigations. It works by asking interactive questions to create a profile of the user's password, which can then be used to generate a list of possible passwords. The key features of CUPP include: - Interactive questions for user password profiling - Using existing dictionaries to generate possible passwords - Downloading huge wordlists from the repository - Parsing default usernames and passwords from the Alecto DB To use CUPP, you need to have Python 3 installed. You can start by running python3 cupp.py -h to see the available options. From a technical standpoint, CUPP is a Python-based tool that uses a configuration file called cupp.cfg to store its settings. The target audience for CUPP includes security professionals and law enforcement agencies who need to perform password profiling and penetration testing. In short, CUPP is a powerful tool for creating stronger passwords and assisting in cybersecurity investigations - and with it, you can crack the code to making your passwords unbreakable! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe