🎯 manaflow-ai/cmux landed on trending. Worth a proper look.

🔗 https://github.com/manaflow-ai/cmux
📝 Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents
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cmux is a Ghostty-based macOS terminal that streamlines your coding workflow with features like vertical tabs, notifications, and an in-app browser. Key features include notification rings, a notification panel, in-app browser, vertical and horizontal tabs, SSH support, and Claude Code Teams integration.

To get started with cmux, you can download the DMG file from the GitHub releases page or install it using Homebrew with brew tap manaflow-ai/cmux and brew install --cask cmux.

Technical highlights of cmux include its native macOS app built with Swift and AppKit, GPU-accelerated rendering, and scriptable CLI and socket API. cmux is designed for developers who want a customizable and efficient coding workflow, and its target audience includes anyone looking for a powerful terminal replacement.

cmux is a primitive, not a solution - it provides a set of building blocks for you to create your own workflow. With its cmux.json configuration file, you can define custom commands and automate your workflow.

In short, cmux is a game-changer for coding workflows - it's not just a terminal, it's a launchpad for your coding productivity.

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🧠 Channel: https://t.me/GithubRe

💡 666ghj/MiroFish just hit the trending charts — here's why it matters.

🔗 https://github.com/666ghj/MiroFish
📝 A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
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The MiroFish GitHub repository presents a next-generation AI prediction engine that utilizes multi-agent technology to create a high-fidelity parallel digital world. This world is populated by thousands of intelligent agents that interact and evolve, allowing for precise deductions of future trajectories. The engine can be used for various applications, including financial prediction and political news prediction.

Key features of MiroFish include its ability to extract seed information from the real world, construct a digital world, and simulate social evolution. Users can inject variables dynamically and receive a detailed prediction report. The engine is powered by OASIS (Open Agent Social Interaction Simulations) and has received strategic support from Shanda Group.

To use MiroFish, users can deploy it from source code or via Docker. The repository provides a quick start guide that outlines the prerequisites, environment setup, and installation of dependencies. Users can also join the conversation and contribute to the project.

The target audience for MiroFish includes decision-makers, researchers, and individuals interested in multi-agent simulation and LLM applications. With its capabilities, MiroFish can be used as a rehearsal laboratory for testing policies and public relations, as well as a creative sandbox for exploring imaginative scenarios.

In summary, MiroFish is a powerful tool for predicting anything, and its applications are vast - rehearse the future in a digital sandbox, and win decisions after countless simulations.

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🧠 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.
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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.

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🧠 Channel: https://t.me/GithubRe

🔍 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#
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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!

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🧠 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
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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.

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🧠 Channel: https://t.me/GithubRe