Github Top Repositories

🌟 PostHog/posthog caught my eye on GitHub Trending today. 🔗 https://github.com/PostHog/posthog 📝 🦔 PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP. ────────────────────────────── PostHog is an open-source platform for building self-driving products, providing a suite of tools to help you understand user behavior, diagnose issues, and optimize your product. With PostHog, you can capture product analytics, web analytics, session replays, feature flags, experiments, error tracking, logs, surveys, and more. The platform is free to use with a generous monthly free tier, and you can self-host it or use the cloud version. Key features include: - Self-driving mode: Turns signals in your product data into researched reports and pull requests. - Product analytics: Autocapture or manually instrument event-based analytics. - Web analytics: Monitor web traffic and user sessions with a GA-like dashboard. - Session replays: Watch real user sessions to diagnose issues and understand user behavior. - Feature flags: Safely roll out features to select users or cohorts. You can get started by signing up for PostHog Cloud US or PostHog Cloud EU, or by self-hosting the open-source hobby deploy with

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)"

. PostHog is ideal for product teams, developers, and anyone looking to build a successful product. With its robust feature set and generous free tier, PostHog is a game-changer for anyone looking to take their product to the next level. Try PostHog today and discover the power of self-driving products - it's like having a superpower for your product! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 codecrafters-io/build-your-own-x is trending — and it deserves your attention. 🔗 https://github.com/codecrafters-io/build-your-own-x 📝 Master programming by recreating your favorite technologies from scratch. ────────────────────────────── The codecrafters-io/build-your-own-x repository offers a vast collection of step-by-step guides for re-creating popular technologies from scratch, including 3D renderers, AI models, blockchains, and more. With tutorials covering a wide range of programming languages, such as C++, Java, Python, and JavaScript, developers can choose their preferred language to build and learn. The repository provides a unique opportunity for hands-on learning, allowing users to gain a deeper understanding of complex technologies by building them from the ground up. Whether you're a beginner or an experienced developer, this repository has something for everyone. So, get ready to code and learn! Build your own technology from scratch and discover the power of hands-on learning: "What I cannot create, I do not understand" becomes your new motto. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 ossu/computer-science landed on trending. Worth a proper look. 🔗 https://github.com/ossu/computer-science 📝 🎓 Path to a free self-taught education in Computer Science! ────────────────────────────── The ossu/computer-science GitHub repository offers a free and well-structured computer science curriculum. Its purpose is to provide a complete education in computer science using online materials, covering topics from computation and imperative programming to discrete mathematics and software architecture. The curriculum is designed to be completed in about 2 years with a time commitment of roughly 20 hours/week. It's suitable for self-motivated individuals who want a proper, well-rounded grounding in computer science concepts. The community provides support through a Discord server and GitHub issues. To get started, simply explore the curriculum and begin with the Intro CS course. Remember, you can't purchase success, so be prepared to put in the effort to achieve your goals! Learn to code, and code to learn - the world of computer science awaits! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: codecrafters-io/build-your-own-x — let's break it down. 🔗 https://github.com/codecrafters-io/build-your-own-x 📝 Master programming by recreating your favorite technologies from scratch. ────────────────────────────── The GitHub repository "codecrafters-io/build-your-own-x" is a collection of step-by-step guides for building various technologies from scratch. Key features include tutorials on creating a 3D renderer, AI model, augmented reality, BitTorrent client, blockchain, bot, command-line tool, database, and many more. Usage of this repository allows developers to gain hands-on experience and deepen their understanding of different technologies. Technical highlights include the use of various programming languages such as C++, Java, Python, and JavaScript. The repository is suitable for developers of all levels, from beginners to experienced professionals, looking to expand their skill set. With over 50 technologies to choose from, this repository is an excellent resource for anyone looking to learn and build something new. Build something from scratch and you'll understand it forever! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ Graphify-Labs/graphify is making waves. Here's the full picture. 🔗 https://github.com/Graphify-Labs/graphify 📝 AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph. ────────────────────────────── Graphify is a powerful tool that helps you uncover hidden connections in your data. With its multimodal capabilities, you can drop in various file types such as code, PDFs, markdown, screenshots, diagrams, and images, and it will extract concepts and relationships from them to create a comprehensive knowledge graph. To use graphify, simply type /graphify in Claude Code, followed by the directory you want to analyze. The output will include an interactive graph, Obsidian vault, Wikipedia-style articles, and a report highlighting key nodes, surprising connections, and suggested questions. Some of the key technical highlights of graphify include its use of NetworkX, Leiden, tree-sitter, Claude, and vis.js. It also supports various file types, including code, documents, papers, and images, and provides features like auto-sync and git commit hooks. Graphify is ideal for researchers, developers, and knowledge workers who want to gain insights from their data and discover new connections. In a nutshell, graphify helps you turn chaos into clarity - try it out and uncover the hidden patterns in your data! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 ibelick/ui-skills just hit the trending charts — here's why it matters. 🔗 https://github.com/ibelick/ui-skills 📝 Skills for Design Engineers ────────────────────────────── The ui-skills GitHub repository is designed for Design Engineers, providing a set of skills to enhance their user interface (UI) capabilities. The key feature of this project is its ability to route agents through the right UI skill set for a specific task using the command npx ui-skills start. The repository offers a range of commands, including:

npx ui-skills
npx ui-skills start
npx ui-skills categories
npx ui-skills list --category motion
npx ui-skills get baseline-ui

Technical highlights of this project include its command-line interface (CLI) and MIT license, making it accessible and easy to use. The ui-skills repository is perfect for design engineers and developers looking to improve their UI skills. In a nutshell, ui-skills is your one-stop-shop for all UI needs - boost your design skills with just one command! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet github/copilot-sdk: a gem from today's GitHub trending list. 🔗 https://github.com/github/copilot-sdk 📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services ────────────────────────────── The Github Copilot SDK is a set of APIs that allow developers to embed Copilot's agentic workflows into their applications. The SDK exposes the same engine behind Copilot CLI, a production-tested agent runtime that can be invoked programmatically. With the SDK, developers can define agent behavior, and Copilot handles planning, tool invocation, file edits, and more. The SDK is available for multiple programming languages, including Python, JavaScript (via TypeScript), Go, .NET, Java, and Rust. Each language has its own implementation, with documentation and example usage provided. To get started, developers can install the SDK using package managers like npm or pip, and then import the SDK into their application. The SDK manages the Copilot CLI process lifecycle automatically, and developers can also connect to an external CLI server. The SDK supports multiple authentication methods, including GitHub signed-in user, OAuth GitHub App, environment variables, and BYOK (Bring Your Own Key). It also allows developers to define custom agents, skills, and tools, and provides instructions and guidance for Copilot to speed up development. Overall, the Github Copilot SDK provides a powerful and flexible way for developers to integrate Copilot's AI-powered coding capabilities into their applications. With the SDK, you can unlock the full potential of Copilot and take your development to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet mattpocock/skills: a gem from today's GitHub trending list. 🔗 https://github.com/mattpocock/skills 📝 Skills for Real Engineers. Straight from my .claude directory. ────────────────────────────── Unlock Efficient Software Development with the GitHub repo "mattpocock/skills". This collection of skills is designed to help real engineers develop applications efficiently, tackling common failure modes in software development. The key features of this repo include grilling sessions to align with the agent, a shared language to reduce verbosity, and feedback loops to ensure the code works as expected. To get started, simply run the skills.sh installer and pick the skills you want to use. You can also install the skills as a Claude Code plugin for a plug-and-play experience. These skills are perfect for developers and engineers looking to streamline their workflow and develop high-quality applications. With mattpocock/skills, you can focus on writing great code and leave the tedious tasks to the agent. In short, mattpocock/skills helps you build better software, faster. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet HKUDS/DeepTutor: a gem from today's GitHub trending list. 🔗 https://github.com/HKUDS/DeepTutor 📝 DeepTutor: Lifelong Personalized Tutoring.https://deeptutor.info/. ────────────────────────────── DeepTutor: Lifelong Personalized Tutoring is an innovative platform that offers a personalized learning experience. Its key features include a chat agent loop, multimodal image extraction, and support for multiple languages. To get started, simply visit the deeptutor.info website and follow the instructions. The platform is built using Python 3.11+ and Next.js 16, and is licensed under the Apache 2.0 license. The platform is designed for students, educators, and researchers who want to create a personalized learning experience. It offers a range of technical highlights, including support for multiple AI models, a knowledge graph, and a customizable interface. The platform also has a strong community of contributors and users, who can be reached through Discord, Feishu, and WeChat. Overall, DeepTutor is a powerful tool for anyone looking to create a personalized learning experience. With its user-friendly interface and advanced features, it's an ideal choice for anyone looking to take their learning to the next level. Get started with DeepTutor today and discover a new way of learning! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: YimMenu/YimMenuV2 — let's break it down. 🔗 https://github.com/YimMenu/YimMenuV2 📝 Experimental menu for GTA 5: Enhanced ────────────────────────────── The YimMenuV2 GitHub repository is a C++20 mod menu base project, created as a personal learning experience. Its template-heavy approach aims to provide a foundation for mod menus. The project is structured into three main directories: core for essential features, game for game-specific implementations, and util for miscellaneous functions. This base is ideal for developers looking to explore C++20 and mod menu development. It's a work in progress, with a core, game, and util structure that's easy to navigate. The takeaway: template your way to mod menu mastery with YimMenuV2. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into lobehub/lobehub — fresh off the trending list. 🔗 https://github.com/lobehub/lobehub 📝 🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team. ────────────────────────────── LobeHub is a cutting-edge platform that revolutionizes the way you work with AI agents. Its purpose is to organize your agents into a 24/7 operation, allowing you to hire, schedule, and report on your entire AI team. The key features include Agent Builder, Unified Intelligence, and 10,000+ Skills to connect your agents to the tools you use every day. To get started, you can self-host LobeHub using Vercel, Docker, or Alibaba Cloud, making it easy to deploy and manage your AI team. The platform also allows for Collaboration and Co-evolution of humans and agents, enabling parallel collaboration and iterative improvement. LobeHub is ideal for developers and users looking to streamline their AI workflow. With its open-source nature and active community, you can provide feedback and contribute to its development. In a nutshell, LobeHub is your one-stop-shop for AI agent management - it's like having your own AI team, minus the hassle! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 Shubhamsaboo/awesome-llm-apps landed on trending. Worth a proper look. 🔗 https://github.com/Shubhamsaboo/awesome-llm-apps 📝 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. ────────────────────────────── The Shubhamsaboo/awesome-llm-apps GitHub repository is a treasure trove of 100+ open-source AI agents, agent skills, and RAG apps that can be easily cloned and customized. With a focus on Apache-2.0 licensed projects, this repository offers a wide range of applications, from agent skills that can be added to existing coding agents to starter AI agents that can be run with just an API key. The repository also features advanced AI agents with tools, memory, and multi-step reasoning, as well as always-on agents that run on schedules or events. Whether you're a developer looking to build on top of these projects or a user looking to explore the possibilities of AI, this repository has something for everyone. Get started with a new skill in 10 seconds using npx skills add https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/project-graveyard and discover the power of AI agents for yourself. With new templates dropping weekly, the possibilities are endless - clone, customize, and create your own AI agent today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 hasaneyldrm/exercises-dataset is trending — and it deserves your attention. 🔗 https://github.com/hasaneyldrm/exercises-dataset 📝 1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, and step-by-step instructions in 6 languages. The exercise data layer behind the LogPress app. ────────────────────────────── The hasaneyldrm/exercises-dataset repository is a treasure trove of fitness enthusiasts, containing a comprehensive dataset of 1,324 exercises with detailed metadata, including category, body-part, equipment, target and muscle-group data. Each exercise comes with an animation GIF and a 180×180 thumbnail image, along with step-by-step instructions in 10 languages. The dataset is perfect for building fitness or workout planning applications, machine learning projects, health and wellness research, and educational demonstrations. To get started, you can explore the interactive index.html browser, which allows you to filter exercises by category, equipment, and target muscle. The setup.html guide provides a step-by-step tutorial on integrating the dataset into your own application, including database setup and API integration. Whether you're a developer, researcher, or fitness enthusiast, this dataset has something to offer. So, dive in and start exploring the world of exercises! Takeaway: With the hasaneyldrm/exercises-dataset, you can power your fitness applications and take your workout planning to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: PrismML-Eng/Bonsai-demo — let's break it down. 🔗 https://github.com/PrismML-Eng/Bonsai-demo 📝 Bonsai Demo ────────────────────────────── The Bonsai-demo repository provides a local demo for running Bonsai and Ternary-Bonsai language models on various platforms, including Mac, Linux, Windows, and CPU. The repository features vision-language models that accept images and text, as well as agentic tool calling and reasoning models. To get started, users can run the ./setup.sh command to download the required models and binaries, and then use the ./scripts/start_llama_server.sh command to start the demo server. The repository supports different model sizes, including 27B, 8B, 4B, and 1.7B, and allows users to switch between the Ternary and 1-bit families. The demo is suitable for developers and researchers interested in natural language processing and computer vision. With its tiny footprint and support for long context conversations, the Bonsai-demo is an exciting project that showcases the potential of efficient language models. One-liner takeaway: Experience the power of efficient language models with the Bonsai-demo, where you can run vision-language models locally and explore the possibilities of agentic tool calling and reasoning models. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe