Github Top Repositories

💡 manaflow-ai/cmux just hit the trending charts — here's why it matters. 🔗 https://github.com/manaflow-ai/cmux 📝 Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents ────────────────────────────── cmux is a macOS terminal designed for AI coding agents, built on top of Ghostty and offering features like vertical tabs, notifications, and an in-app browser. Key features include: - Notification rings and a notification panel for managing agent notifications - An with a scriptable API - Vertical and horizontal tabs for organizing workspaces - SSH support for remote machine workspaces - Claude Code Teams integration - Custom commands and scriptable functionality via the CLI and socket API To get started, you can download the DMG or install via Homebrew. Audience: Developers working with AI coding agents, particularly those using Claude Code and other similar tools. Technical highlights: Native macOS app built with Swift and AppKit, GPU-accelerated using libghostty. Give a million developers composable primitives like cmux and they'll build the most efficient workflows - faster than any product team. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: colbymchenry/codegraph — let's break it down. 🔗 https://github.com/colbymchenry/codegraph 📝 Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, OpenCode, and Hermes Agent — fewer tokens, fewer tool calls, 100% local ────────────────────────────── Introducing CodeGraph, a revolutionary tool that supercharges your development workflow with semantic code intelligence. It integrates seamlessly with popular agents like Claude Code, Cursor, Codex CLI, opencode, and Hermes Agent, providing a pre-indexed knowledge graph that enables instant code exploration and search. To get started, simply run the installer with npx @colbymchenry/codegraph or use the provided scripts for macOS, Linux, or Windows. Then, initialize your project with codegraph init -i to build the knowledge graph index. Key Features include smart context building, full-text search, impact analysis, and framework-aware routes. CodeGraph supports 19+ languages and is 100% local, with no data leaving your machine. The benefits are clear: 35% cheaper, 57% fewer tokens, 46% faster, and 71% fewer tool calls. With CodeGraph, you can supercharge your coding experience. Try it today and discover a whole new world of coding efficiency - CodeGraph: because coding just got a whole lot smarter! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet mukul975/Anthropic-Cybersecurity-Skills: a gem from today's GitHub trending list. 🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills 📝 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0 ────────────────────────────── The Anthropic Cybersecurity Skills repository provides a comprehensive library of 754 production-grade cybersecurity skills across 26 security domains. This open-source project aims to equip AI agents with the skills of a senior security analyst, enabling them to perform tasks such as threat hunting, incident response, and vulnerability management. The repository includes five framework mappings, including MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF, making it a unique and valuable resource for the cybersecurity community. To get started, users can clone the repository or use the npx skills add mukul975/Anthropic-Cybersecurity-Skills command. The skills are designed to be used with various AI platforms, including Claude Code, GitHub Copilot, and OpenAI Codex CLI. The project is not affiliated with Anthropic PBC and is an independent, community-created initiative. The repository is licensed under Apache-2.0 and is open to contributions. Overall, the Anthropic Cybersecurity Skills repository has the potential to significantly enhance the capabilities of AI agents in the cybersecurity domain, and its open-source nature makes it an exciting development for the community. Give your AI agent the security skills of a senior analyst — and watch it become a game-changer in cybersecurity. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet affaan-m/ECC: a gem from today's GitHub trending list. 🔗 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 ECC (Efficient Computing Companion) repository is a comprehensive system for agentic work, built on top of various AI agent harnesses like Claude Code, Codex, and OpenCode. With over 182K stars and 28K forks, it's a widely-recognized project that's been developed over 10 months of intensive daily use. ECC provides a range of features, including skills, instincts, memory optimization, continuous learning, and security scanning. The system is production-ready and works across multiple harnesses, making it a versatile tool for developers. The project is constantly evolving, with new features and updates being added regularly. The most recent version, v2.0.0-rc.1, includes a public surface refresh, operator workflows, and an ECC 2.0 alpha. The system has a large community of contributors and users, with over 170 contributors and 12 language ecosystems supported. Whether you're a developer, researcher, or simply interested in AI, ECC is definitely worth checking out. With its comprehensive guides and extensive documentation, you'll be able to get started quickly and easily. So why wait? Dive into the world of ECC today and discover the power of efficient computing companions. The ECC repository is a one-stop-shop for all your agentic work needs - it's the ultimate tool for anyone looking to streamline their workflow and boost productivity. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 rohitg00/ai-engineering-from-scratch just hit the trending charts — here's why it matters. 🔗 https://github.com/rohitg00/ai-engineering-from-scratch 📝 Learn it. Build it. Ship it for others. ────────────────────────────── The GitHub repository rohitg00/ai-engineering-from-scratch is a comprehensive, open-source curriculum designed to teach AI engineering from scratch. The purpose of this repository is to provide a structured approach to learning AI, covering 20 phases and 435 lessons that span ~320 hours of content. Key features of this curriculum include its focus on building AI systems from raw math, using languages like Python, TypeScript, Rust, and Julia. Each lesson follows a consistent structure, starting with the problem, deriving the math, writing the code, running the test, and keeping the resulting artifact. The curriculum is designed for individuals who want to understand how AI actually works, not just call APIs. It's suitable for those who can write code in any language, with some familiarity with Python being helpful. To get started, users can choose from three options: reading completed lessons on the website, cloning and running the repository, or finding their level using a placement quiz. Every lesson ships with a reusable tool, such as prompts, skills, agents, or MCP servers, which can be installed or pasted into daily workflows. The takeaway: Master AI engineering by building it from scratch, and become a part of a community that's shaping the future of artificial intelligence. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 anthropics/knowledge-work-plugins landed on trending. Worth a proper look. 🔗 https://github.com/anthropics/knowledge-work-plugins 📝 Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork ────────────────────────────── The anthropics/knowledge-work-plugins GitHub repository offers a collection of plugins designed to enhance Claude's capabilities, making it a specialist for various roles, teams, and companies. These plugins are compatible with Claude Cowork and Claude Code, allowing users to customize how work is done, which tools to use, and how to handle critical workflows. The repository includes 11 open-sourced plugins, each catering to a specific job function, such as productivity, sales, customer-support, and more. These plugins bundle skills, connectors, slash commands, and sub-agents, providing a strong starting point for Claude to assist users in their respective roles. To get started, users can install plugins directly from Claude Cowork or Claude Code using the following command:

claude plugin install sales@knowledge-work-plugins

Each plugin follows a standard structure, consisting of a plugin.json manifest, .mcp.json tool connections, commands directory, and skills directory. The plugins are file-based, using markdown and JSON, and require no coding, infrastructure, or build steps. The true power of these plugins lies in their customizability. Users can modify the plugins to fit their company's specific tools, terminology, and processes, making Claude an integral part of their team. By contributing to the repository, users can also share their custom plugins and help others benefit from their expertise. In summary, the anthropics/knowledge-work-plugins repository offers a powerful way to enhance Claude's capabilities, making it an indispensable tool for teams and companies - and with customization, Claude becomes a specialist that understands your world. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 Lum1104/Understand-Anything just hit the trending charts — here's why it matters. 🔗 https://github.com/Lum1104/Understand-Anything 📝 Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. ────────────────────────────── Understand Anything is an innovative tool that turns any codebase, knowledge base, or documentation into an interactive knowledge graph. This graph can be explored, searched, and questioned, making it easier to understand complex systems. The tool works with various platforms, including Claude Code, Codex, Cursor, Copilot, and Gemini CLI. Key features include: - Interactive knowledge graph: visualize your codebase as a graph, with every file, function, and class as a node that can be clicked, searched, and explored. - Guided tours: auto-generated walkthroughs of the architecture, ordered by dependency. - Fuzzy and semantic search: find anything by name or meaning. - Diff impact analysis: see which parts of the system your changes affect before you commit. Technical highlights: - Multi-agent pipeline: analyzes your project and builds a knowledge graph. - Tree-sitter + LLM hybrid: combines static analysis and LLMs for parsing and semantic analysis. Audience: developers, teams, and organizations looking to improve their understanding of complex codebases and knowledge bases. To get started, simply install the plugin and analyze your codebase. Then, explore the dashboard and start gaining insights into your system. Understand Anything is a game-changer for anyone looking to simplify complex systems and improve their productivity. Try it out and start understanding anything! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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⚡ mukul975/Anthropic-Cybersecurity-Skills is making waves. Here's the full picture. 🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills 📝 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0 ────────────────────────────── The Anthropic Cybersecurity Skills repository on GitHub is a comprehensive library of 754 production-grade cybersecurity skills that can be integrated into AI agents to enhance their security capabilities. The skills are organized into 26 security domains and are mapped to five industry frameworks, including MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF. To get started, users can clone the repository or use npx skills add mukul975/Anthropic-Cybersecurity-Skills to immediately work with the skills. The repository is designed to be compatible with various AI platforms, including Claude Code, GitHub Copilot, and OpenAI Codex CLI. The skills are structured to provide AI agents with the decision-making workflows that a senior security analyst would use, including when to use each technique, what prerequisites to check, and how to execute and verify results. Each skill is composed of a SKILL.md file, references directory, scripts directory, and assets directory. The target audience for this repository includes security professionals, developers, and enterprise teams looking to enhance the security capabilities of their AI agents. By using this repository, users can give their AI agents the security skills of a senior analyst, enabling them to perform tasks such as threat hunting, incident response, and vulnerability management. In summary, the Anthropic Cybersecurity Skills repository is a valuable resource for anyone looking to enhance the security capabilities of their AI agents, and with it, you can turn your AI into a cybersecurity powerhouse. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 blakeblackshear/frigate caught my eye on GitHub Trending today. 🔗 https://github.com/blakeblackshear/frigate 📝 NVR with realtime local object detection for IP cameras ────────────────────────────── The Frigate NVR is a complete and local NVR designed for Home Assistant with AI object detection. It uses OpenCV and Tensorflow to perform real-time object detection locally for IP cameras. Key features include tight integration with Home Assistant via a custom component, low overhead motion detection, and object detection with TensorFlow in separate processes for maximum FPS. The system is designed to minimize resource use and maximize performance, making it suitable for users who want a powerful yet efficient NVR system. To get started, users can view the documentation at https://docs.frigate.video and explore the supported object detectors. This project is licensed under the MIT License, and donations can be made via Github Sponsors to support development. Frigate NVR is perfect for those looking for a robust and feature-rich NVR system with AI object detection. Takeaway: Frigate NVR brings AI-powered surveillance to your doorstep with real-time object detection and seamless integration with Home Assistant. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into dotnet/skills — fresh off the trending list. 🔗 https://github.com/dotnet/skills 📝 Repository for skills to assist AI coding agents with .NET and C# ────────────────────────────── The dotnet/skills repository is a treasure trove of curated core skills and custom agents for coding agents, focusing on .NET development. This project provides a wide range of plugins, including dotnet, dotnet-data, dotnet-diag, and more, each catering to specific .NET-related tasks such as data access, performance investigations, and build skills. To get started, you can install plugins using the Copilot CLI or Claude Code with commands like /plugin install <plugin>@dotnet-agent-skills, or use VS Code with the chat.plugins.enabled setting. You can also use the Codex CLI to install individual skills with skill-installer install https://github.com/dotnet/skills/tree/main/plugins/<plugin>/skills/<skill-name>. This repository is perfect for .NET developers looking to streamline their workflow and leverage the power of AI-powered coding assistants. With its open-standard skills and compatible plugins, the dotnet/skills repository is an invaluable resource for anyone working with .NET technologies. Takeaway: The dotnet/skills repository is your one-stop-shop for unlocking the full potential of .NET development with AI-powered coding assistants! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ codecrafters-io/build-your-own-x is making waves. Here's the full picture. 🔗 https://github.com/codecrafters-io/build-your-own-x 📝 Master programming by recreating your favorite technologies from scratch. ────────────────────────────── Imagine being able to create your own technology from scratch. The codecrafters-io/build-your-own-x GitHub repository is a collection of guides and tutorials that allow you to do just that. With a wide range of topics, including 3D renderers, AI models, blockchains, and more, you can learn to build your own technologies and gain a deeper understanding of how they work. The repository includes tutorials and code examples in various programming languages, such as C++, Java, Python, and JavaScript, making it accessible to developers of all levels. Whether you're interested in building a database, a bot, or a command-line tool, this repository has something for everyone. The key features of this repository include its comprehensive guides, step-by-step tutorials, and community-driven approach. The technical highlights of the repository include its use of various programming languages and real-world examples. The intended audience for this repository includes developers, students, and anyone interested in building their own technologies. Build, learn, and have fun with the codecrafters-io/build-your-own-x repository - what you cannot create, you do not understand. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe