🌟 affaan-m/everything-claude-code caught my eye on GitHub Trending today.

🔗 https://github.com/affaan-m/everything-claude-code
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The Everything Claude Code GitHub repository is a comprehensive performance optimization system for AI agent harnesses, built by an Anthropic hackathon winner. This system offers a wide range of features, including skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. It is designed to work across various AI agent harnesses, such as Claude Code, Codex, Cursor, and OpenCode.

The repository is packed with 140K+ stars, 21K+ forks, and 170+ contributors, making it a highly collaborative and popular project. It supports 12+ language ecosystems, including TypeScript, Python, Go, Java, and more.

To get started, users can follow the Shorthand Guide, Longform Guide, or Security Guide, which provide detailed instructions on setting up and using the system. The repository also includes a variety of tools and skills to help users optimize their AI agent harnesses.

The latest version, v2.0.0-rc.1, introduces a new dashboard GUI, operator workflows, and ECC 2.0 alpha. It also includes updates to the framework and product surface, making it more versatile and user-friendly.

Overall, the Everything Claude Code repository is an excellent resource for anyone looking to optimize their AI agent harnesses and improve their performance. With its comprehensive features, collaborative community, and detailed guides, it's an ideal choice for developers and researchers alike.
One-liner takeaway: Everything Claude Code is the ultimate performance optimization system for AI agent harnesses, offering a wide range of features, tools, and skills to help users unlock their full potential.

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🧠 Channel: https://t.iss.one/GithubRe

💡 datawhalechina/hello-agents just hit the trending charts — here's why it matters.

🔗 https://github.com/datawhalechina/hello-agents
📝 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
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Hello-Agents is a comprehensive open-source project that provides a systemized guide to building AI agents from scratch. The project aims to help learners master the design and development of intelligent agent systems, from basic theories to practical applications.

Key Features:
- Provides a systematic learning path for building AI agents
- Covers theoretical foundations and practical implementations
- Includes hands-on exercises and real-world projects

Technical Highlights:
- Focuses on AI-native agents driven by AI technologies
- Explores low-code platforms and framework development
- Discusses advanced topics such as memory, context engineering, and multi-agent systems

Audience:
- Suitable for AI developers, software engineers, and students with basic programming skills
- Ideal for self-learners interested in AI and agent technologies

Get started with Hello-Agents and become a master of building intelligent agent systems - join the community and start your journey today!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 bytedance/UI-TARS-desktop is trending — and it deserves your attention.

🔗 https://github.com/bytedance/UI-TARS-desktop
📝 The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
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The UI-TARS-desktop GitHub repository is home to a multimodal AI agent stack, featuring two main projects: Agent TARS and UI-TARS-desktop. Agent TARS is a general multimodal AI agent that brings the power of GUI Agent and Vision into your terminal, computer, browser, and product. It offers a CLI and Web UI for usage, aiming to provide a human-like task completion workflow through cutting-edge multimodal LLMs and seamless integration with various real-world tools.

UI-TARS Desktop is a desktop application that provides a native GUI Agent based on the UI-TARS model, supporting local and remote computer, as well as browser operators. Key features include one-click out-of-the-box CLI, hybrid browser agent, event stream, and MCP integration.

To get started, you can launch Agent TARS with npx @agent-tars/cli@latest or install it globally with npm install @agent-tars/cli@latest -g. The project is suitable for developers and users looking to explore the capabilities of multimodal AI agents.

In a nutshell, UI-TARS-desktop and Agent TARS are Revolutionizing Human-Computer Interaction, One Command at a Time!

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🧠 Channel: https://t.iss.one/GithubRe

🔥 CloakHQ/CloakBrowser is trending — and it deserves your attention.

🔗 https://github.com/CloakHQ/CloakBrowser
📝 Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
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Meet CloakBrowser, a stealthy Chromium browser that evades bot detection tests. This game-changer is a real Chromium binary with modified fingerprints at the C++ source level, making it indistinguishable from a normal browser.

Key features include:
- 49 source-level C++ patches for canvas, WebGL, audio, and more
- humanize=True for human-like mouse curves, keyboard timing, and scroll patterns
- Passing reCAPTCHA v3 with a score of 0.9 and Cloudflare Turnstile
- Auto-updating binary with background update checks

Usage is straightforward:

from cloakbrowser import launch
browser = launch()
page = browser.new_page()
page.goto("https://protected-site.com")
browser.close()

Or in JavaScript (Playwright):

import { launch } from 'cloakbrowser';
const browser = await launch();
const page = await browser.newPage();
await page.goto('https://protected-site.com');
await browser.close();

The target audience includes developers, data scientists, and anyone who needs to automate browser interactions without being detected. With CloakBrowser, you can effortlessly bypass bot detection and focus on your project.
The punchy one-liner takeaway: CloakBrowser makes bot detection a thing of the past, and automation a breeze.

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🧠 Channel: https://t.iss.one/GithubRe

⚡ yikart/AiToEarn is making waves. Here's the full picture.

🔗 https://github.com/yikart/AiToEarn
📝 Let's use AI to Earn!
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AiToEarn is an open-source platform that helps individuals and businesses monetize their content on multiple social media platforms. It provides a one-stop solution for creating, publishing, engaging, and earning money from content. The platform supports various social media channels, including TikTok, YouTube, Facebook, Instagram, and more.

Key features include AI-powered content creation, automated publishing, and engagement tools. Users can access AiToEarn through multiple methods, including a web interface, integration with other AI tools like Claude and Cursor, Docker deployment, or source code development.

Technical highlights include support for Node.js 20.18.x and a MIT license. The platform has a docker-compose.yml file for easy deployment and a README.md file with detailed instructions.

git clone https://github.com/yikart/AiToEarn.git
cd AiToEarn
docker compose up -d

The platform is designed for content creators, businesses, and individuals who want to monetize their content on social media. With its user-friendly interface and automated tools, AiToEarn makes it easy to create, publish, and engage with content, and earn money from it.

In short, AiToEarn is a game-changer for content creators and businesses looking to maximize their online presence and earnings. Join the AiToEarn community today and start monetizing your content!

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🧠 Channel: https://t.iss.one/GithubRe

🔍 Deep-diving into playcanvas/supersplat — fresh off the trending list.

🔗 https://github.com/playcanvas/supersplat
📝 3D Gaussian Splat Editor
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The SuperSplat Editor is a free, open-source tool for creating and editing 3D Gaussian Splats. It's built with web technologies, so you can use it right in your browser - no downloads or installations needed. Key features include inspecting, editing, optimizing, and publishing splats. To get started, you can use the live version at https://superspl.at/editor or clone the repository and follow the local development steps.

For local development, ensure you have Node.js 18 or later installed, then clone the repository, install dependencies with npm install, and build SuperSplat with npm run develop. The editor also supports localizing to different languages - you can add a new language by creating a .json file in the static/locales directory and updating the localization.ts file.

The SuperSplat Editor is perfect for developers, designers, and anyone working with 3D graphics. With its user-friendly interface and robust features, it's an essential tool for anyone looking to create stunning visual effects.
One-liner takeaway: The SuperSplat Editor is a game-changer for 3D graphics creation - try it now and elevate your visual effects to the next level!

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🧠 Channel: https://t.iss.one/GithubRe