🔥 ChromeDevTools/chrome-devtools-mcp is trending — and it deserves your attention.
🔗 https://github.com/ChromeDevTools/chrome-devtools-mcp
📝 Chrome DevTools for coding agents
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The Chrome DevTools for agents repo, chrome-devtools-mcp, enables coding agents to control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, providing access to Chrome DevTools for reliable automation, debugging, and performance analysis.
Key features include:
-
-
-
To get started, add the MCP server config to your agent, then install using the CLI or as a plugin, depending on your agent. The repo supports various agents, including Antigravity, Claude, and Copilot.
The
Audience: developers using coding agents, such as Antigravity, Claude, or Copilot, who want to leverage Chrome DevTools for automation, debugging, and performance analysis.
One-liner takeaway: Supercharge your coding agent with chrome-devtools-mcp for unparalleled Chrome browser control and insights!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/ChromeDevTools/chrome-devtools-mcp
📝 Chrome DevTools for coding agents
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The Chrome DevTools for agents repo, chrome-devtools-mcp, enables coding agents to control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, providing access to Chrome DevTools for reliable automation, debugging, and performance analysis.
Key features include:
-
performance insights: record traces and extract actionable performance insights-
advanced browser debugging: analyze network requests, take screenshots, and check browser console messages-
reliable automation: automate actions in Chrome using puppeteerTo get started, add the MCP server config to your agent, then install using the CLI or as a plugin, depending on your agent. The repo supports various agents, including Antigravity, Claude, and Copilot.
The
chrome-devtools-mcp server requires Node.js, Chrome, and npm. It officially supports Google Chrome and Chrome for Testing, with other Chromium-based browsers possibly working but not guaranteed.Audience: developers using coding agents, such as Antigravity, Claude, or Copilot, who want to leverage Chrome DevTools for automation, debugging, and performance analysis.
One-liner takeaway: Supercharge your coding agent with chrome-devtools-mcp for unparalleled Chrome browser control and insights!
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📌 Spotted on GitHub Trending: Zackriya-Solutions/meetily — let's break it down.
🔗 https://github.com/Zackriya-Solutions/meetily
📝 Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai -https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows.
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Meetily is a privacy-first AI meeting assistant that runs entirely on your local machine, capturing and transcribing meetings in real-time without sending any data to the cloud. Its key features include local transcription, real-time transcription, and AI-powered summaries. Meetily supports multiple platforms, including macOS, Windows, and Linux, and is
To get started, you can
The system architecture is built with
In short, Meetily gives you complete data sovereignty and advanced meeting intelligence without compromising on privacy, compliance, or control - and that's a meeting assistant that truly meets your needs.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/Zackriya-Solutions/meetily
📝 Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai -https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows.
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Meetily is a privacy-first AI meeting assistant that runs entirely on your local machine, capturing and transcribing meetings in real-time without sending any data to the cloud. Its key features include local transcription, real-time transcription, and AI-powered summaries. Meetily supports multiple platforms, including macOS, Windows, and Linux, and is
open-source and free to use. To get started, you can
download and install Meetily from the releases page, or build from source using the provided guides. Meetily also offers a PRO version with enhanced accuracy and advanced features for serious users and teams.The system architecture is built with
Tauri and uses a Rust-based backend and a Next.js frontend. Meetily is perfect for professionals and enterprises that need to maintain complete control over their sensitive information. In short, Meetily gives you complete data sovereignty and advanced meeting intelligence without compromising on privacy, compliance, or control - and that's a meeting assistant that truly meets your needs.
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🧠 Channel: https://xn--r1a.website/GithubRe
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🔍 Deep-diving into asgeirtj/system_prompts_leaks — fresh off the trending list.
🔗 https://github.com/asgeirtj/system_prompts_leaks
📝 Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
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The asgeirtj/system_prompts_leaks GitHub repo is a treasure trove of system prompts for various AI chatbots, including Claude, ChatGPT, and Gemini. Its purpose is to document these prompts, making them accessible to everyone. The repo features a wide range of key features, including system prompts for different models and variants, such as Claude Fable 5, GPT-5.5, and Gemini 3.5 Flash.
To use the repo, simply navigate to the desired model or variant and click on the provided link to view its system prompt. The repo is constantly updated with new prompts, so be sure to check back regularly for the latest additions. From a technical standpoint, the repo is well-organized, with prompts categorized by model and variant, making it easy to find what you're looking for.
This repo is aimed at developers, researchers, and AI enthusiasts who want to understand how AI chatbots work and how they can be used in various applications. Whether you're looking to build your own AI chatbot or simply want to learn more about the technology, this repo is an invaluable resource.
In a nutshell, the
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/asgeirtj/system_prompts_leaks
📝 Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
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The asgeirtj/system_prompts_leaks GitHub repo is a treasure trove of system prompts for various AI chatbots, including Claude, ChatGPT, and Gemini. Its purpose is to document these prompts, making them accessible to everyone. The repo features a wide range of key features, including system prompts for different models and variants, such as Claude Fable 5, GPT-5.5, and Gemini 3.5 Flash.
To use the repo, simply navigate to the desired model or variant and click on the provided link to view its system prompt. The repo is constantly updated with new prompts, so be sure to check back regularly for the latest additions. From a technical standpoint, the repo is well-organized, with prompts categorized by model and variant, making it easy to find what you're looking for.
This repo is aimed at developers, researchers, and AI enthusiasts who want to understand how AI chatbots work and how they can be used in various applications. Whether you're looking to build your own AI chatbot or simply want to learn more about the technology, this repo is an invaluable resource.
In a nutshell, the
asgeirtj/system_prompts_leaks repo is a must-visit destination for anyone interested in AI chatbots and their system prompts. So, dive in and start exploring – you never know what you might discover! Unleash the power of AI chatbots with system prompts at your fingertips!──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe
🔍 Deep-diving into harvard-edge/cs249r_book — fresh off the trending list.
🔗 https://github.com/harvard-edge/cs249r_book
📝 Machine Learning Systems
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The harvard-edge/cs249r_book GitHub repository is a comprehensive resource for learning machine learning systems engineering. Its purpose is to bridge the gap between building AI systems and engineering them to be efficient, reliable, safe, and robust. The key features include a two-volume textbook,
To use this resource, students can start by reading the textbook and trying out labs, then move on to building
The intended audience is students, self-learners, and instructors looking to master ML systems. By following the learning loop of Read → Explore → Build → Model → Deploy → Practice → Teach, learners will gain a deep understanding of machine learning and systems engineering.
Ultimately, this repository teaches you to think at the intersection of machine learning and systems engineering, making you a proficient AI engineer - learn to build intelligent systems that work in the real world, not just in isolation.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/harvard-edge/cs249r_book
📝 Machine Learning Systems
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The harvard-edge/cs249r_book GitHub repository is a comprehensive resource for learning machine learning systems engineering. Its purpose is to bridge the gap between building AI systems and engineering them to be efficient, reliable, safe, and robust. The key features include a two-volume textbook,
TinyTorch for building ML frameworks from scratch, hardware kits for deploying ML to devices, and MLSys·im for simulating infrastructure. To use this resource, students can start by reading the textbook and trying out labs, then move on to building
TinyTorch and using MLSys·im. Instructors can use the provided course map, slides, and assessment guides. The technical highlights include a curriculum map that connects all components and a growing community of contributors. The intended audience is students, self-learners, and instructors looking to master ML systems. By following the learning loop of Read → Explore → Build → Model → Deploy → Practice → Teach, learners will gain a deep understanding of machine learning and systems engineering.
Ultimately, this repository teaches you to think at the intersection of machine learning and systems engineering, making you a proficient AI engineer - learn to build intelligent systems that work in the real world, not just in isolation.
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🧠 Channel: https://xn--r1a.website/GithubRe
💡 rommapp/romm just hit the trending charts — here's why it matters.
🔗 https://github.com/rommapp/romm
📝 A beautiful, powerful, self-hosted rom manager and player.
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Romm is a self-hosted ROM manager and player that lets you scan, enrich, browse, and play your game collection with a clean interface. It supports multiple platforms, naming schemes, and custom tags. Key features include metadata fetching from IGDB, Screenscraper, and MobyGames, custom artwork from SteamGridDB, and achievements from Retroachievements. You can play games directly from the browser using EmulatorJS and RuffleRS, and share your library with friends.
The
Audience for Romm includes gamers, collectors, and emulator enthusiasts who want to manage and play their game collections easily. With its extensive features and community support, Romm is a must-have for anyone who plays on emulators.
Takeaway: Romm is the ultimate self-hosted ROM manager and player that simplifies your gaming experience!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/rommapp/romm
📝 A beautiful, powerful, self-hosted rom manager and player.
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Romm is a self-hosted ROM manager and player that lets you scan, enrich, browse, and play your game collection with a clean interface. It supports multiple platforms, naming schemes, and custom tags. Key features include metadata fetching from IGDB, Screenscraper, and MobyGames, custom artwork from SteamGridDB, and achievements from Retroachievements. You can play games directly from the browser using EmulatorJS and RuffleRS, and share your library with friends.
The
rommapp/romm GitHub repository provides a Quick Start Guide for easy installation and troubleshooting steps. The project is open for contributions, and there's a community-driven Discord channel for discussions and support. For technical highlights, Romm uses a web-based interface and supports various platforms, including desktop and mobile devices. Audience for Romm includes gamers, collectors, and emulator enthusiasts who want to manage and play their game collections easily. With its extensive features and community support, Romm is a must-have for anyone who plays on emulators.
Takeaway: Romm is the ultimate self-hosted ROM manager and player that simplifies your gaming experience!
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🧠 Channel: https://xn--r1a.website/GithubRe
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🔥 ogulcancelik/herdr is trending — and it deserves your attention.
🔗 https://github.com/ogulcancelik/herdr
📝 agent multiplexer that lives in your terminal.
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Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal window, giving you a clear overview of which agents are blocked, working, or done. With herdr, each agent gets its own real terminal, not an app's imitation, so even full-screen TUIs render correctly. You can click, drag, and split panes into workspaces and tabs, and watch each agent's status update in real-time.
Key Features:
- A real terminal per agent
- Agent state at a glance
- Workspaces, tabs, and panes
- Nothing dies on detach, so you can close your laptop and reattach from another terminal or your phone over SSH
- Runs anywhere, with a single ~10MB Rust binary
Technical Highlights:
- Built with Rust for performance and reliability
- Works on Linux, macOS, and Windows (beta)
- No dependencies or GUI required
- Scriptable with a local socket API and CLI
Audience:
- Developers who work with multiple coding agents
- Teams that need to collaborate on coding projects
- Anyone looking for a lightweight, flexible, and powerful terminal-based tool
To get started, simply run
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/ogulcancelik/herdr
📝 agent multiplexer that lives in your terminal.
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Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal window, giving you a clear overview of which agents are blocked, working, or done. With herdr, each agent gets its own real terminal, not an app's imitation, so even full-screen TUIs render correctly. You can click, drag, and split panes into workspaces and tabs, and watch each agent's status update in real-time.
Key Features:
- A real terminal per agent
- Agent state at a glance
- Workspaces, tabs, and panes
- Nothing dies on detach, so you can close your laptop and reattach from another terminal or your phone over SSH
- Runs anywhere, with a single ~10MB Rust binary
Technical Highlights:
- Built with Rust for performance and reliability
- Works on Linux, macOS, and Windows (beta)
- No dependencies or GUI required
- Scriptable with a local socket API and CLI
Audience:
- Developers who work with multiple coding agents
- Teams that need to collaborate on coding projects
- Anyone looking for a lightweight, flexible, and powerful terminal-based tool
To get started, simply run
curl -fsSL https://herdr.dev/install.sh | sh to install, then type herdr to launch. With herdr, you can streamline your workflow and take your productivity to the next level: one terminal to rule them all.──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe
🔥 dotnet/skills is trending — and it deserves your attention.
🔗 https://github.com/dotnet/skills
📝 Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills GitHub repository is a treasure trove of curated skills and custom agents for coding agents, specifically designed for the .NET ecosystem. At its core, this repository provides a standardized framework for developers to leverage a wide range of .NET skills, from C# language server integration to Entity Framework and performance investigations.
Key features include a range of
From a technical standpoint, the repository supports the agentskills.io open standard, ensuring compatibility with
The primary audience for this repository includes .NET developers, architects, and anyone interested in leveraging AI and ML capabilities within their .NET projects. Whether you're looking to improve code quality, optimize performance, or explore new .NET features, the dotnet/skills repository has something for everyone.
In a nutshell, the dotnet/skills repository is all about amplifying developer productivity with AI-driven .NET skills - supercharge your coding experience today!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/dotnet/skills
📝 Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills GitHub repository is a treasure trove of curated skills and custom agents for coding agents, specifically designed for the .NET ecosystem. At its core, this repository provides a standardized framework for developers to leverage a wide range of .NET skills, from C# language server integration to Entity Framework and performance investigations.
Key features include a range of
plugins such as dotnet, dotnet-advanced, and dotnet-data, each catering to specific .NET development needs. To get started, users can install these plugins via the Copilot CLI or VS Code, and even explore them through the Cursor plugin marketplace or Codex CLI.From a technical standpoint, the repository supports the agentskills.io open standard, ensuring compatibility with
OpenAI Codex and other platforms. The code is well-organized, with each plugin following a standardized structure, making it easier for developers to contribute and add new plugins.The primary audience for this repository includes .NET developers, architects, and anyone interested in leveraging AI and ML capabilities within their .NET projects. Whether you're looking to improve code quality, optimize performance, or explore new .NET features, the dotnet/skills repository has something for everyone.
In a nutshell, the dotnet/skills repository is all about amplifying developer productivity with AI-driven .NET skills - supercharge your coding experience today!
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