Github Top Repositories
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⚡ ruvnet/RuView is making waves. Here's the full picture.
🔗 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 turns radio signals into spatial intelligence, allowing you to detect people, measure breathing and heart rate, track movement, and monitor rooms — all through walls, in the dark, with no cameras or wearables. The system uses Channel State Information (CSI) from low-cost ESP32 sensors and turns disturbances in radio waves into actionable data. Key features include presence and occupancy detection, vital signs monitoring, activity recognition, environment mapping, and sleep quality tracking.
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🧠 Channel: https://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 turns radio signals into spatial intelligence, allowing you to detect people, measure breathing and heart rate, track movement, and monitor rooms — all through walls, in the dark, with no cameras or wearables. The system uses Channel State Information (CSI) from low-cost ESP32 sensors and turns disturbances in radio waves into actionable data. Key features include presence and occupancy detection, vital signs monitoring, activity recognition, environment mapping, and sleep quality tracking.
RuView runs entirely on edge hardware, with no cloud or internet required, and uses spiking neural networks that adapt in under 30 seconds. The system is ideal for various applications, including healthcare, retail, office, and hospitality, where it can be used for fall detection, patient monitoring, occupancy counting, and more. With RuView, you can turn ordinary WiFi into a spatial intelligence system and gain valuable insights into your environment — all with a simple, low-cost solution. RuView is the future of WiFi sensing, and it's available now: see through walls with WiFi.──────────────────────────────
🧠 Channel: https://t.me/GithubRe
💡 CloakHQ/CloakBrowser just hit the trending charts — here's why it matters.
🔗 https://github.com/CloakHQ/CloakBrowser
📝 Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
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CloakBrowser is a custom-built Chromium browser designed to bypass bot detection systems. Its key features include stealth mode, human-like behavior, and auto-updating binary. To use CloakBrowser, simply
Technical highlights include 49 source-level C++ patches for canvas, WebGL, audio, and more, as well as humanize=True for human-like mouse curves and keyboard timing. CloakBrowser is suitable for developers and users who need to automate browser interactions without being detected by bot detection systems.
In a nutshell, CloakBrowser is the ultimate solution for unblocking blocked websites with its powerful stealth capabilities - just swap your import and you're unblocked in 30 seconds.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/CloakHQ/CloakBrowser
📝 Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
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CloakBrowser is a custom-built Chromium browser designed to bypass bot detection systems. Its key features include stealth mode, human-like behavior, and auto-updating binary. To use CloakBrowser, simply
pip install cloakbrowser or npm install cloakbrowser and launch it with the standard Playwright/Puppeteer API. Technical highlights include 49 source-level C++ patches for canvas, WebGL, audio, and more, as well as humanize=True for human-like mouse curves and keyboard timing. CloakBrowser is suitable for developers and users who need to automate browser interactions without being detected by bot detection systems.
In a nutshell, CloakBrowser is the ultimate solution for unblocking blocked websites with its powerful stealth capabilities - just swap your import and you're unblocked in 30 seconds.
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🧠 Channel: https://t.me/GithubRe
🚀 Meet tech-leads-club/agent-skills: a gem from today's GitHub trending list.
🔗 https://github.com/tech-leads-club/agent-skills
📝 The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
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The Agent Skills repository is a secure, validated skill registry for professional AI coding agents. It provides a hardened library of verified, tested, and safe capabilities, allowing developers to extend their AI agents with confidence.
The key features of Agent Skills include:
- A growing catalog of skills that can be easily installed and managed using the
- Support for multiple AI coding agents, including Claude Code, Cursor, and GitHub Copilot.
- A strong focus on security and trust, with features like static analysis, immutable integrity, and human-curated prompts.
To get started with Agent Skills, simply run
The repository is 100% open source and has a Defense-in-Depth security approach, utilizing sanitization, path isolation, and symlink guards to protect against potential threats.
Overall, Agent Skills is a powerful tool for developers looking to extend their AI coding agents with secure and validated capabilities. With its easy-to-use CLI and strong focus on security, it's an excellent choice for anyone looking to supercharge their development workflow.
Takeaway: Agent Skills is the ultimate game-changer for AI coding agents, providing a secure and validated way to supercharge your development workflow.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/tech-leads-club/agent-skills
📝 The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
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The Agent Skills repository is a secure, validated skill registry for professional AI coding agents. It provides a hardened library of verified, tested, and safe capabilities, allowing developers to extend their AI agents with confidence.
The key features of Agent Skills include:
- A growing catalog of skills that can be easily installed and managed using the
agent-skills CLI.- Support for multiple AI coding agents, including Claude Code, Cursor, and GitHub Copilot.
- A strong focus on security and trust, with features like static analysis, immutable integrity, and human-curated prompts.
To get started with Agent Skills, simply run
npx @tech-leads-club/agent-skills and follow the interactive wizard. You can also install the agent-skills CLI globally using npm install -g @tech-leads-club/agent-skills.The repository is 100% open source and has a Defense-in-Depth security approach, utilizing sanitization, path isolation, and symlink guards to protect against potential threats.
Overall, Agent Skills is a powerful tool for developers looking to extend their AI coding agents with secure and validated capabilities. With its easy-to-use CLI and strong focus on security, it's an excellent choice for anyone looking to supercharge their development workflow.
Takeaway: Agent Skills is the ultimate game-changer for AI coding agents, providing a secure and validated way to supercharge your development workflow.
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🧠 Channel: https://t.me/GithubRe
🚀 Meet BigBodyCobain/Shadowbroker: a gem from today's GitHub trending list.
🔗 https://github.com/BigBodyCobain/Shadowbroker
📝 Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.
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Imagine a single platform where you can track aircraft, ships, satellites, and even CCTV cameras in real-time, all on a dark-ops map interface. This is what ShadowBroker offers - a decentralized intelligence platform that aggregates data from 60+ live intelligence feeds. Built with
Designed for analysts, researchers, and anyone curious about global events, ShadowBroker is fully open-source and doesn't collect or transmit user data. It's a self-hosted backend that runs entirely in your browser. From tracking Air Force One to monitoring earthquakes and wildfires, this platform is a one-stop-shop for real-time geospatial intelligence.
To get started, simply clone the repository and run it with
ShadowBroker is the ultimate game-changer for anyone who wants to uncover the truth: see the world like never before, all in one place.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/BigBodyCobain/Shadowbroker
📝 Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.
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Imagine a single platform where you can track aircraft, ships, satellites, and even CCTV cameras in real-time, all on a dark-ops map interface. This is what ShadowBroker offers - a decentralized intelligence platform that aggregates data from 60+ live intelligence feeds. Built with
Next.js, MapLibre GL, FastAPI, and Python, it features 35+ toggleable data layers, multiple visual modes, and an obfuscated communications protocol. Designed for analysts, researchers, and anyone curious about global events, ShadowBroker is fully open-source and doesn't collect or transmit user data. It's a self-hosted backend that runs entirely in your browser. From tracking Air Force One to monitoring earthquakes and wildfires, this platform is a one-stop-shop for real-time geospatial intelligence.
To get started, simply clone the repository and run it with
docker compose - no local building required. With regular updates and a strong focus on community involvement, ShadowBroker is the perfect tool for those who want to stay informed about global events. ShadowBroker is the ultimate game-changer for anyone who wants to uncover the truth: see the world like never before, all in one place.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🔍 Deep-diving into humanlayer/12-factor-agents — fresh off the trending list.
🔗 https://github.com/humanlayer/12-factor-agents
📝 What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
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The 12-factor-agents GitHub repository provides a set of principles for building reliable LLM applications. The project, inspired by the 12 Factor Apps methodology, aims to help developers create more maintainable and scalable LLM-powered software.
Key features include a set of 12 factors, such as
Developers can use these factors to build more robust and efficient agents, and the repository provides a community-driven discussion for feedback and contributions.
The target audience for this repository includes developers and founders working with LLMs, particularly those interested in building production-ready customer-facing agents.
From a technical perspective, the repository highlights the importance of
In summary, the 12-factor-agents repository offers a valuable resource for developers seeking to build reliable and scalable LLM applications, with a focus on user value and maintainability.
One key takeaway: building reliable LLM applications requires a deep understanding of the underlying principles and a focus on creating maintainable and scalable software.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/humanlayer/12-factor-agents
📝 What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
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The 12-factor-agents GitHub repository provides a set of principles for building reliable LLM applications. The project, inspired by the 12 Factor Apps methodology, aims to help developers create more maintainable and scalable LLM-powered software.
Key features include a set of 12 factors, such as
own your prompts, own your context window, and make your agent a stateless reducer, which serve as guidelines for designing and implementing LLM applications. Developers can use these factors to build more robust and efficient agents, and the repository provides a community-driven discussion for feedback and contributions.
The target audience for this repository includes developers and founders working with LLMs, particularly those interested in building production-ready customer-facing agents.
From a technical perspective, the repository highlights the importance of
unifying execution state and business state and launching/pausing/resuming with simple APIs. In summary, the 12-factor-agents repository offers a valuable resource for developers seeking to build reliable and scalable LLM applications, with a focus on user value and maintainability.
One key takeaway: building reliable LLM applications requires a deep understanding of the underlying principles and a focus on creating maintainable and scalable software.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🎯 NVlabs/Sana landed on trending. Worth a proper look.
🔗 https://github.com/NVlabs/Sana
📝 SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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The SANA project is an open-source codebase for efficient high-resolution image and video generation, providing complete training and inference pipelines. It includes various models such as SANA-1.5, SANA-Sprint, SANA-Video, and Sol-RL.
The key features of
Technical highlights of
The target audience for
The project has a strong focus on community engagement, with a Discord channel for discussions and a range of resources and tools available for contributors.
In summary,
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/NVlabs/Sana
📝 SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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The SANA project is an open-source codebase for efficient high-resolution image and video generation, providing complete training and inference pipelines. It includes various models such as SANA-1.5, SANA-Sprint, SANA-Video, and Sol-RL.
The key features of
SANA include its efficiency, scalability, and support for multiple models and techniques. The project also provides a range of tools and resources, including documentation, demos, and pre-trained models.Technical highlights of
SANA include its use of techniques such as causal linear attention, mix-FFN, and inference-time scaling. The project also supports various frameworks and libraries, including diffusers and ComfyUI.The target audience for
SANA includes researchers, developers, and practitioners in the field of computer vision and machine learning. The project has a strong focus on community engagement, with a Discord channel for discussions and a range of resources and tools available for contributors.
In summary,
SANA is a powerful and efficient codebase for high-resolution image and video generation, with a strong focus on community engagement and support. With its range of models, techniques, and resources, SANA is an ideal choice for anyone looking to explore the latest advances in computer vision and machine learning: join the SANA community today and start generating stunning images and videos!──────────────────────────────
🧠 Channel: https://t.me/GithubRe