Github Top Repositories
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🚀 Meet HKUDS/CLI-Anything: a gem from today's GitHub trending list.
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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CLI-Anything is an innovative project that bridges the gap between AI agents and the world's software by making any software agent-ready. The project's primary goal is to create a community-driven hub where users can browse, install, and manage various Command-Line Interfaces (CLIs) for different software applications.
Key Features:
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Technical Highlights:
- Built using Python and Click.
- Uses Pytest for testing and coverage.
- Supports multiple output formats, including JSON and human-readable text.
The project is suitable for developers, researchers, and power users who want to automate tasks, integrate different software applications, or create custom workflows. With CLI-Anything, users can harness the power of AI agents to interact with a wide range of software applications, from productivity tools to creative software.
In a nutshell, CLI-Anything is revolutionizing the way we interact with software by providing a unified, community-driven platform for creating and sharing CLIs - Empowering humans and agents to achieve more, one command line at a time!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
──────────────────────────────
CLI-Anything is an innovative project that bridges the gap between AI agents and the world's software by making any software agent-ready. The project's primary goal is to create a community-driven hub where users can browse, install, and manage various Command-Line Interfaces (CLIs) for different software applications.
Key Features:
-
CLI-Hub: A centralized registry where users can discover, install, and manage CLIs for various software applications.-
One Command Line: A unified interface for interacting with different software applications.-
Community-Driven: Users can contribute to the project by creating and sharing their own CLIs.Technical Highlights:
- Built using Python and Click.
- Uses Pytest for testing and coverage.
- Supports multiple output formats, including JSON and human-readable text.
The project is suitable for developers, researchers, and power users who want to automate tasks, integrate different software applications, or create custom workflows. With CLI-Anything, users can harness the power of AI agents to interact with a wide range of software applications, from productivity tools to creative software.
In a nutshell, CLI-Anything is revolutionizing the way we interact with software by providing a unified, community-driven platform for creating and sharing CLIs - Empowering humans and agents to achieve more, one command line at a time!
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🎯 citrolabs/ego-lite landed on trending. Worth a proper look.
🔗 https://github.com/citrolabs/ego-lite
📝 The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config.
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Introducing ego lite, a browser designed for parallel work between humans and AI agents. It allows agents to run multiple browser tasks in isolated Spaces, increasing task completion speed and reducing token usage.
Key features include a dedicated Space for each agent, multitasking capabilities, and high-quality page snapshots. The
To get started, simply download and install the ego lite app, add the
Technical highlights include a code base approach for faster runs, a dedicated Space for each agent, and the strongest page snapshot on the market.
The target audience is developers and users of AI agents looking for a more efficient and parallel browsing experience.
In summary: ego lite is a game-changer for AI-powered browser automation - it's the browser that lets you work alongside your AI agents, not against them.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/citrolabs/ego-lite
📝 The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config.
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Introducing ego lite, a browser designed for parallel work between humans and AI agents. It allows agents to run multiple browser tasks in isolated Spaces, increasing task completion speed and reducing token usage.
Key features include a dedicated Space for each agent, multitasking capabilities, and high-quality page snapshots. The
ego-browser skill enables any agent to drive the browser, exposing it as a set of in-page JavaScript tools.To get started, simply download and install the ego lite app, add the
ego-browser skill, or let your agent set it up. Then, run your first task using the /ego-browser command.Technical highlights include a code base approach for faster runs, a dedicated Space for each agent, and the strongest page snapshot on the market.
The target audience is developers and users of AI agents looking for a more efficient and parallel browsing experience.
In summary: ego lite is a game-changer for AI-powered browser automation - it's the browser that lets you work alongside your AI agents, not against them.
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🧠 Channel: https://t.me/GithubRe
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🔥 cordiverse/cordis is trending — and it deserves your attention.
🔗 https://github.com/cordiverse/cordis
📝 Meta-Framework of Spatiotemporal Composability
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The Cordis repository on GitHub is an open-source project that focuses on data science and machine learning applications. The purpose of Cordis is to provide a framework for building and deploying scalable data pipelines.
Key features of Cordis include modular design, flexible configuration options, and support for various data sources.
To use Cordis, users can
From a technical perspective, Cordis is built using modern JavaScript and TypeScript, and it leverages popular data science libraries.
Cordis is designed for data scientists and engineers who want to streamline their data workflows.
In a nutshell, Cordis simplifies data science: Build once, deploy anywhere - that's the power of Cordis.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/cordiverse/cordis
📝 Meta-Framework of Spatiotemporal Composability
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The Cordis repository on GitHub is an open-source project that focuses on data science and machine learning applications. The purpose of Cordis is to provide a framework for building and deploying scalable data pipelines.
Key features of Cordis include modular design, flexible configuration options, and support for various data sources.
To use Cordis, users can
import the necessary modules and define their data pipelines using a simple and intuitive API. From a technical perspective, Cordis is built using modern JavaScript and TypeScript, and it leverages popular data science libraries.
Cordis is designed for data scientists and engineers who want to streamline their data workflows.
In a nutshell, Cordis simplifies data science: Build once, deploy anywhere - that's the power of Cordis.
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🧠 Channel: https://t.me/GithubRe
🔍 Deep-diving into basecamp/omarchy — fresh off the trending list.
🔗 https://github.com/basecamp/omarchy
📝 Beautiful, Modern & Opinionated Linux
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Check out Omarchy, a sleek Linux distribution from Basecamp and created by DHH. It's designed to be modern and opinionated, making it a unique offering in the Linux world. To learn more, head over to
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/basecamp/omarchy
📝 Beautiful, Modern & Opinionated Linux
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Check out Omarchy, a sleek Linux distribution from Basecamp and created by DHH. It's designed to be modern and opinionated, making it a unique offering in the Linux world. To learn more, head over to
omarchy.org. Omarchy is released under the MIT License, making it accessible to everyone. Whether you're a seasoned developer or just starting out, Omarchy is worth exploring. With its beautiful design and modern approach, it's perfect for those looking for a fresh take on Linux. One thing is for sure: Omarchy is a game-changer, and you should try it out - Omarchy is the Linux distribution that will make you wonder how you ever lived without it!──────────────────────────────
🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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⚡ unslothai/unsloth is making waves. Here's the full picture.
🔗 https://github.com/unslothai/unsloth
📝 Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
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Unsloth is a revolutionary desktop app that allows you to run, train, and deploy AI models locally. With support for various types of models, including LLMs, diffusion, embedding, and audio models, Unsloth provides a comprehensive platform for AI development.
Key Features:
Unsloth offers a range of features, including running and training models, fine-tuning, and deploying models with support for multiple hardware configurations, including CPU, NVIDIA, AMD, and Intel. It also provides remote access to your local models through secure Cloudflare HTTPS.
To get started with Unsloth, you can download the native desktop app for your operating system or install it manually using the provided installation scripts. Unsloth can be used in three ways: Unsloth Desktop, Unsloth Studio (web UI), and Unsloth Core (code-based version).
Technical Highlights:
Unsloth supports various backends, including PyTorch, MLX, and GGUF, allowing for flexible model deployment. It also provides tools like Claude Code, Codex, and MCP for local model usage.
Audience:
Unsloth is designed for developers, researchers, and AI enthusiasts who want to run, train, and deploy AI models locally. With its user-friendly interface and comprehensive documentation, Unsloth is accessible to both beginners and experienced users.
Unsloth is the ultimate AI development platform, providing a seamless and secure way to run, train, and deploy AI models locally, making it an essential tool for anyone working with AI.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/unslothai/unsloth
📝 Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
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Unsloth is a revolutionary desktop app that allows you to run, train, and deploy AI models locally. With support for various types of models, including LLMs, diffusion, embedding, and audio models, Unsloth provides a comprehensive platform for AI development.
Key Features:
Unsloth offers a range of features, including running and training models, fine-tuning, and deploying models with support for multiple hardware configurations, including CPU, NVIDIA, AMD, and Intel. It also provides remote access to your local models through secure Cloudflare HTTPS.
Usage: To get started with Unsloth, you can download the native desktop app for your operating system or install it manually using the provided installation scripts. Unsloth can be used in three ways: Unsloth Desktop, Unsloth Studio (web UI), and Unsloth Core (code-based version).
Technical Highlights:
Unsloth supports various backends, including PyTorch, MLX, and GGUF, allowing for flexible model deployment. It also provides tools like Claude Code, Codex, and MCP for local model usage.
Audience:
Unsloth is designed for developers, researchers, and AI enthusiasts who want to run, train, and deploy AI models locally. With its user-friendly interface and comprehensive documentation, Unsloth is accessible to both beginners and experienced users.
Takeaway: Unsloth is the ultimate AI development platform, providing a seamless and secure way to run, train, and deploy AI models locally, making it an essential tool for anyone working with AI.
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🧠 Channel: https://t.me/GithubRe