Github Top Repositories
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🔥 ruvnet/RuView is trending — and it deserves your attention.
🔗 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 transforms radio signals into spatial intelligence, allowing for detection of people, measurement of breathing and heart rate, tracking of movement, and monitoring of rooms - all without cameras or wearables. Key features include presence and occupancy detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring.
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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 transforms radio signals into spatial intelligence, allowing for detection of people, measurement of breathing and heart rate, tracking of movement, and monitoring of rooms - all without cameras or wearables. Key features include presence and occupancy detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring.
Usage involves a mesh of low-cost ESP32 sensors that capture Channel State Information (CSI) and turn it into actionable data. docker pull ruvnet/wifi-densepose:latestThe system is technically notable for its use of spiking neural networks, multi-frequency mesh scanning, and cryptographic attestation. RuView is suitable for various audiences, including healthcare, retail, and smart home applications. One-liner takeaway: RuView turns WiFi into a superpower, sensing the world around you without cameras or wearables.
docker run -p 3000:3000 ruvnet/wifi-densepose:latest
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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📌 Spotted on GitHub Trending: pranshuparmar/witr — let's break it down.
🔗 https://github.com/pranshuparmar/witr
📝 Why is this running?
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witr is a tool that answers the question "Why is this running?" by explaining where a running process came from, how it was started, and what chain of systems is responsible for it existing. It provides a human-readable output or an interactive TUI dashboard. The tool is distributed as a single static binary for Linux, macOS, FreeBSD, and Windows, and can be installed via various package managers, such as
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/pranshuparmar/witr
📝 Why is this running?
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witr is a tool that answers the question "Why is this running?" by explaining where a running process came from, how it was started, and what chain of systems is responsible for it existing. It provides a human-readable output or an interactive TUI dashboard. The tool is distributed as a single static binary for Linux, macOS, FreeBSD, and Windows, and can be installed via various package managers, such as
Homebrew, Conda, and Winget. witr is designed for system administrators, developers, and power users who need to understand the causality behind running processes. With witr, you can easily identify the root cause of a running process and take necessary actions. Get to the root of the matter with witr - it's like having a superpower for your system debugging!──────────────────────────────
🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🔍 Deep-diving into colbymchenry/codegraph — fresh off the trending list.
🔗 https://github.com/colbymchenry/codegraph
📝 Pre-indexed code knowledge graph for Claude Code — fewer tokens, fewer tool calls, 100% local
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Supercharge your coding experience with CodeGraph, a semantic code intelligence tool that enhances Claude Code. Key features include smart context building, full-text search, impact analysis, and framework-aware routes, supporting
To get started, run the installer with
Technical highlights include a SQLite database, file watcher with native OS events, and support for web-framework routing files. CodeGraph is designed for developers and teams looking to improve their coding efficiency and collaboration.
Takeaway: CodeGraph is a game-changer for coding productivity, providing a 100% local solution that's both powerful and easy to use.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/colbymchenry/codegraph
📝 Pre-indexed code knowledge graph for Claude Code — fewer tokens, fewer tool calls, 100% local
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Supercharge your coding experience with CodeGraph, a semantic code intelligence tool that enhances Claude Code. Key features include smart context building, full-text search, impact analysis, and framework-aware routes, supporting
19+ languages. To get started, run the installer with
npx @colbymchenry/codegraph, then initialize your project with codegraph init -i. This sets up a local knowledge graph that enables faster and smarter code exploration, with 94% fewer tool calls and 77% faster exploration on average.Technical highlights include a SQLite database, file watcher with native OS events, and support for web-framework routing files. CodeGraph is designed for developers and teams looking to improve their coding efficiency and collaboration.
Takeaway: CodeGraph is a game-changer for coding productivity, providing a 100% local solution that's both powerful and easy to use.
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🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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🚀 Meet tinyhumansai/openhuman: a gem from today's GitHub trending list.
🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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Meet OpenHuman, your personal AI super intelligence designed to integrate with you in your daily life. This open-source agentic assistant is private, simple, and extremely powerful. With a
Key features include 118+ third-party integrations with one-click OAuth, a
To get started, you can either download from the website or run the installation script in your terminal. The project is currently in early beta and is under active development, so expect some rough edges.
OpenHuman is perfect for anyone looking for a simple and powerful AI assistant that can integrate with their daily life. Whether you're a developer, a business user, or just someone looking for a new way to interact with AI, OpenHuman is definitely worth checking out.
In short, OpenHuman is revolutionizing the way we interact with AI, and with its user-centric approach and
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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Meet OpenHuman, your personal AI super intelligence designed to integrate with you in your daily life. This open-source agentic assistant is private, simple, and extremely powerful. With a
clean desktop experience and short onboarding paths, you can get started in just a few clicks. Key features include 118+ third-party integrations with one-click OAuth, a
Memory Tree that stores your data locally, and auto-fetch that pulls fresh data into your memory tree every 20 minutes. You also get batteries included with web search, a web-fetch scraper, a full coder toolset, and native voice capabilities.To get started, you can either download from the website or run the installation script in your terminal. The project is currently in early beta and is under active development, so expect some rough edges.
OpenHuman is perfect for anyone looking for a simple and powerful AI assistant that can integrate with their daily life. Whether you're a developer, a business user, or just someone looking for a new way to interact with AI, OpenHuman is definitely worth checking out.
In short, OpenHuman is revolutionizing the way we interact with AI, and with its user-centric approach and
cutting-edge technology, it's an AI assistant that truly puts the user first - your new AI sidekick is just a click away.──────────────────────────────
🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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🎯 HKUDS/CLI-Anything landed on trending. Worth a proper look.
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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Introducing CLI-Anything, a game-changer for making any software agent-native. The purpose of CLI-Anything is to bridge the gap between AI agents and the world's software, enabling agents to interact with various applications seamlessly.
Key Features:
-
- Support for multiple AI coding agents, including Claude Code, Pi, OpenClaw, and more
- Structured and composable text commands for complex workflows
- Lightweight and universal with minimal overhead, working across all systems without dependencies
Usage: Simply install the
Technical Highlights:
-
- Self-describing CLIs with automatic documentation via
- Deterministic and reliable results for predictable agent behavior
Audience: Developers, AI researchers, and anyone interested in making software agent-native.
In summary, CLI-Anything is a powerful tool for bridging the gap between AI agents and software, and its agent-first design makes it an ideal choice for those looking to create seamless interactions between humans and agents.
With CLI-Anything, the future of human-AI collaboration is just one command line away.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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Introducing CLI-Anything, a game-changer for making any software agent-native. The purpose of CLI-Anything is to bridge the gap between AI agents and the world's software, enabling agents to interact with various applications seamlessly.
Key Features:
-
CLI-Hub: a central registry for browsing, searching, and installing CLIs with a single pip command- Support for multiple AI coding agents, including Claude Code, Pi, OpenClaw, and more
- Structured and composable text commands for complex workflows
- Lightweight and universal with minimal overhead, working across all systems without dependencies
Usage: Simply install the
cli-anything-hub package using pip, then use the cli-hub command to browse, install, and manage CLIs.Technical Highlights:
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Python 3.10+ support- Self-describing CLIs with automatic documentation via
--help flags- Deterministic and reliable results for predictable agent behavior
Audience: Developers, AI researchers, and anyone interested in making software agent-native.
In summary, CLI-Anything is a powerful tool for bridging the gap between AI agents and software, and its agent-first design makes it an ideal choice for those looking to create seamless interactions between humans and agents.
With CLI-Anything, the future of human-AI collaboration is just one command line away.
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🧠 Channel: https://t.me/GithubRe
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💡 calcom/cal.diy just hit the trending charts — here's why it matters.
🔗 https://github.com/calcom/cal.diy
📝 Scheduling infrastructure for absolutely everyone.
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Introduction to Cal.diy: Cal.diy is the community-driven, open-source scheduling platform, a fork of Cal.com with all enterprise/commercial code removed. It's designed for individuals and self-hosters who want full control over their scheduling infrastructure without any commercial dependencies.
Key Features:
- 100% MIT-licensed with no proprietary "Enterprise Edition" features
- No license key required, everything works out of the box
- Community-maintained, contributions are welcome
- Built with Next.js, tRPC, React.js, Tailwind CSS, Prisma.io, and Daily.co
To get started, clone the repo, install packages with yarn, set up your .env file, and configure Node. You can use the quick start with `yarn dx` or manual setup with PostgreSQL.
Technical Highlights:
- Self-hosted project, no hosted/managed version
- Requires advanced knowledge of server administration, database management, and securing sensitive data
- Uses Docker and Docker Compose for local development
Audience:
Cal.diy is intended for personal, non-production use, and is strictly recommended for users who are comfortable with self-hosting and have advanced knowledge of server administration and database management.
Takeaway: With Cal.diy, you have full control over your scheduling infrastructure, but be prepared to take on the responsibilities of self-hosting and maintenance.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/calcom/cal.diy
📝 Scheduling infrastructure for absolutely everyone.
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Introduction to Cal.diy: Cal.diy is the community-driven, open-source scheduling platform, a fork of Cal.com with all enterprise/commercial code removed. It's designed for individuals and self-hosters who want full control over their scheduling infrastructure without any commercial dependencies.
Key Features:
- 100% MIT-licensed with no proprietary "Enterprise Edition" features
- No license key required, everything works out of the box
- Community-maintained, contributions are welcome
- Built with Next.js, tRPC, React.js, Tailwind CSS, Prisma.io, and Daily.co
Usage: To get started, clone the repo, install packages with yarn, set up your .env file, and configure Node. You can use the quick start with `yarn dx` or manual setup with PostgreSQL.
Technical Highlights:
- Self-hosted project, no hosted/managed version
- Requires advanced knowledge of server administration, database management, and securing sensitive data
- Uses Docker and Docker Compose for local development
Audience:
Cal.diy is intended for personal, non-production use, and is strictly recommended for users who are comfortable with self-hosting and have advanced knowledge of server administration and database management.
Takeaway: With Cal.diy, you have full control over your scheduling infrastructure, but be prepared to take on the responsibilities of self-hosting and maintenance.
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🧠 Channel: https://t.me/GithubRe