Github Top Repositories

📌 Spotted on GitHub Trending: ruvnet/RuView — let's break it down. 🔗 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. ────────────────────────────── RuView is a WiFi sensing platform that turns radio signals into spatial intelligence, detecting people, tracking movement, and monitoring rooms without cameras or wearables. It works with major smart-home ecosystems like Home Assistant, Apple Home, Google Home, and Alexa. Key features include presence detection, vital sign measurement, activity recognition, and environment mapping. It's built on RuVector and Cognitum Seed, running entirely on edge hardware like ESP32 nodes. The system learns each environment locally using spiking neural networks and multi-frequency mesh scanning. It's designed for low-power edge applications, with edge modules that run directly on the ESP32 sensor. RuView is perfect for those looking for a contactless, camera-free sensing solution for various applications, including health, security, and research. One notable aspect is its wifi-densepose-pretrained model, which can estimate 17 body keypoints from WiFi CSI. With its guided operation and honesty checks, RuView is a robust and reliable choice. In short, RuView turns WiFi into a powerful sensing tool, making it an exciting solution for various use cases, and its ability to provide accurate spatial intelligence without cameras or wearables is a game-changer. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 LadybirdBrowser/ladybird landed on trending. Worth a proper look. 🔗 https://github.com/LadybirdBrowser/ladybird 📝 Truly independent web browser ────────────────────────────── The Ladybird browser is a truly independent web browser, built using a novel engine based on web standards. It features a multi-process architecture with separate processes for UI, rendering, image decoding, and networking, making it more robust against malicious content. Key features include out-of-process image decoding and network connections, as well as a sandboxed renderer process for each tab. Ladybird inherits various core library components from SerenityOS, such as LibWeb, LibJS, and LibCrypto. To get started, follow the build instructions to build and run Ladybird on Linux, macOS, Windows, or other Unix-like systems. The project is currently in a pre-alpha state and is primarily suited for developers. To participate, join the Discord server and read the CONTRIBUTING.md guidelines. One-liner takeaway: Ladybird is a developer-oriented, independently-engineered browser that's still in its early stages, but shows great promise for a secure and robust browsing experience. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into PrimeIntellect-ai/prime-agent — fresh off the trending list. 🔗 https://github.com/PrimeIntellect-ai/prime-agent 📝 A self-improving RLM agent for coding workflows and long-running autonomous tasks. ────────────────────────────── The Prime Agent is a self-improving Recursive Language Model (RLM) agent designed for general and long-running work. Its key features include a persistent Python control environment and durable harness state, allowing useful working context and reusable operating patterns to outlive a single chat window. The agent combines a Continual Harness that stores supplemental prompts, memories, and reusable subagent specifications with a Recursive Language Model (RLM) that treats context as variables and tools like recursive subagents as function calls. You can install the agent using

curl -fsSL https://app.primeintellect.ai/prime-agent/install.sh | sh

and start it from the repository or directory you want it to work in. Getting started is straightforward: simply run

prime-agent

and follow the prompts. The agent is built for long-running work, especially for evaluations in research, with features like direct agent-to-agent communication, daemon-backed continuity, and heartbeats and schedules. The Prime Agent is perfect for researchers, developers, and anyone looking for a powerful tool to streamline their workflow. Takeaway: With Prime Agent, you can work smarter, not harder. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 paperclipai/paperclip just hit the trending charts — here's why it matters. 🔗 https://github.com/paperclipai/paperclip 📝 The open-source app everyone uses to manage agents at work ────────────────────────────── Paperclip is an open-source platform that helps manage AI agents for work. It's designed to orchestrate a team of AI agents to run a business, allowing users to bring their own agents, assign goals, and track work and costs from one dashboard. Under the hood, Paperclip has org charts, budgets, governance, goal alignment, and agent coordination. The platform is built around four pillars: Agentic Task Manager, Org Chart for Agents, Agent Employee Training, and Agentic OS. It features a Bring Your Own Agent approach, Goal Alignment, Heartbeats, Cost Control, and Governance. Paperclip is suitable for those who want to build autonomous AI companies, coordinate multiple agents, and manage costs. The platform is mobile-ready, allowing users to monitor and manage their autonomous businesses from anywhere. In short, Paperclip is the control plane for your autonomous business, and with it, you can manage business goals, not pull requests. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into addyosmani/agent-skills — fresh off the trending list. 🔗 https://github.com/addyosmani/agent-skills 📝 Production-grade engineering skills for AI coding agents. ────────────────────────────── Agent Skills is a GitHub repository that provides production-grade engineering skills for AI coding agents. The repository includes 24 skills that encode workflows, quality gates, and best practices for senior engineers. These skills are packaged to help AI agents follow them consistently across every phase of development. The repository offers 8 slash commands that map to the development lifecycle, including /spec, /plan, /build, /test, /review, /webperf, /code-simplify, and /ship. It also includes a /build auto command that generates a plan and implements every task in a single approved pass. To get started, you can install the skills using the skills CLI or by cloning the repository and following the setup instructions for your preferred tool, such as Claude Code, Cursor, or Codex. The repository is designed for developers who want to automate manual steps and ensure consistent quality in their code. The skills are structured workflows with steps, verification gates, and anti-rationalization tables that help AI agents make informed decisions. Agent Skills is a powerful tool for any developer looking to improve their coding efficiency and quality - it's like having a senior engineer guiding your AI coding agent every step of the way! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ NanmiCoder/MediaCrawler is making waves. Here's the full picture. 🔗 https://github.com/NanmiCoder/MediaCrawler 📝 小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫 ────────────────────────────── MediaCrawler is a powerful multi-platform media data collection tool that supports the collection of publicly available information from popular platforms like Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, and Zhihu. The tool is built using the Playwright browser automation framework and does not require JavaScript reverse engineering. It utilizes a saved login state and browser context to obtain signature parameters through JavaScript expressions. Key features of MediaCrawler include: * Support for multiple platforms * Keyword search and specified post ID crawling * Comment crawling and generation of word clouds * Login state caching and IP proxy pool * Data storage in various formats such as CSV, JSON, and Excel Technical highlights include the use of Playwright for browser automation, a uv package manager for dependency management, and a Node.js installation for running the tool. Audience: MediaCrawler is suitable for developers, researchers, and individuals who need to collect data from social media platforms for analysis, research, or other purposes. To get started, users can install the required dependencies, configure the tool, and run the crawler using the provided commands. One-liner takeaway: MediaCrawler is a versatile and powerful tool for collecting publicly available data from multiple social media platforms, making it an ideal solution for researchers, developers, and analysts. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into msitarzewski/agency-agents — fresh off the trending list. 🔗 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. ────────────────────────────── The Agency is a unique collection of AI agent personalities designed to transform your workflow. Each agent is specialized, with a unique voice and deliverable-focused approach. The agency includes a diverse range of agents, from Frontend Developer to AI Engineer, each with their own personality traits and technical expertise. To get started, you can install the app for macOS, Linux, or Windows, which allows you to browse and install agents into various tools like Claude Code, Cursor, and Codex. Alternatively, you can use the scripts/install.sh command to install agents via the terminal. The agency is designed to be production-ready, with battle-tested workflows and success metrics. You can think of it as assembling your dream team of AI specialists who never sleep, never complain, and always deliver. The key features of the agency include: * Specialized agents with unique personalities and expertise * Deliverable-focused approach with measurable outcomes * Production-ready workflows and success metrics * Easy installation via app or terminal scripts The agency is suitable for a wide range of users, from developers and engineers to project managers and business owners. Whether you're looking to automate tasks, improve workflows, or enhance productivity, the agency has something to offer. In short, The Agency is a game-changer for anyone looking to leverage the power of AI to transform their workflow. With its unique approach to AI agent personalities and deliverable-focused mindset, it's an indispensable tool for anyone looking to streamline processes and boost productivity. Transform your workflow with The Agency - where AI meets personality! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet semantica-agi/semantica: a gem from today's GitHub trending list. 🔗 https://github.com/semantica-agi/semantica 📝 Graph-Native Infrastructure for Context and Accountable AI Systems ────────────────────────────── Semantica is an open-source, graph-native infrastructure that provides context and accountable AI systems. It's designed for high-stakes, regulated domains where AI agents need to make consequential decisions. Key features include context graphs, decision intelligence, deterministic reasoning, ontology management, and end-to-end traceability. To get started, simply run

pip install semantica

. Technical highlights include polyglot graph storage, RDF and LPG support, W3C standards, and interoperability. Semantica is perfect for AI/ML platform teams, data platform teams, compliance and audit teams, and regulated enterprises that need a trustworthy and explainable AI system. In short, Semantica brings transparency and accountability to AI decision-making. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 GitX — AI-powered Git workflow automation GitX is a portable Agent Skill that helps AI agents work with Git more safely and efficiently. ✨ Features: • Smart Conventional Commits • Automatic commit grouping • Branch creation & management • Pre-commit checks • PR & Issue automation • Merge/rebase conflict assistance • Selective commits • Sensitive file warnings Works with Codex, Claude Code, Cursor and other Agent Skills-compatible AI agents. 🔗 GitHub: https://github.com/MusoyanGrigor/gitx-skill

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💡 pingdotgg/t3code just hit the trending charts — here's why it matters. 🔗 https://github.com/pingdotgg/t3code 📝 No description. ────────────────────────────── T3 Code is an open-source "agent harness control surface" that lets you control agents like Codex, Claude, and Cursor from a best-in-class mobile app, web app, or Electron-based desktop app. It's designed to be performant, remote-ready, and truly open, allowing you to fork and build your own editor if needed. To get started, you'll need to install and authenticate at least one provider, such as Codex or Claude, and then run npx t3@latest to launch the T3 Code backend and local web app. You can also install the desktop app from GitHub Releases or your favorite package registry. The project is still in its early stages, so expect bugs, and contributions are currently not being accepted, except for small fixes. Some key features include: * Support for multiple agents and providers * Remote access from a phone or another machine * Customizable project icons and keyboard shortcuts * Source control integrations For developers, T3 Code uses Vite+ and provides a vp command-line tool for building and installing dependencies. Takeaway: T3 Code is a powerful, open-source tool for controlling agents and building custom development experiences - and it's just getting started! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔥 harveyai/harvey-labs is trending — and it deserves your attention. 🔗 https://github.com/harveyai/harvey-labs 📝 A benchmark built to evaluate and improve agent capabilities for supporting legal work. ────────────────────────────── Introducing the Harvey LAB, an open-source benchmark for evaluating agents on real legal work. This project provides a dataset of tasks and an execution harness to assess the abilities of LLM agents in realistic environments. The LAB consists of 1671 tasks across 24+ legal practice areas, with a focus on contracting. To get started, check out the tutorial.md for a walkthrough of a realistic M&A data-room assignment. Additional documentation is available, including guides on architecture, evaluation methodology, and contributing to the project. The Harvey LAB is perfect for researchers and developers looking to improve the performance of LLM agents in legal work. With its MIT license and ongoing development, this project has the potential to make a significant impact in the field. So why wait? Dive into the world of legal AI and explore the Harvey LAB today - benchmarking the future of law, one agent at a time! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ Comfy-Org/ComfyUI is making waves. Here's the full picture. 🔗 https://github.com/Comfy-Org/ComfyUI 📝 The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. ────────────────────────────── ComfyUI is the most powerful and modular AI engine for content creation, offering a node graph interface for generating images, videos, 3D models, audio, and more. It natively supports state-of-the-art models and provides API nodes for closed source models. Available on Windows, Linux, and macOS, ComfyUI can be used locally with a desktop application or portable install, or on the Comfy Cloud. Its key features include a visual node graph, reusable subgraphs, and efficient local execution. ComfyUI is suitable for visual professionals who demand control over every aspect of their work. With its broad native model support and customizable nodes, ComfyUI is a versatile tool for content creation. Try it out and experience the power of AI-driven content creation - ComfyUI: where creativity meets innovation. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: google/skills — let's break it down. 🔗 https://github.com/google/skills 📝 Agent Skills for Google products and technologies ────────────────────────────── The google/skills GitHub repository is a collection of Agent Skills for various Google products and technologies, including Google Cloud. The repository is under active development and provides a wide range of skills, from getting started with Google Cloud to more advanced topics like AI/ML, infrastructure, and management tools. To use these skills, you can install them using the command npx skills add google/skills, and then select the specific skills you want to install. The repository also includes plugins for agent harnesses like Claude Code, Codex, and Antigravity CLI. The skills are organized into categories, including AI/ML, Infrastructure, Databases and analytics, and Security and identity, among others. Each skill provides a specific set of instructions or guidelines for completing a task or achieving a particular outcome. The repository is maintained by Google and is open to contributions from the community. If you need help or encounter issues with these skills, you can search for existing issues or open a new one in the GitHub Issue Tracker. Overall, the google/skills repository is a valuable resource for anyone looking to develop skills and expertise in Google products and technologies. With its wide range of skills and plugins, it's a great way to get started with Google Cloud and other Google technologies. You can npx skills add google/skills and start building your skills today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe