Github Top Repositories

⚡ microsoft/PowerToys is making waves. Here's the full picture. 🔗 https://github.com/microsoft/PowerToys 📝 Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows ────────────────────────────── The Microsoft PowerToys GitHub repository is a collection of utilities designed to help users customize and streamline their Windows experience. With over 30 utilities included, such as Advanced Paste, Always on Top, and Color Picker, users can optimize their workflow and productivity. To get started, users can install PowerToys via exe file from GitHub, Microsoft Store, or WinGet. The project welcomes contributions of all types, from coding features to documentation and bug fixes. The team is committed to building a set of tools that help users get the most out of Windows, with a strong focus on community involvement and feedback. The project's roadmap includes new features and improvements, such as a brand-new Shortcut Guide experience. With its active community and ongoing development, PowerToys is an exciting project that can help users take their Windows experience to the next level. Get ready to supercharge your Windows experience with PowerToys! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ LMCache/LMCache is making waves. Here's the full picture. 🔗 https://github.com/LMCache/LMCache 📝 LMCache: Supercharge Your LLM with the Fastest KV Cache Layer ────────────────────────────── The LMCache library is designed to optimize the performance of large language models (LLMs) by caching frequently accessed data. The key features of LMCache include shared prefix KV caching and support for multiple vLLM instances. To get started, you can install the library using pip install -e . and then follow the quickstart guide, which includes pulling docker images, starting the vLLM engine, and running demo applications. The library is particularly useful for applications that require fast response times and low latency. The target audience for LMCache includes developers and researchers working with LLMs, especially those who need to optimize model performance and reduce response delays. With LMCache, you can drastically reduce the time it takes to respond to user queries. In short, LMCache helps you speed up your LLMs - and that's a huge deal for anyone working with large language models! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet kenn-io/agentsview: a gem from today's GitHub trending list. 🔗 https://github.com/kenn-io/agentsview 📝 Local-first session intelligence and analytics for coding agents, supporting Claude Code, Codex, and more than 20 other agents. Also: 100x faster replacement for ccusage! ────────────────────────────── Agentsview is a self-hosted, open-source tool for tracking and analyzing AI coding agent sessions. It allows you to browse, search, and track costs across all your agents in one place. The project provides a single binary with no account requirements, and all data is stored locally. To get started, you can install agentsview using a simple installation script or by downloading the desktop app from GitHub Releases. The project also supports Docker for easy deployment and provides a docker-compose example for production environments. Once installed, agentsview can be used to track token usage and costs for each agent, with features like automatic pricing, prompt-caching-aware cost calculation, and per-model breakdowns. The tool also provides a web UI for browsing and searching sessions, with features like full-text search, token usage and cost dashboards, and analytics heatmaps. Agentsview supports a wide range of coding agents, including Claude Code, Codex, Copilot CLI, and many more. The project is designed for developers and teams who want to track and optimize their AI coding workflows. In summary, agentsview is a powerful tool for tracking and analyzing AI coding agent sessions, and its local, self-hosted design makes it a great choice for teams and individuals who value data privacy and security. So, take control of your AI coding workflow with agentsview - one agent to rule them all. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into music-assistant/server — fresh off the trending list. 🔗 https://github.com/music-assistant/server 📝 Music Assistant is a free, opensource Media library manager that connects to your streaming services and a wide range of connected speakers. The server is the beating heart, the core of Music Assistant and must run on an always-on device like a Raspberry Pi, a NAS or an Intel NUC or alike. ────────────────────────────── The Music Assistant Server is an open-source media library manager that connects your streaming services and speakers. It's the core of Music Assistant and should run on an always-on device. The server is designed to work with Home Assistant and is tailored for automation. To get started, you can run the server as a Home Assistant Add-on or use a Docker container. For more information, visit the Music Assistant documentation at https://music-assistant.io. With its robust features and community support, Music Assistant is a powerful tool for managing your media library - and the best part is, it's free and open-source, so you can customize it to fit your needs, and that's a harmonious thing! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 apple/container just hit the trending charts — here's why it matters. 🔗 https://github.com/apple/container 📝 A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon. ────────────────────────────── Containerization on Mac just got easier with the apple/container tool. This Swift-based tool lets you create and run Linux containers as lightweight virtual machines on your Mac, leveraging Apple silicon. It supports OCI-compatible container images, allowing you to pull and run images from standard container registries. To get started, you'll need a Mac with Apple silicon and macOS 26. Simply download the latest installer package, follow the installation instructions, and start the system service using container system start. The tool offers features like container system stop to stop the existing service, and update-container.sh for upgrades or downgrades. You can also uninstall the tool using uninstall-container.sh. The project is under active development, with a contributing guide available for those who want to get involved. Takeaway: Container brings lightweight Linux virtualization to your Mac, making development easier - give it a try and container system start your journey today! ────────────────────────────── 🧠 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 complete software development methodology for coding agents, built on top of composable skills and initial instructions. It's designed to help your agent use its skills effectively by starting with a conversation to understand what you're trying to achieve. The agent then breaks down the implementation into manageable tasks, emphasizing test-driven development, systematic debugging, and collaboration. To use Superpowers, you can install it via various coding agent marketplaces, such as Claude Code, Codex CLI, or Codex App. The installation process differs depending on the harness you use. From a technical perspective, Superpowers relies on a skills library that includes testing, debugging, collaboration, and meta skills. These skills are designed to work across multiple coding agents, ensuring a consistent development experience. The target audience for Superpowers includes developers who want to streamline their coding workflow, improve collaboration, and reduce complexity. In a nutshell, Superpowers is all about empowering your coding agent to work smarter, not harder - automate your workflow and let your agent do the heavy lifting. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into chatwoot/chatwoot — fresh off the trending list. 🔗 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 helps businesses deliver exceptional support experiences. With omnichannel support, it centralizes conversations from various channels into one inbox. The platform features a built-in help center portal for publishing articles and guides, as well as Captain, an AI agent that automates responses and reduces agent workload. Key features include: - Collaboration tools like private notes and @mentions - Customizable views and filters for better organization - Integrations with Slack, Dialogflow, and more - Reports and insights for operational visibility and customer satisfaction measurement Technical highlights:

Deployment options include Heroku, DigitalOcean, and more

The platform is built for scale and flexibility, giving businesses full control over their customer data. Audience: Customer support teams and businesses looking for an open-source alternative to Intercom, Zendesk, and Salesforce Service Cloud. One-liner takeaway: Transform your customer support with Chatwoot's powerful, open-source platform and take your business to the next level. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 iptv-org/iptv is trending — and it deserves your attention. 🔗 https://github.com/iptv-org/iptv 📝 Collection of publicly available IPTV channels from all over the world ────────────────────────────── The iptv-org/iptv repository is a collection of publicly available IPTV channels from around the world. Its main purpose is to provide a centralized location for accessing live streaming channels. Key features include a main playlist containing all available channels, links to other playlists, and Electronic Program Guide (EPG) data for most channels. To use the repository, simply paste the link to a playlist into a video player that supports live streaming. The repository is technically built using a combination of data from the iptv-org/database repository and utilities from the iptv-org/epg repository. It's perfect for anyone looking for a free and open-source way to access live TV channels. This project is all about community-driven media - Empowering users, one stream at a time! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ addyosmani/agent-skills is making waves. Here's the full picture. 🔗 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 cover the entire development lifecycle, from defining what to build to shipping the final product. These skills are packaged as workflows with steps, verification gates, and anti-rationalization tables, allowing AI agents to follow best practices consistently. The repository includes seven slash commands that map to different stages of the development lifecycle, such as /spec, /plan, /build, /test, /review, /code-simplify, and /ship. Additionally, it includes a /build auto command that generates a plan and implements every task in a single approved pass. To get started, users can install the repository as a plugin for various platforms, including Claude Code, Cursor, Antigravity CLI, Gemini CLI, Windsurf, OpenCode, and GitHub Copilot. The repository also includes detailed documentation and setup instructions for each platform. The skills in the repository are designed to be used by AI agents, but they can also be used by human developers as a reference for best practices. The repository includes skills for various aspects of software development, including frontend UI engineering, API and interface design, test-driven development, and security and hardening. Overall, the Agent Skills repository provides a comprehensive set of skills for AI coding agents to follow best practices and produce high-quality software. With its easy-to-use commands and detailed documentation, it's an essential tool for any developer looking to improve their workflow. One-liner takeaway: Agent Skills helps you build better software faster by providing a set of production-grade engineering skills for AI coding agents. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 bannedbook/fanqiang landed on trending. Worth a proper look. 🔗 https://github.com/bannedbook/fanqiang 📝 翻墙-科学上网 ────────────────────────────── The bannedbook/fanqiang GitHub repository is a comprehensive collection of tools and tutorials for scientific internet access, also known as fanqiang, which translates to scaling the wall in English. This repository provides various solutions for users to access the internet freely, including Chrome one-click packages, Android apps, and Mac software. The repository covers a wide range of topics, such as Windows V2ray/SS/SSR tutorials, iPhone/iPad/iOS V2ray/SS tutorials, and game console tutorials. The Chrome one-click package is a notable feature, which integrates multiple fanqiang tools, including Goflyway, v2ray, and SSR, with built-in free servers. The repository also provides usage guidelines and troubleshooting tips for users. Overall, the bannedbook/fanqiang repository is a valuable resource for users seeking to access the internet freely and securely. With its comprehensive collection of tools and tutorials, it is an essential toolkit for anyone looking to scale the wall. So, ready to scale the wall and access the internet freely? ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🚀 Meet mattermost/mattermost: a gem from today's GitHub trending list. 🔗 https://github.com/mattermost/mattermost 📝 Mattermost is an open source platform for secure collaboration across the entire software development lifecycle.. ────────────────────────────── Mattermost is a self-hosted collaboration platform that offers chat, workflow automation, voice calling, screen sharing, and AI integration. It's written in Go and React, and runs as a single Linux binary, relying on PostgreSQL. You can deploy Mattermost on-premises or try it for free in the cloud. Key features include a web interface, native mobile and desktop apps, and security bulletins for critical updates. Mattermost is ideal for DevSecOps, Incident Resolution, and IT Service Desk teams. To get started, you can download and install Mattermost, or get involved in the community by contributing code or joining discussions. The project is open core, with a new compiled version released every month under an MIT license. One-liner takeaway: Mattermost is a powerful collaboration platform that helps teams work together more efficiently, and it's free to try! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into hexo-ai/sia — fresh off the trending list. 🔗 https://github.com/hexo-ai/sia 📝 SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task. ────────────────────────────── SIA: Self-Improving AI is a framework designed to autonomously improve the performance of any AI system on a benchmark task. The hexo-ai/sia GitHub repository provides the official implementation of SIA, as described in the research paper "SIA: Self Improving AI with Harness & Weight Updates". This framework operates by coordinating three main types of AI agents: the Meta-Agent, Target Agent, and Feedback Agent, which work together to continuously improve task performance. To use SIA, you can install it using pip and run it locally with built-in tasks. The repository includes four built-in tasks: gpqa, lawbench, longcot-chess, and spaceship-titanic. You can also bring your own task by preparing a task directory with the required layout and pointing --task_dir at it. The SIA framework is designed to be flexible and customizable, with features such as agent profiles that allow you to configure the agent's behavior and evaluator that scores the target agent's performance. The repository includes a range of resources, including documentation, example code, and a web dashboard for visualizing runs. SIA has achieved impressive results, including a 56.6% gain on LawBench, 91.9% runtime reduction on GPU kernels, and 502% improvement on single-cell RNA denoising over the baseline. With its modular design and customizable components, SIA has the potential to be applied to a wide range of tasks and domains. In summary, SIA is a powerful framework for self-improving AI that can be used to improve the performance of any AI system on a benchmark task. Try SIA today and unlock the full potential of your AI systems! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe