Github Top Repositories

🌟 n0-computer/iroh caught my eye on GitHub Trending today. 🔗 https://github.com/n0-computer/iroh 📝 IP addresses break, dial keys instead. Modular networking stack in Rust. ────────────────────────────── Iroh is a project that provides an API for dialing by public key, allowing for fast and secure connections between endpoints. The key features of iroh include hole-punching, which enables direct connections between peers, and a fallback to public relay servers if needed. Iroh is built on top of QUIC and provides features like authenticated encryption, concurrent streams, and datagram transport. To get started with iroh, you can use the Rust library by installing it with cargo add iroh and then use the provided examples to establish connections. There are also pre-existing protocols like iroh-blobs and iroh-gossip that can be used. For other languages, you can use the iroh-ffi repository for FFI bindings. The project is licensed under Apache License, Version 2.0, and MIT license, and contributions are welcome. The iroh project is designed to be flexible and scalable, making it suitable for a wide range of use cases. The takeaway: Iroh makes networking easier and more secure, one connection at a time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet google-research/timesfm: a gem from today's GitHub trending list. 🔗 https://github.com/google-research/timesfm 📝 TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. ────────────────────────────── TimesFM is a pre-trained time-series foundation model developed by Google Research for time-series forecasting. The key features include support for up to 16k context length, continuous quantile forecast, and optional covariate support via XReg. Usage is straightforward, with installation options from PyPI or local install, and examples provided for both torch and flax backends. The timesfm package provides a simple interface for forecasting, as shown in the example code:

model = timesfm.TimesFM_2p5_200M_torch.from_pretrained("google/timesfm-2.5-200m-pytorch")
point_forecast, quantile_forecast = model.forecast(
    horizon=12,
    inputs=[
        np.linspace(0, 1, 100),
        np.sin(np.linspace(0, 20, 67)),
    ],  
)

Audience includes data scientists, researchers, and developers working with time-series data, particularly those interested in scalability and reliability. The model is also integrated with Google 1P products like BigQuery ML, Google Sheets, and Vertex Model Garden. Takeaway: With TimesFM, you can easily forecast your time-series data with state-of-the-art performance and scalability. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: makeplane/plane — let's break it down. 🔗 https://github.com/makeplane/plane 📝 🔥🔥🔥 Open-source Jira, Linear, Monday, and ClickUp alternative. Plane is a modern project management platform to manage tasks, sprints, docs, and triage. ────────────────────────────── Meet Plane, a modern open-source project management tool designed to help teams track issues, run cycles, and manage product roadmaps without the chaos of managing the tool itself. Key features include work items, cycles, modules, views, pages, and analytics to simplify complex projects and provide real-time insights. To get started, you can either sign up for a free account on Plane Cloud or self-host Plane on your own servers using methods like Docker or Kubernetes. The tool is built with technologies like React Router, Django, and Node JS. Plane's target audience includes any team looking for a flexible and customizable project management solution. The project is constantly evolving, with a strong focus on community involvement and contributions. Whether you're a developer, a product manager, or simply a team lead, Plane is worth exploring. So why not give it a try and see how it can help your team streamline its workflow and achieve its goals? Takeaway: With its flexibility, customizability, and strong community support, Plane is an excellent choice for teams seeking a modern project management solution. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 alexzhang13/rlm just hit the trending charts — here's why it matters. 🔗 https://github.com/alexzhang13/rlm 📝 General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes. ────────────────────────────── The Recursive Language Models (RLMs) GitHub repository provides an extensible inference engine and training environment for using RLMs with standard API-based and local language models. The key feature of RLMs is their ability to handle near-infinite length contexts by enabling the language model to programmatically examine, decompose, and recursively call itself over its input. To use RLMs, you can install the rlms package from PyPi or set up the dependencies manually. The default RLM client uses a REPL environment that runs on the host process through Python exec calls. You can also use other REPL environments, such as IPython, Docker, or cloud-based sandboxes like Modal Sandboxes or Prime Intellect Sandboxes. The repository includes a simple RL training harness for training RLMs, which uses subprocess-isolated local REPL execution. You can train your own RLMs and plug them into the inference engine. RLMs have many potential applications, and the repository provides a list of notable examples that explicitly use RLMs as a central piece of their design. Takeaway: RLMs are a powerful tool for building flexible and scalable language models, and this repository provides a comprehensive framework for using and training them. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into calesthio/OpenMontage — fresh off the trending list. 🔗 https://github.com/calesthio/OpenMontage 📝 World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio. ────────────────────────────── Welcome to OpenMontage, the first open-source, agentic video production system. This innovative tool allows you to create stunning videos by simply describing what you want in plain language. The agent handles research, scripting, asset generation, editing, and final composition. With OpenMontage, you can produce high-quality videos without extensive video production experience. The system can work with various AI coding assistants, such as Claude Code, Cursor, Copilot, Windsurf, or Codex. The key features of OpenMontage include: * Starting from a reference video or a blank prompt * Generating AI images, writing and narrating scripts, and finding royalty-free background music * Burning in word-level subtitles and rendering the final video * Supporting multiple pipelines, including image-based video and local character animation To get started, you'll need to install Python 3.10+, FFmpeg, and Node.js 18+. You can then clone the OpenMontage repository, run make setup, and start creating your videos. OpenMontage is suitable for various users, including video creators, marketers, educators, and anyone looking to produce high-quality videos without extensive production experience. In summary, OpenMontage is a powerful tool that simplifies video production, making it accessible to everyone. With its agentic approach, you can create stunning videos by just describing your ideas, and the system will handle the rest. Unlock your creativity with OpenMontage and discover a new way of making videos. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 chatwoot/chatwoot landed on trending. Worth a proper look. 🔗 https://github.com/chatwoot/chatwoot 📝 Open-source live-chat, email support, omni-channel desk. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬 ────────────────────────────── Chatwoot is an open-source customer support platform that's an alternative to Intercom, Zendesk, and Salesforce Service Cloud. It's designed to help businesses deliver exceptional customer support experiences. With Chatwoot, you get a self-hosted platform that provides full control over your customer data and powerful tools to manage conversations across channels. Some of the key features include: - Captain, an AI agent that automates responses and reduces agent workload - Omnichannel Support Desk to centralize customer conversations - Help Center Portal to publish help articles and reduce repetitive queries - Collaboration and productivity tools like private notes, labels, and canned responses - Integrations with Slack, Dialogflow, Shopify, and more The platform is highly customizable, with support for multiple languages, custom views, and filters. It also provides detailed reports and insights, including conversation, agent, and CSAT reports. Chatwoot is ideal for businesses of all sizes, from small startups to large enterprises, looking for a flexible and scalable customer support solution. With its open-source nature, Chatwoot has a strong community of contributors and users who can provide support and guidance. So why choose Chatwoot? It's simple: take control of your customer support experience with an open-source platform that's customizable, scalable, and community-driven. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 nautechsystems/nautilus_trader landed on trending. Worth a proper look. 🔗 https://github.com/nautechsystems/nautilus_trader 📝 Production-grade Rust-native trading engine with deterministic event-driven architecture ────────────────────────────── NautilusTrader is an open-source, production-grade trading engine built with Rust, providing a deterministic event-driven runtime for both research and live execution. It features a modular design with Python serving as the control plane for strategy logic, configuration, and orchestration. The engine is asset-class-agnostic and supports multiple venues and instruments, including crypto exchanges, traditional markets, and betting exchanges. Key features include fast and reliable execution, portable deployment on Linux, macOS, and Windows, and customizable components for user-defined systems. The engine also supports backtesting with historical data and live execution with identical strategy implementations. NautilusTrader is suitable for professional traders, researchers, and institutions looking for a robust and flexible trading engine. With its advanced features and modular design, it provides a solid foundation for building high-performance trading systems. In short, NautilusTrader is the ultimate trading engine for those who demand speed, reliability, and flexibility - take your trading to the next level with NautilusTrader. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into bytedance/UI-TARS-desktop — fresh off the trending list. 🔗 https://github.com/bytedance/UI-TARS-desktop 📝 The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra ────────────────────────────── The UI-TARS-desktop repository is part of the TARS project, a Multimodal AI Agent stack. It provides a desktop application for a native GUI Agent based on the UI-TARS model. The application offers local and remote computer operators, as well as browser operators. The Agent TARS is a general multimodal AI Agent stack that brings the power of GUI Agent and Vision into your terminal, computer, browser, and product. It ships with a CLI and Web UI for usage. The key features of Agent TARS include a one-click out-of-the-box CLI, hybrid browser agent, event stream, and MCP integration. To use Agent TARS, you can launch it with npx @agent-tars/cli@latest or install it globally with npm install @agent-tars/cli@latest -g. UI-TARS-desktop is ideal for developers and users looking to leverage the power of multimodal AI agents. One-liner takeaway: Experience the future of AI interaction with TARS, where human-like task completion meets seamless integration with real-world tools. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 yairm210/Unciv landed on trending. Worth a proper look. 🔗 https://github.com/yairm210/Unciv 📝 Open-source Android/Desktop remake of Civ V ────────────────────────────── Unciv is an open-source, moddable Android and Desktop remake of Civilization V, built with LibGDX. This project focuses on being small, fast, and free, making it accessible to a wide range of devices. Key features include moddability, multi-platform support, and a strong community. To get started, you can install Unciv from various sources such as Google Play, F-Droid, itch.io, or build it from scratch. The project has a clear roadmap, with current priorities on polishing the game, adding Gods & Kings mechanics, and improving AI. Programmers, translators, and modders are welcome to contribute to the project. Unciv is not meant to be a replacement for the original Civilization V, but rather a free, open-source alternative that can run on lower-end devices. One-liner takeaway: Unciv is the perfect choice for fans of Civilization V looking for a free, moddable, and accessible alternative that can run on almost any device. ────────────────────────────── 🧠 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. ────────────────────────────── The mattpocock/skills GitHub repository offers a collection of skills designed to improve the development process with coding agents. These skills are small, easy to adapt, and composable, allowing developers to work more efficiently. The repository includes a range of skills, such as /grill-me and /grill-with-docs, that help align developers with the agent and ensure a shared understanding of the project. To get started, simply run the skills.sh installer and follow the prompts to set up the skills. The skills are divided into categories, including engineering and productivity, and can be invoked by the user or the agent. The repository also includes a setup-matt-pocock-skills skill to configure the repository for the engineering skills. The skills in this repository are designed to address common problems in software development, such as misalignment between the developer and the agent, verbosity, and poor code quality. By using these skills, developers can improve the design of their code and reduce software entropy. In short, the mattpocock/skills repository provides a set of powerful tools to help developers work more efficiently and effectively with coding agents. Take control of your development process and try these skills out - your codebase will thank you! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet Universal-Debloater-Alliance/universal-android-debloater-next-generation: a gem from today's GitHub trending list. 🔗 https://github.com/Universal-Debloater-Alliance/universal-android-debloater-next-generation 📝 Cross-platform GUI written in Rust using ADB to debloat non-rooted Android devices. Improve your privacy, the security and battery life of your device. ────────────────────────────── The Universal Android Debloater Next Generation is a powerful tool designed to improve your Android device's privacy and efficiency by removing unnecessary system apps, thus reducing the attack surface and enhancing overall security. This project is a fork of the original Universal Android Debloater and offers a range of key features, including a comprehensive list of apps to debloat, a user-friendly interface, and regular updates. To get started, users can refer to the wiki which provides a getting started guide, usage guide, and information on building from source. From a technical standpoint, the project is built using the Iced GUI library and is designed to be privacy-focused, with no collection or transmission of user data. The only external connections are GET requests to GitHub for fetching the package list and checking for updates. The project is suitable for advanced Android users looking to optimize their devices, as well as developers interested in contributing to the project. The community is active, with a Discord guild and Matrix bridge available for real-time communication and support. Other projects, such as Canta and AppManager, integrate with or depend on UAD-ng's data and tools, making it a valuable resource for the Android community. In a nutshell, the Universal Android Debloater Next Generation is a game-changer for Android users seeking to reclaim control over their devices - debloat, declutter, and dominate your digital space. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet krahets/hello-algo: a gem from today's GitHub trending list. 🔗 https://github.com/krahets/hello-algo 📝 《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现 ────────────────────────────── Hello Algo is an open-source, free, and beginner-friendly data structure and algorithm tutorial. Its purpose is to provide an easy-to-understand and smooth learning curve for newcomers. The key feature of this project is its use of animated illustrations and one-click runnable code to help readers learn by practicing and exploring the underlying implementation of data structures and algorithms. To get started, you can read it online or download the PDF or EPUB version. The project supports multiple programming languages, including Python, Java, C++, JavaScript, and many more. From a technical standpoint, Hello Algo uses a variety of tools and technologies to create an engaging learning experience. The project is ideal for beginners, students, and anyone looking to improve their understanding of data structures and algorithms. In terms of contributing to the project, there are several ways to get involved, including content correction, code translation, and translation review. The project is licensed under CC BY-NC-SA 4.0, which allows for non-commercial use, sharing, and adaptation. Overall, Hello Algo is a valuable resource for anyone looking to learn data structures and algorithms in a fun and interactive way. So, what are you waiting for? Dive into the world of algorithms and start coding with Hello Algo today - and remember, learning to code is just a click away! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 penpot/penpot just hit the trending charts — here's why it matters. 🔗 https://github.com/penpot/penpot 📝 Penpot: The open-source design tool for design and code collaboration ────────────────────────────── Penpot is an open-source design platform for teams that build digital products at scale, giving them full ownership of their design infrastructure. It's built on open source, supports self-hosting, and works with open standards like SVG, CSS, HTML, and JSON. Key features include real-time collaboration, design tokens for consistency, and a powerful open API for automation and integrations. The platform is designed for developers, with features like inspect mode and support for webhooks. Penpot offers a full-stack design platform for building scalable design systems and integrated product development processes. It's perfect for teams that need security, flexibility, and ownership without vendor lock-in. To get started, you can use Penpot in the cloud or deploy it on your own servers. The community is active, with many resources available, including tutorials, documentation, and a contributing guide. Penpot is licensed under the Mozilla Public License, v. 2.0. Takeaway: Penpot is the ultimate open-source design platform that puts teams in control of their design infrastructure, and that's a game-changer! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe