Github Top Repositories

🔍 Deep-diving into logto-io/logto — fresh off the trending list. 🔗 https://github.com/logto-io/logto 📝 🧑‍🚀 Authentication and authorization infrastructure for SaaS and AI apps, built on OIDC and OAuth 2.1 with multi-tenancy, SSO, and RBAC. ────────────────────────────── Logto is an open-source auth infrastructure designed for SaaS and AI apps, simplifying OIDC and OAuth 2.1 implementation. It offers multi-tenancy, enterprise SSO, and RBAC out-of-the-box, along with pre-built sign-in flows, customizable UIs, and SDKs for over 30 frameworks. Key features include: - Full support for OIDC, OAuth 2.1, and SAML - Pre-built sign-in flows and customizable UIs - SDKs for 30+ frameworks To get started, you can use Logto Cloud for a fully managed experience, launch it in GitPod for a quick start, or opt for local development using Docker Compose or Node.js. Logto is perfect for developers and teams looking to simplify authentication without the usual headaches. With its flexible integration options and industry-standard protocols, it's suitable for a wide range of applications, from SPAs and web apps to mobile apps, APIs, and M2M services. One-liner takeaway: Logto revolutionizes authentication by providing a modern, open-source auth infrastructure that's easy to use and scales with your SaaS or AI app. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 allenai/olmocr is trending — and it deserves your attention. 🔗 https://github.com/allenai/olmocr 📝 Toolkit for linearizing PDFs for LLM datasets/training ────────────────────────────── The allenai/olmocr GitHub repository provides a toolkit for converting PDFs and image-based documents into clean, readable plain text format. This toolkit supports various features such as converting PDF, PNG, and JPEG documents into Markdown, handling equations, tables, handwriting, and complex formatting, and automatically removing headers and footers. The olmOCR toolkit is efficient, with a cost of less than $200 USD per million pages converted, and it requires a GPU for operation. The toolkit has a benchmark suite that covers over 7,000 test cases across 1,400 documents to measure the performance of OCR systems. To install the toolkit, you can use pip install with various options, including gpu for local GPU inference, beaker for Beaker cluster execution, and bench for running the benchmark suite. The toolkit can be used to convert single or multiple PDFs, and it supports remote inference servers. You can view the results as Markdown files inside the workspace folder. The olmOCR toolkit is suitable for developers, researchers, and anyone looking to convert large volumes of documents into readable text format. Here's a simple usage example:

olmocr ./localworkspace --markdown --pdfs olmocr-sample.pdf

In summary, allenai/olmocr is a powerful toolkit for document conversion, and its efficiency and features make it an ideal choice for large-scale document processing - Convert your documents in a snap with olmOCR! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into diegosouzapw/OmniRoute — fresh off the trending list. 🔗 https://github.com/diegosouzapw/OmniRoute 📝 Never stop coding. Free AI gateway: one endpoint, 231+ providers (50+ free), connect Claude Code, Codex, Cursor, Cline & Copilot to FREE Claude/GPT/Gemini. RTK+Caveman stacked compression saves 15-95% tokens, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA. ────────────────────────────── Imagine a world where you can access 236 AI providers through one endpoint, never hitting limits or breaking the bank. OmniRoute makes this a reality, offering ~1.6B free tokens/month and the ability to save up to 95% tokens with RTK + Caveman compression. This production-grade solution supports 16+ coding agents, including Claude Code, Codex, and Copilot, and features 17 routing strategies, circuit breakers, and TLS stealth. With $0 to start and 50+ providers with a free tier, OmniRoute is perfect for developers who want to build without limits. Join the community today and experience the power of OmniRoute for yourself. One endpoint, endless possibilities: OmniRoute is the ultimate game-changer for AI development. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet facebook/astryx: a gem from today's GitHub trending list. 🔗 https://github.com/facebook/astryx 📝 An open source design system that's fully customizable and agent ready ────────────────────────────── Astryx is an open-source design system built on React and StyleX, providing 150+ accessible components, brand-level theming, and a CLI. It's customizable, with open internals and no styling lock-in, allowing developers to override styles using className with Tailwind, CSS modules, or plain CSS. To get started, install Astryx and a theme using

npm install @astryxdesign/core @astryxdesign/theme-neutral

, then import pre-built CSS and use typed React components. The project includes a CLI tool for component documentation, templates, and themes. Technical highlights include a modular architecture, strong conventions, and a focus on accessibility. The project is designed for both humans and AI assistants, with a consistent API, documentation, and CLI. Astryx is suitable for developers and designers looking for a customizable design system. One-liner takeaway: Astryx empowers you to build consistent, accessible interfaces with ease, and customize them to fit your unique needs. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into hasaneyldrm/exercises-dataset — fresh off the trending list. 🔗 https://github.com/hasaneyldrm/exercises-dataset 📝 A comprehensive dataset of 433 fitness exercises. Each entry includes name, category, target muscle group, equipment, instructions, thumbnail image, and animation video. ────────────────────────────── The hasaneyldrm/exercises-dataset repository is a treasure trove for fitness enthusiasts and developers alike, offering a structured, multilingual exercise dataset that's perfect for building workout planning applications, machine learning projects, or health and wellness research. This dataset boasts 1,324 exercises with detailed metadata, including category, body part, equipment, target muscle, and step-by-step instructions in six languages: English, Spanish, Italian, Turkish, Russian, and Chinese. The repository includes an interactive browser for exploring exercises and a developer setup guide to help integrate the dataset into your own application, complete with SQL scripts for various databases and code examples in multiple programming languages. The dataset itself is formatted in JSON and covers a wide range of muscle groups, equipment types, and exercise categories. Whether you're a fitness enthusiast looking for new exercises, a developer seeking to build a workout app, or a researcher interested in exercise recognition or recommendation, this dataset has something for everyone. So why wait? Dive into the world of fitness and start exploring the hasaneyldrm/exercises-dataset today - your next great workout or app idea is just a git clone away! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into HKUDS/Vibe-Trading — fresh off the trending list. 🔗 https://github.com/HKUDS/Vibe-Trading 📝 "Vibe-Trading: Your Personal Trading Agent" ────────────────────────────── Vibe-Trading is a personal trading agent that can be empowered with comprehensive trading capabilities using just one command. The platform is built using Python 3.11+, FastAPI for the backend, and React 19 for the frontend. Key features include a Shadow Account for rule extraction and code generation, support for multiple message adapters, and a Web UI for easy management. The platform also has a strong focus on security, with features like OAuth and API keys for secure authentication. To get started, users can simply run pip install vibe-trading-ai and follow the Quick Start guide. The platform is suitable for both beginners and experienced traders, with a wide range of features and tools available. One of the most interesting aspects of Vibe-Trading is its ability to attach the same agent session runtime to 16 built-in message adapters, allowing for seamless communication and integration with various platforms. Vibe-Trading is an open-source project, with a community-driven approach to development and a strong focus on collaboration. Overall, Vibe-Trading is a powerful and flexible trading platform that can help users take their trading to the next level. With Vibe-Trading, you can trade smarter, not harder! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet usestrix/strix: a gem from today's GitHub trending list. 🔗 https://github.com/usestrix/strix 📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities. ────────────────────────────── Introducing Strix, the open-source AI pentesting tool that acts like a real hacker to find and fix your app's vulnerabilities. With autonomous AI agents that collaborate and scale, Strix offers a full pentesting toolkit for reconnaissance, exploitation, and validation. Its key features include multi-agent orchestration, real exploit validation, and a developer-first CLI for actionable findings and remediation guidance. Strix is designed for developers and security teams who need fast and accurate security testing without the overhead of manual pentesting or false positives from static analysis tools. It supports various use cases, including application security testing, rapid penetration testing, bug bounty automation, and CI/CD integration. To get started with Strix, you'll need Docker and an LLM API key from a supported provider. You can then install Strix using a simple script and run your first security assessment with a few commands. Strix also offers a cloud-based platform with features like validated findings, one-click autofix, and continuous pentesting. Its technical highlights include a comprehensive offensive security toolkit, multi-agent orchestration, and a custom exploit runtime. Whether you're a developer, security engineer, or pentester, Strix is a powerful tool for identifying and fixing vulnerabilities in your applications. So why wait? Join the Strix community today and start securing your apps like a pro! Strix: Autonomous AI pentesting that finds vulnerabilities before hackers do. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: msitarzewski/agency-agents — let's break it down. 🔗 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. ────────────────────────────── Welcome to The Agency, a collection of AI agent personalities that can transform your workflow. The Agency is a growing roster of specialized experts, each with a unique personality, communication style, and approach. 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 scripts to install agents or reference them manually. The Agency includes divisions such as Engineering and Design, with agents like Frontend Developer, UI Designer, and AI Engineer. These agents are production-ready and can help you with tasks like building modern web apps, designing interfaces, and deploying machine learning models. The Agency is open-source and community-driven, with a MIT license and a welcoming community that encourages contributions and feedback. Join The Agency today and start building your dream team of AI specialists! With The Agency, you can assemble your dream team, except they're AI specialists who never sleep, never complain, and always deliver. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into Robbyant/lingbot-map — fresh off the trending list. 🔗 https://github.com/Robbyant/lingbot-map 📝 A feed-forward 3D foundation model for reconstructing scenes from streaming data ────────────────────────────── Meet LingBot-Map, a cutting-edge 3D foundation model for streaming 3D reconstruction. This innovative model focuses on geometric context transformer architecture, which unifies coordinate grounding, dense geometric cues, and long-range drift correction. It achieves high-efficiency streaming inference with a feed-forward architecture and paged KV cache attention, enabling stable inference at ~20 FPS. LingBot-Map boasts state-of-the-art reconstruction performance on diverse benchmarks, outperforming existing streaming and iterative optimization-based approaches. To get started, create a conda environment, install PyTorch and the lingbot-map package, and download the model from HuggingFace or ModelScope. You can then run the interactive demo.py for 3D visualization or use the offline rendering pipeline for long-sequence batch rendering. LingBot-Map is perfect for researchers, developers, and enthusiasts in the field of computer vision and 3D reconstruction. With its easy-to-use interface and extensive documentation, you can easily integrate this model into your projects. In a nutshell, LingBot-Map is a game-changer for 3D reconstruction - streamline your workflow and unlock new possibilities with this powerful tool! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 obra/superpowers just hit the trending charts — here's why it matters. 🔗 https://github.com/obra/superpowers 📝 An agentic skills framework & software development methodology that works. ────────────────────────────── Superpowers is a software development methodology that empowers coding agents with a set of composable skills, streamlining the development process. Its key features include brainstorming, test-driven development, and subagent-driven development, which enable agents to work autonomously for extended periods. To use Superpowers, simply install it as a plugin for your preferred coding agent, such as Claude Code, Antigravity, or Codex App. The installation process varies depending on the agent, but detailed instructions are provided in the README. From a technical standpoint, Superpowers utilizes a skills library that includes testing, debugging, collaboration, and meta skills. The skills are designed to be agent-agnostic, allowing for seamless integration with various coding agents. Superpowers is designed for developers and teams looking to enhance their coding agents' capabilities. Whether you're working on a personal project or an enterprise-level application, Superpowers can help you streamline your development process. In summary, Superpowers is a powerful tool that can revolutionize the way you develop software with coding agents. With its robust features, ease of use, and agent-agnostic design, Superpowers is an essential addition to any development workflow. The future of coding is here: agents just got a whole lot smarter. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into HKUDS/Vibe-Trading — fresh off the trending list. 🔗 https://github.com/HKUDS/Vibe-Trading 📝 "Vibe-Trading: Your Personal Trading Agent" ────────────────────────────── Vibe-Trading is a personal trading agent that empowers you with comprehensive trading capabilities. It's built with Python 3.11+, FastAPI for the backend, and React 19 for the frontend. This project is available on PyPI and licensed under MIT. The key features of Vibe-Trading include a Shadow Account for rule extraction and code generation, a Research Autopilot loop for hypothesis-driven trading, and layered attribution for backtest analysis. It also supports multiple message adapters like Telegram, Slack, and Discord for seamless communication. Vibe-Trading is designed for traders, researchers, and developers who want to automate their trading strategies and backtest their ideas. With its extensive documentation and active community, it's easy to get started and stay up-to-date with the latest developments. In short, Vibe-Trading is your one-stop solution for automated trading, and with its cutting-edge features, it's set to revolutionize the trading landscape - Automate your trades, elevate your portfolio! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: facebook/astryx — let's break it down. 🔗 https://github.com/facebook/astryx 📝 An open source design system that's fully customizable and agent ready ────────────────────────────── Astryx is an open-source design system built on React and StyleX, providing a fully customizable and accessible solution for building cohesive interfaces. It ships with 150+ components, brand-level theming, and a CLI, making it easy to get started. The key features of Astryx include open internals, no styling lock-in, and customization without wrapping. To get started, you can install Astryx using npm, pnpm, or yarn, and then use the CLI to access component documentation, templates, and themes. Astryx is designed for both humans and AI assistants, with a focus on guidance over enforcement, strong conventions, and a single system for all builders. Astryx is perfect for developers, designers, and product teams looking for a robust and customizable design system. One-liner takeaway: With Astryx, you can build cohesive and accessible interfaces with ease, and make your design unmistakably yours! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe