⚡ citrolabs/ego-lite is making waves. Here's the full picture.

🔗 https://github.com/citrolabs/ego-lite
📝 The best browser for both you and your AI agents work in parallel.
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Introducing ego lite, a revolutionary browser designed for humans and AI agents to work together in parallel. This browser allows you to work on your tasks while your AI agents run multiple browser tasks in their own isolated Spaces, increasing efficiency and reducing collisions.

To get started with ego-lite, simply download the macOS app or add the ego-browser skill using npx. Then, run your first task by typing /ego-browser followed by your desired action.

Some of the key features of ego-lite include a dedicated Space for every agent, multitasking capabilities, and the strongest page Snapshot on the market. The browser also offers reusable skills, compressed semantic input, and controllable external agents.

Technical highlights of ego-lite include its code base, not CLI base, for faster runs with fewer tokens on complex tasks, and its ability to inherit Chrome's data. The browser is designed for daily use and is free, with a MIT License.

Audience for ego-lite includes anyone looking to streamline their workflow with AI agents, including developers, researchers, and businesses.

In summary, ego-lite is a game-changer for anyone looking to work efficiently with AI agents. With its unique features and technical capabilities, it's an essential tool for anyone looking to take their productivity to the next level: Work smarter, not harder, with ego lite.

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: yorukot/superfile — let's break it down.

🔗 https://github.com/yorukot/superfile
📝 Pretty fancy and modern terminal file manager
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Superfile is an open-source project that provides a powerful file management system. Its purpose is to make file operations more efficient and convenient. The key features of superfile include a user-friendly interface, support for various file systems, and customization options.

To use superfile, you can install it on your system using the provided installation scripts or packages. The project supports macOS, Linux, and Windows operating systems. Once installed, you can start superfile using the spf command.

From a technical standpoint, superfile is built using golang and provides a build.sh script for compiling the source code. The project also includes a range of plugins and themes that can be used to extend its functionality and customize its appearance.

Superfile is designed for developers and power users who need a flexible and customizable file management system. The project is community-driven and welcomes contributions from developers and users alike.

In summary, superfile is a powerful and customizable file management system that is perfect for developers and power users - give it a try and take your file operations to the next level!

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🧠 Channel: https://t.iss.one/GithubRe

🌟 ruvnet/RuView caught my eye on GitHub Trending today.

🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a WiFi sensing platform that transforms radio signals into spatial intelligence, allowing you to detect people, track movement, and monitor rooms through walls, without cameras or wearables. Key features include presence and occupancy detection, vital sign measurement, activity recognition, environment mapping, and sleep quality monitoring. Usage is straightforward, with options for Docker, ESP32-S3 hardware, or a full system with Cognitum Seed. Technical highlights include edge intelligence, multi-frequency mesh scanning, and 3D point cloud fusion. This project is suitable for developers, researchers, and smart home enthusiasts. With RuView, you can turn ordinary WiFi into a contactless sensor, making it a game-changer for various applications. RuView is all about revolutionizing spatial intelligence with WiFi.

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🧠 Channel: https://t.iss.one/GithubRe

🔥 CoreBunch/Instatic is trending — and it deserves your attention.

🔗 https://github.com/CoreBunch/Instatic
📝 The open-source alternative to Webflow, Framer and WordPress. Agentic self-hosted visual CMS outputting clean static pages. Users, roles, plugins, content, database, it's all there.
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Instatic is a self-hosted CMS that combines a visual editor, content engine, and publisher in one Bun server. It generates clean, semantic HTML and compact CSS, with no framework runtime or builder attributes. Key features include a canvas editor, Core Framework design-token engine, visual components, templates, loops, forms, and an AI agent that edits pages. Deployment options include one-click deployment to Railway, Render, or Docker/VPS, with guides for VPS, Postgres, HTTPS, and backups. Instatic is suitable for developers, designers, and content creators who want a self-hosted CMS with a high degree of customizability and control. With Instatic, you can own your site and love building it.

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet chrislgarry/Apollo-11: a gem from today's GitHub trending list.

🔗 https://github.com/chrislgarry/Apollo-11
📝 Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
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The Apollo-11 GitHub repository is a collection of the original Apollo 11 source code for the Command Module (Comanche055) and Lunar Module (Luminary099). The code has been digitized from original scans and is available in multiple languages. The repository's goal is to provide an accurate representation of the original source code, and pull requests are welcome to correct any discrepancies.

To compile the original source code, you can use Virtual AGC. The repository also includes information on attribution, contract, and approvals for the AGC program.

The Apollo-11 repository is a valuable resource for space enthusiasts, software developers, and historians interested in the Apollo 11 mission.

You can explore the repository and its contents, including the Comanche055 and Luminary099 source code, as well as the CONTRACT_AND_APPROVALS.agc file.

Takeaway: The Apollo-11 repository is a piece of space history that's now open-source and waiting to be explored.

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🧠 Channel: https://t.iss.one/GithubRe

🎯 mattpocock/skills landed on trending. Worth a proper look.

🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .agents directory.
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The mattpocock/skills GitHub repository offers a collection of skills designed to enhance the productivity and effectiveness of real-world engineering tasks. These skills are small, easy to adapt, and composable, allowing developers to work seamlessly with any model. The repository provides a range of skills, including /grill-me, /grill-with-docs, and /tdd, which help developers to align with the agent, build a shared language, and implement robust testing practices.

To get started, users can run the skills.sh installer and follow the quickstart guide. The repository also offers a native Claude Code plugin for a plug-and-play installation. The skills are designed to be used by real engineers to tackle common failure modes in software development, such as misalignment, verbosity, and poor code quality.

The skills are categorized into user-invoked and model-invoked skills, with the former being reachable only when invoked by the user, and the latter being invokable by the user or the agent. Some of the key skills include ask-matt, grill-with-docs, and improve-codebase-architecture, which help developers to navigate the skills, build a domain model, and improve the codebase architecture.

Overall, the mattpocock/skills repository provides a valuable resource for developers looking to improve their productivity and effectiveness in real-world engineering tasks. With its flexible and adaptable skills, it's an essential tool for any developer looking to take their skills to the next level - and with these skills, you'll be coding like a pro in no time!

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🧠 Channel: https://t.iss.one/GithubRe

🌟 Lordog/dive-into-llms caught my eye on GitHub Trending today.

🔗 https://github.com/Lordog/dive-into-llms
📝 《动手学大模型Dive into LLMs》系列编程实践教程
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Dive into LLMs is a free, open-source tutorial series on large language models (LLMs). The project aims to provide a hands-on programming guide for LLMs, covering topics such as fine-tuning, prompting, and knowledge editing. The series includes practical exercises and real-world examples to help learners quickly get started with LLMs.

The tutorial series consists of multiple chapters, each focusing on a specific aspect of LLMs, such as:
- 微调与部署 (Fine-tuning and Deployment)
- 提示学习与思维链 (Prompt Learning and Thought Chain)
- 知识编辑 (Knowledge Editing)
- 数学推理 (Mathematical Reasoning)

The project also features a new series of courses, "大模型开发全流程" (Large Model Development Full Process), developed in collaboration with Huawei's Ascend community. This series provides a comprehensive guide to developing and applying LLMs, including PPT, experiment manuals, and videos.

The tutorials are designed for students, researchers, and developers who want to learn about LLMs and their applications. The project is open to contributions and welcomes feedback and discussions.

Key takeaway: With Dive into LLMs, you can quickly dive into the world of large language models and start building your own LLM-powered projects!

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🧠 Channel: https://t.iss.one/GithubRe