Github Top Repositories
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๐ Meet JCodesMore/ai-website-cloner-template: a gem from today's GitHub trending list.
๐ https://github.com/JCodesMore/ai-website-cloner-template
๐ Clone any website with one command using AI coding agents
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The AI Website Cloner Template is a reusable template that helps you reverse-engineer any website into a modern Next.js codebase using AI coding agents. With this template, you can point it at a URL, run the
The template is designed to work with a variety of AI coding agents, including Claude Code, Codex CLI, and OpenCode. To get started, simply create a new repository from the template, install the dependencies, start your AI agent, and run the
The template uses a range of technologies, including Next.js 16, shadcn/ui, and Tailwind CSS v4. It's suitable for a range of use cases, including platform migration, lost source code recovery, and learning. However, it's not intended for phishing, impersonation, or passing off someone's design as your own.
The project structure is well-organized, with separate directories for components, utilities, and types. There are also several commands available for building, linting, and type-checking the code.
Overall, the AI Website Cloner Template is a powerful tool for anyone looking to reverse-engineer a website and rebuild it in a modern codebase. Clone a website in minutes, not months.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/JCodesMore/ai-website-cloner-template
๐ Clone any website with one command using AI coding agents
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The AI Website Cloner Template is a reusable template that helps you reverse-engineer any website into a modern Next.js codebase using AI coding agents. With this template, you can point it at a URL, run the
/clone-website command, and your AI agent will inspect the site, extract design tokens and assets, write component specs, and reconstruct every section. The template is designed to work with a variety of AI coding agents, including Claude Code, Codex CLI, and OpenCode. To get started, simply create a new repository from the template, install the dependencies, start your AI agent, and run the
/clone-website skill with the target URL.The template uses a range of technologies, including Next.js 16, shadcn/ui, and Tailwind CSS v4. It's suitable for a range of use cases, including platform migration, lost source code recovery, and learning. However, it's not intended for phishing, impersonation, or passing off someone's design as your own.
The project structure is well-organized, with separate directories for components, utilities, and types. There are also several commands available for building, linting, and type-checking the code.
Overall, the AI Website Cloner Template is a powerful tool for anyone looking to reverse-engineer a website and rebuild it in a modern codebase. Clone a website in minutes, not months.
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Github Top Repositories
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๐ Deep-diving into byoungd/English-level-up-tips โ fresh off the trending list.
๐ https://github.com/byoungd/English-level-up-tips
๐ An advanced guide to learn English which might benefit you a lot ๐ . ไบบ็่ฟ้ถๆๅ ็ฆป่ฐฑ็ไบบ็ ็ฆป่ฐฑ็่ฑ่ฏญๅญฆไน ๆๅ/่ฑ่ฏญๅญฆไน ๆ็จ/่ฑ่ฏญๅญฆไน /ๅญฆ่ฑ่ฏญ
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The English-level-up-tips GitHub repository is a comprehensive guide to learning English, created with the goal of helping individuals improve their language skills. The repository is divided into several chapters, each focusing on a different aspect of language learning, such as understanding, vocabulary, listening, reading, speaking, and writing.
The repository also features an AI chapter that has been updated to 2026, which provides a systematic approach to using AI in language learning, including how to use
The guide is designed to be a valuable resource for anyone looking to improve their English skills, and it is available to read online on various platforms, including GitHub Pages and GitBook.
The creator of the repository, byoungd, has made it available under a Creative Commons license, and it is free to use and share.
In short, this repository is an excellent resource for English language learners, and its AI-powered approach makes it a standout in the field - so, learn English like you mean it.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/byoungd/English-level-up-tips
๐ An advanced guide to learn English which might benefit you a lot ๐ . ไบบ็่ฟ้ถๆๅ ็ฆป่ฐฑ็ไบบ็ ็ฆป่ฐฑ็่ฑ่ฏญๅญฆไน ๆๅ/่ฑ่ฏญๅญฆไน ๆ็จ/่ฑ่ฏญๅญฆไน /ๅญฆ่ฑ่ฏญ
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The English-level-up-tips GitHub repository is a comprehensive guide to learning English, created with the goal of helping individuals improve their language skills. The repository is divided into several chapters, each focusing on a different aspect of language learning, such as understanding, vocabulary, listening, reading, speaking, and writing.
The repository also features an AI chapter that has been updated to 2026, which provides a systematic approach to using AI in language learning, including how to use
Gemini as the main engine and how to design a training loop that incorporates ChatGPT, Claude, Perplexity, and DeepL Write. The guide is designed to be a valuable resource for anyone looking to improve their English skills, and it is available to read online on various platforms, including GitHub Pages and GitBook.
The creator of the repository, byoungd, has made it available under a Creative Commons license, and it is free to use and share.
In short, this repository is an excellent resource for English language learners, and its AI-powered approach makes it a standout in the field - so, learn English like you mean it.
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๐ง Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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โก DeusData/codebase-memory-mcp is making waves. Here's the full picture.
๐ https://github.com/DeusData/codebase-memory-mcp
๐ High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph โ average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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The codebase-memory-mcp GitHub repository is home to the fastest and most efficient code intelligence engine for AI coding agents. This engine is capable of full-indexing an average repository in milliseconds and answering structural queries in under 1ms.
Key features include high-quality parsing through
Technical highlights include a RAM-first pipeline with LZ4 compression, in-memory SQLite, and fused Aho-Corasick pattern matching, resulting in extreme indexing speed and low memory usage.
This project is suitable for developers and researchers looking to improve their code exploration and development workflow.
In a nutshell, codebase-memory-mcp is a game-changer for coding agents, offering unparalleled speed and efficiency - Index your codebase in milliseconds and supercharge your coding experience!
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๐ https://github.com/DeusData/codebase-memory-mcp
๐ High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph โ average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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The codebase-memory-mcp GitHub repository is home to the fastest and most efficient code intelligence engine for AI coding agents. This engine is capable of full-indexing an average repository in milliseconds and answering structural queries in under 1ms.
Key features include high-quality parsing through
tree-sitter AST analysis across 158 languages, Hybrid LSP semantic type resolution for 9 languages, and a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. Usage is straightforward, with a one-line install command for macOS, Linux, and Windows, and a simple install command to configure MCP server entries and instruction files for 11 coding agents. Technical highlights include a RAM-first pipeline with LZ4 compression, in-memory SQLite, and fused Aho-Corasick pattern matching, resulting in extreme indexing speed and low memory usage.
This project is suitable for developers and researchers looking to improve their code exploration and development workflow.
In a nutshell, codebase-memory-mcp is a game-changer for coding agents, offering unparalleled speed and efficiency - Index your codebase in milliseconds and supercharge your coding experience!
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ก NousResearch/hermes-agent just hit the trending charts โ here's why it matters.
๐ https://github.com/NousResearch/hermes-agent
๐ The agent that grows with you
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Hermes Agent is a self-improving AI agent that learns from experience, improves its skills, and builds a deep understanding of its users. With a built-in learning loop, it creates skills from experience, improves them during use, and searches its own past conversations. Key features include:
- A real terminal interface with multiline editing and conversation history
- Cross-platform support for Telegram, Discord, Slack, WhatsApp, Signal, and CLI
- Scheduled automations with a built-in cron scheduler
- Support for various models from different providers, including Nous Portal, OpenRouter, and Hugging Face
To get started, users can install Hermes Agent using a
With its flexible architecture and user-friendly interface, Hermes Agent is designed for users who want a powerful and customizable AI assistant. Whether you're a developer, researcher, or simply looking for a smarter way to interact with AI, Hermes Agent is definitely worth checking out.
One-liner takeaway: With Hermes Agent, you can have a personalized AI assistant that learns and adapts to your needs, all while being easy to use and customize.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/NousResearch/hermes-agent
๐ The agent that grows with you
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Hermes Agent is a self-improving AI agent that learns from experience, improves its skills, and builds a deep understanding of its users. With a built-in learning loop, it creates skills from experience, improves them during use, and searches its own past conversations. Key features include:
- A real terminal interface with multiline editing and conversation history
- Cross-platform support for Telegram, Discord, Slack, WhatsApp, Signal, and CLI
- Scheduled automations with a built-in cron scheduler
- Support for various models from different providers, including Nous Portal, OpenRouter, and Hugging Face
To get started, users can install Hermes Agent using a
curl command or a PowerShell script, and then configure the agent using the hermes setup command. The agent can be run on a variety of platforms, including Linux, macOS, Windows, and cloud infrastructure.With its flexible architecture and user-friendly interface, Hermes Agent is designed for users who want a powerful and customizable AI assistant. Whether you're a developer, researcher, or simply looking for a smarter way to interact with AI, Hermes Agent is definitely worth checking out.
One-liner takeaway: With Hermes Agent, you can have a personalized AI assistant that learns and adapts to your needs, all while being easy to use and customize.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ affaan-m/ECC caught my eye on GitHub Trending today.
๐ https://github.com/affaan-m/ECC
๐ 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 ECC GitHub repository is an innovative project that introduces an agent harness operating system designed for agentic work. At its core, ECC is a comprehensive system that encompasses
ECC provides a range of features, including production-ready agents, skills, hooks, rules, and legacy command shims, all of which have been developed and refined over 10+ months of intensive daily use in building real products. The repository is well-documented, with guides available in multiple languages, including English, Portuguรชs (Brasil), ็ฎไฝไธญๆ, and many others.
The ECC system is designed to be language-agnostic, supporting a wide range of programming languages, including
The repository has a strong focus on security, with features like
Overall, the ECC repository is an exciting project that has the potential to revolutionize the way we work with AI agents. With its comprehensive features, language-agnostic design, and strong focus on security, ECC is an excellent choice for developers and researchers looking to harness the power of AI in their work.
One-liner takeaway: ECC is a game-changing agent harness operating system that's poised to transform the way we work with AI agents, and it's available now on GitHub.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/affaan-m/ECC
๐ 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 ECC GitHub repository is an innovative project that introduces an agent harness operating system designed for agentic work. At its core, ECC is a comprehensive system that encompasses
skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. This system is built on top of real-world multi-harness engineering workflows and is compatible with various AI agent harnesses, including Codex, Claude Code, and GitHub Copilot.ECC provides a range of features, including production-ready agents, skills, hooks, rules, and legacy command shims, all of which have been developed and refined over 10+ months of intensive daily use in building real products. The repository is well-documented, with guides available in multiple languages, including English, Portuguรชs (Brasil), ็ฎไฝไธญๆ, and many others.
The ECC system is designed to be language-agnostic, supporting a wide range of programming languages, including
TypeScript, Python, Go, Java, and Perl. It also features a cross-harness architecture, allowing for seamless integration with different AI agent harnesses.The repository has a strong focus on security, with features like
AgentShield and security scanning to protect against potential threats. Additionally, ECC has a community-driven approach, with a Discord community and GitHub App available for users to interact with the project and its maintainers.Overall, the ECC repository is an exciting project that has the potential to revolutionize the way we work with AI agents. With its comprehensive features, language-agnostic design, and strong focus on security, ECC is an excellent choice for developers and researchers looking to harness the power of AI in their work.
One-liner takeaway: ECC is a game-changing agent harness operating system that's poised to transform the way we work with AI agents, and it's available now on GitHub.
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๐ก calesthio/OpenMontage just hit the trending charts โ here's why it matters.
๐ https://github.com/calesthio/OpenMontage
๐ 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.
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Meet OpenMontage, the first open-source, agentic video production system. It's designed to turn your AI coding assistant into a full video production studio, where you can describe what you want in plain language and let the agent handle research, scripting, asset generation, editing, and final composition.
Key features include the ability to start from a reference video, analyze its transcript, pacing, scenes, and style, and generate a grounded production plan. You can also use OpenMontage to create
To get started, you'll need to install
OpenMontage is suitable for a wide range of users, from video producers to marketers and educators. It's a powerful tool for creating high-quality videos without requiring extensive video production experience.
With OpenMontage, you can create stunning videos like "SIGNAL FROM TOMORROW" or "THE LAST BANANA" with minimal cost and effort. The system is designed to be flexible and customizable, allowing you to add API keys for various tools and services to unlock more features.
In summary, OpenMontage is a game-changer for video production, and its community-driven approach ensures that it will continue to evolve and improve over time. So, why not give it a try and see what you can create? OpenMontage is the future of video production, and it's available now.
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๐ https://github.com/calesthio/OpenMontage
๐ 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.
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Meet OpenMontage, the first open-source, agentic video production system. It's designed to turn your AI coding assistant into a full video production studio, where you can describe what you want in plain language and let the agent handle research, scripting, asset generation, editing, and final composition.
Key features include the ability to start from a reference video, analyze its transcript, pacing, scenes, and style, and generate a grounded production plan. You can also use OpenMontage to create
image-based videos or real videos using free stock footage and open archives.To get started, you'll need to install
Python 3.10+, FFmpeg, and Node.js 18+. Then, clone the repository, run make setup, and open the project in your AI coding assistant.OpenMontage is suitable for a wide range of users, from video producers to marketers and educators. It's a powerful tool for creating high-quality videos without requiring extensive video production experience.
With OpenMontage, you can create stunning videos like "SIGNAL FROM TOMORROW" or "THE LAST BANANA" with minimal cost and effort. The system is designed to be flexible and customizable, allowing you to add API keys for various tools and services to unlock more features.
In summary, OpenMontage is a game-changer for video production, and its community-driven approach ensures that it will continue to evolve and improve over time. So, why not give it a try and see what you can create? OpenMontage is the future of video production, and it's available now.
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๐ง Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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๐ Deep-diving into ZhuLinsen/daily_stock_analysis โ fresh off the trending list.
๐ https://github.com/ZhuLinsen/daily_stock_analysis
๐ LLM ้ฉฑๅจ็ๅคๅธๅบ่ก็ฅจๆบ่ฝๅๆ็ณป็ป๏ผๅคๆบ่กๆ ใๅฎๆถๆฐ้ปใๅณ็ญ็ๆฟไธ่ชๅจๆจ้๏ผๆฏๆ้ถๆๆฌๅฎๆถ่ฟ่กใ LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
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Daily Stock Analysis is an open-source project that provides a comprehensive daily stock analysis system. The system utilizes AI models to analyze stocks and provide decision-making reports.
Key Features:
- AI decision-making reports
- Multi-market data aggregation
- Web and desktop workspaces
- Agent strategy inquiry
- Intelligent import and completion
- Automation and push notifications
The system supports various AI models, including Anspire, AIHubMix, and OpenAI. It also aggregates data from multiple markets, including A-share, Hong Kong stocks, US stocks, and more.
- The system uses Python 3.10+ and supports Docker and GitHub Actions.
- It provides a web interface for configuration management, task monitoring, and manual analysis.
Audience:
- The project is suitable for individual investors, financial analysts, and researchers who want to utilize AI-powered stock analysis.
To get started, users can fork the repository and configure the secrets, or they can use the client configuration tutorial.
One-liner Takeaway: Daily Stock Analysis is a powerful open-source tool that leverages AI to provide comprehensive daily stock analysis and decision-making reports, making it an excellent resource for investors and researchers alike.
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๐ https://github.com/ZhuLinsen/daily_stock_analysis
๐ LLM ้ฉฑๅจ็ๅคๅธๅบ่ก็ฅจๆบ่ฝๅๆ็ณป็ป๏ผๅคๆบ่กๆ ใๅฎๆถๆฐ้ปใๅณ็ญ็ๆฟไธ่ชๅจๆจ้๏ผๆฏๆ้ถๆๆฌๅฎๆถ่ฟ่กใ LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
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Daily Stock Analysis is an open-source project that provides a comprehensive daily stock analysis system. The system utilizes AI models to analyze stocks and provide decision-making reports.
Key Features:
- AI decision-making reports
- Multi-market data aggregation
- Web and desktop workspaces
- Agent strategy inquiry
- Intelligent import and completion
- Automation and push notifications
The system supports various AI models, including Anspire, AIHubMix, and OpenAI. It also aggregates data from multiple markets, including A-share, Hong Kong stocks, US stocks, and more.
Technical Highlights:- The system uses Python 3.10+ and supports Docker and GitHub Actions.
- It provides a web interface for configuration management, task monitoring, and manual analysis.
Audience:
- The project is suitable for individual investors, financial analysts, and researchers who want to utilize AI-powered stock analysis.
To get started, users can fork the repository and configure the secrets, or they can use the client configuration tutorial.
python main.py --debug
One-liner Takeaway: Daily Stock Analysis is a powerful open-source tool that leverages AI to provide comprehensive daily stock analysis and decision-making reports, making it an excellent resource for investors and researchers alike.
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๐ง Channel: https://xn--r1a.website/GithubRe