Github Top Repositories

🚀 Meet langflow-ai/langflow: a gem from today's GitHub trending list. 🔗 https://github.com/langflow-ai/langflow 📝 Langflow is a powerful tool for building and deploying AI-powered agents and workflows. ────────────────────────────── Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It offers a visual authoring experience and built-in API and MCP servers, allowing developers to integrate workflows into applications built on any framework or stack. Key features include a visual builder interface, source code access, and interactive playground. Technical Highlights:

uv pip install langflow -U
uv run langflow run

These commands install and start Langflow locally. Audience: Developers of all levels can use Langflow to build and deploy AI-powered agents and workflows. With its enterprise-ready security and scalability, Langflow is suitable for large-scale applications. Usage: Langflow can be installed locally, run from source, or deployed using Docker. It's also available as a desktop application for Windows and macOS. Get started with Langflow and unlock the full potential of AI-powered agents and workflows - build, deploy, and innovate with ease! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 openai/codex-plugin-cc caught my eye on GitHub Trending today. 🔗 https://github.com/openai/codex-plugin-cc 📝 Use Codex from Claude Code to review code or delegate tasks. ────────────────────────────── The openai/codex-plugin-cc repository provides a plugin for Claude Code, allowing users to leverage the power of Codex from within their existing workflow. This plugin enables features such as code reviews, task delegation, and background job management. Key features of the plugin include: - /codex:review for read-only code reviews - /codex:adversarial-review for steerable challenge reviews - /codex:rescue to hand tasks over to Codex - /codex:status and /codex:result to manage and view results of Codex jobs To use the plugin, users need to: - Have a ChatGPT subscription or OpenAI API key - Install Node.js 18.18 or later - Add the marketplace and install the plugin in Claude Code The plugin is designed for Claude Code users who want to integrate Codex into their workflow seamlessly. It's a powerful tool for code review, debugging, and implementation. By integrating Codex with Claude Code, this plugin streamlines the development process, making it easier to review, delegate, and manage code-related tasks. One key takeaway: with the openai/codex-plugin-cc, you can now supercharge your Claude Code workflow with the intelligent coding capabilities of Codex - revolutionizing your coding experience. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet agentskills/agentskills: a gem from today's GitHub trending list. 🔗 https://github.com/agentskills/agentskills 📝 Specification and documentation for Agent Skills ────────────────────────────── The agentskills/agentskills GitHub repository introduces a standardized approach to enhance AI agents with specialized capabilities and expertise. At its core, an Agent Skill is a folder containing a SKILL.md file that includes metadata and instructions for performing specific tasks. These skills can also bundle scripts, reference materials, and other resources. The repository provides a way for agents to load skills on demand, giving them domain expertise, repeatable workflows, and cross-product reuse. The skills are loaded through a process called progressive disclosure, which happens in three stages: Discovery, Activation, and Execution. This repository is suitable for developers and researchers working with AI agents, providing them with a flexible and open standard for extending agent capabilities. The Agent Skills format is open to contributions, and the code is licensed under Apache 2.0. To get started, you can explore the Documentation, Specification, and Example Skills provided. You can also join the Discord community to share your projects and get involved in the development process. The key takeaway: Equip your AI agents with new skills and watch them thrive! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ HKUDS/Vibe-Trading is making waves. Here's the full picture. 🔗 https://github.com/HKUDS/Vibe-Trading 📝 "Vibe-Trading: Your Personal Trading Agent" ────────────────────────────── Vibe-Trading is a personal trading agent that empowers users with comprehensive trading capabilities. Key features include a modular architecture, support for multiple brokerages, and a user-friendly interface. The project utilizes Python 3.11+, FastAPI, and React 19 for the backend and frontend, respectively. To get started, users can install the vibe-trading-ai package using pip install vibe-trading-ai. The project is licensed under the MIT License and has a strong focus on community involvement, with multiple communication channels available, including Feishu, WeChat, and Discord. The project's technical highlights include a robust API server, support for multiple data sources, and a built-in alpha library. The

vibe-trading setup

and

vibe-trading dev

commands simplify the setup and development process. Vibe-Trading is suitable for traders, developers, and researchers looking for a powerful and customizable trading platform. With its modular design and active community, Vibe-Trading is an excellent choice for those seeking a comprehensive trading solution. One command to rule them all: Vibe-Trading streamlines your trading workflow. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 affaan-m/ECC just hit the trending charts — here's why it matters. 🔗 https://github.com/affaan-m/ECC 📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. ────────────────────────────── The affaan-m/ECC GitHub repository is an open-source project that provides a comprehensive system for building and managing agentic workflows across multiple harnesses. The project includes a wide range of features such as token optimization, memory persistence, continuous learning, and security scanning. To get started, users can refer to The Shorthand Guide and The Longform Guide, which provide detailed information on setup, foundations, philosophy, and advanced topics. The project supports multiple language ecosystems, including Python, Java, Go, and JavaScript, making it a versatile tool for developers. The repository has gained significant traction, with over 211.9K stars and 32.5K forks. It is maintained by a single maintainer, who ships weekly updates across 7 harnesses. The project is licensed under the MIT license, ensuring that it remains free and open-source forever. The latest release, v2.0.0, introduces significant improvements, including a new dashboard GUI, operator workflows, and outbound workflow expansion. The project has a strong focus on security, with features like AgentShield and sanitization to prevent attacks and ensure the integrity of user data. In summary, the affaan-m/ECC repository is a powerful tool for building and managing agentic workflows, with a wide range of features, a strong focus on security, and a large community of contributors. Get started with ECC and take your workflow management to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 actions/checkout just hit the trending charts — here's why it matters. 🔗 https://github.com/actions/checkout 📝 Action for checking out a repo ────────────────────────────── The actions/checkout GitHub repository provides an action that checks out your repository under $GITHUB_WORKSPACE, allowing your workflow to access it. The latest version, v7, introduces safer fork pull request handling, improved credential security, and supports new versions of the @actions/* packages. Key features include fetching a single commit by default, with options to fetch all history for all branches and tags, and supporting authenticated Git commands. The action also allows for sparse checkout, recursive submodule checkout, and download of Git-LFS files. To use this action, simply reference it in your workflow file, like this:

- uses: actions/checkout@v7
  with:
    repository: 'your-repo'
    token: ${{ secrets.YOUR_PAT }} 
    fetch-depth: 0

This action is suitable for anyone using GitHub Actions to automate their workflow. The takeaway: Automate your GitHub workflow with the actions/checkout action and take your productivity to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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📌 Spotted on GitHub Trending: browser-use/video-use — let's break it down. 🔗 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 ease using Claude Code or other agents. Simply drop your raw footage into a folder, chat with the agent, and get a polished final.mp4 file in return. Key features include automatic removal of filler words and dead space, color grading, audio fades, and customizable subtitles. The tool also generates animation overlays and evaluates the rendered output at every cut boundary. To use video-use, you can try it in the Browser Use Cloud or set it up locally by following the install.md guide. Once installed, you can point your agent at a folder of raw takes and start editing. From a technical standpoint, video-use uses a two-layer approach to read videos, with the LLM reading the audio transcript and visual composite on demand. This approach reduces noise and allows for precise editing. The target audience for video-use includes anyone looking to edit videos quickly and efficiently, from talking heads to travel videos. In short, video-use is a powerful tool that simplifies video editing - just chat with an AI and get a polished video back, no video editing skills required. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 ChromeDevTools/chrome-devtools-mcp just hit the trending charts — here's why it matters. 🔗 https://github.com/ChromeDevTools/chrome-devtools-mcp 📝 Chrome DevTools for coding agents ────────────────────────────── The ChromeDevTools/chrome-devtools-mcp GitHub repository offers a powerful tool for coding agents, allowing them to control and inspect a live Chrome browser. This Model-Context-Protocol (MCP) server provides access to the full power of Chrome DevTools, enabling reliable automation, in-depth debugging, and performance analysis. Key features include performance insights, advanced browser debugging, and reliable automation using puppeteer. To get started, add the MCP server configuration to your agent, and ensure you have Node.js, Chrome, and npm installed. The repository supports various coding agents, including Amp, Antigravity, Claude Code, Cline, Codex, Command Code, Copilot, Cursor, Factory, and Gemini. With chrome-devtools-mcp, you can supercharge your coding agent with Chrome DevTools capabilities. Takeaway: Boost your coding productivity with Chrome DevTools MCP - the ultimate browser automation and debugging tool. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 obra/superpowers caught my eye on GitHub Trending today. 🔗 https://github.com/obra/superpowers 📝 An agentic skills framework & software development methodology that works. ────────────────────────────── The Superpowers GitHub repository is a comprehensive software development methodology designed for coding agents. It's built on top of a set of composable skills and initial instructions that enable your agent to utilize them effectively. The Superpowers system is designed to work with various coding agents, including Claude Code, Antigravity, and Codex App, among others. To get started with Superpowers, you can install it as a plugin for your chosen coding agent. The installation process varies depending on the agent, but detailed instructions are provided in the README file. For example, you can install Superpowers for Claude Code using the following command:

/plugin install superpowers@claude-plugins-official

The Superpowers system follows a test-driven development philosophy, emphasizing the importance of writing tests before code. It also promotes systematic and complexity-reducing approaches to development. The system includes a range of skills, such as test-driven-development, systematic-debugging, and collaboration, which work together to facilitate efficient and effective development. The Superpowers community is active and supportive, with a Discord channel available for discussion and sharing. The repository is maintained by Jesse Vincent and the team at Prime Radiant, and contributions are welcome. Overall, Superpowers is a powerful tool for coding agents, enabling them to work more efficiently and effectively. With its comprehensive set of skills and easy installation process, it's an excellent choice for developers looking to streamline their workflow. So, why not give your coding agent Superpowers and unlock a whole new level of productivity? ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 santifer/career-ops is trending — and it deserves your attention. 🔗 https://github.com/santifer/career-ops 📝 AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing. ────────────────────────────── The Career-Ops GitHub repository is an open-source, AI-powered job search command center. It transforms any AI coding CLI into a personalized career agent, evaluating job offers, generating tailored CVs, and scanning job portals. The system uses a structured A-F scoring system and can process multiple job offers in parallel. Key features include auto-pipeline, 6-block evaluation, interview story bank, negotiation scripts, and ATS PDF generation. To get started, simply run npx @santifer/career-ops init and follow the setup instructions. Career-Ops is designed for job seekers who want to streamline their job search process and make informed decisions about their career. It's particularly useful for those who are overwhelmed by the numerous job opportunities available and need help filtering out the best fits. With its ability to integrate with various AI coding CLIs, including Claude Code, OpenCode, and Antigravity CLI, Career-Ops offers a flexible and customizable solution for job seekers. Here's an example of how to use Career-Ops:

npx @santifer/career-ops init
cd career-ops
claude   # or gemini / codex / qwen / opencode / agy / grok — open your AI CLI here

In summary, Career-Ops is a powerful tool that can help job seekers land their dream role by providing a personalized and efficient job search experience. Automate your job search and get hired faster with Career-Ops — your new career sidekick! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 hasaneyldrm/exercises-dataset landed on trending. Worth a proper look. 🔗 https://github.com/hasaneyldrm/exercises-dataset 📝 A comprehensive dataset of 433 fitness exercises. Each entry includes name, category, target muscle group, equipment, instructions, thumbnail image, and animation video. ────────────────────────────── The exercises-dataset by hasaneyldrm is a comprehensive developer setup wizard and structured exercise dataset, featuring 1,324 exercises with detailed metadata and multilingual instructions in 6 languages. The dataset includes information on category, body part, equipment, target muscle, and step-by-step instructions for each exercise. Key features of the dataset include: - Interactive browser: A client-side exercise explorer with live search, filtering, and infinite scroll grid. - Developer setup guide: A step-by-step guide for integrating the dataset into your own application, including database setup, API integration, and LLM-assisted backend generation. From a technical standpoint, the dataset is in JSON format and can be easily imported into various databases. The repository also includes an index.html file for interactive browsing and a setup.html file for developer setup. This dataset is ideal for: - Building fitness or workout planning applications - Machine learning projects involving exercise recognition or recommendation - Health and wellness research - Educational demonstrations and prototypes The dataset is suitable for developers, researchers, and fitness enthusiasts looking to create innovative applications or analyze exercise data. One-liner takeaway: With the exercises-dataset, you can jumpstart your fitness app development and create a powerful exercise platform with a vast library of workouts and detailed instructions. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: msitarzewski/agency-agents — let's break it down. 🔗 https://github.com/msitarzewski/agency-agents 📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. ────────────────────────────── The Agency is a collection of AI agents, each with its own specialized expertise, personality, and deliverables. These agents are designed to be production-ready and can be used for various tasks, from frontend development to database optimization. The repository provides multiple installation options, including a native desktop app for easy browsing and installation of agents. You can also use command-line scripts to install agents for specific tools like Claude Code or Gemini CLI. The agents are categorized into divisions, such as engineering and design, making it easy to find the right agent for your needs. With The Agency, you can assemble your dream team of AI specialists and never have to worry about them sleeping, complaining, or not delivering. Here's a quick example of how to install an agent using the command line:

./scripts/install.sh --tool claude-code --division engineering

The Agency is perfect for anyone looking to augment their workflow with specialized AI agents. One-liner takeaway: The Agency puts a complete team of AI specialists at your fingertips, making it easier to deliver high-quality results without the hassle of hiring and managing a team. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet JuliusBrussee/caveman: a gem from today's GitHub trending list. 🔗 https://github.com/JuliusBrussee/caveman 📝 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman ────────────────────────────── The caveman GitHub repository is a game-changer for agents like Claude Code, Codex, and Gemini. Its primary purpose is to make these agents talk like cavemen, cutting down on unnecessary words while maintaining technical accuracy. The key feature of caveman is its ability to compress output tokens by around 75%, resulting in faster and more readable responses. To use caveman, simply install it using a one-line command, and then trigger it by typing /caveman or saying "talk like caveman". You can choose from different levels of "grunt" - lite, full, ultra, or wenyan (classical Chinese). Some technical highlights of caveman include its ability to compress output tokens across 10 prompts, with an average reduction of 65%. The repository also includes benchmarks and a detailed explanation of how it works. The target audience for caveman appears to be developers and users of various agents, including Claude Code, Codex, and Gemini. Overall, caveman is a unique and useful tool that can revolutionize the way agents communicate. Here's a punchy one-liner takeaway: Why use many tokens when a few can do the trick? ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 usestrix/strix just hit the trending charts — here's why it matters. 🔗 https://github.com/usestrix/strix 📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities. ────────────────────────────── Introduction to Strix: Strix is an open-source AI pentesting tool that utilizes autonomous AI hackers to identify and fix vulnerabilities in applications. It provides a comprehensive pentesting toolkit, multi-agent orchestration, and real exploit validation, making it an ideal solution for developers and security teams. Key Features: - Full pentesting toolkit with reconnaissance, exploitation, and validation capabilities - Multi-agent orchestration for collaborative and scalable pentesting - Real exploit validation with working proof-of-concepts - Developer-first CLI for actionable findings and remediation guidance - Auto-fix and reporting capabilities for streamlined security testing Usage Examples: ```bash # Scan a local codebase strix --target ./app-directory # Security review of a GitHub repository strix --target https://github.com/org/repo # Black-box web application assessment strix --target https://your-app.com ``` Technical Highlights: Strix integrates seamlessly with GitHub Actions and CI/CD pipelines, allowing for automatic vulnerability scanning on every pull request. It also supports various LLM providers, including OpenAI, Anthropic, and Google. Audience: Strix is designed for developers, security teams, and individuals who need fast and accurate security testing without the overhead of manual pentesting or false positives from static analysis tools. In summary, Strix is a powerful open-source AI pentesting tool that simplifies vulnerability detection and remediation, making it an essential tool for anyone serious about application security - Automate your security testing with Strix and stay one step ahead of vulnerabilities! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe