Github Top Repositories
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📌 Spotted on GitHub Trending: CoreBunch/Instatic — let's break it down.
🔗 https://github.com/CoreBunch/Instatic
📝 Instatic is a modern self-hosted visual CMS - get it running in 1 minute
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Instatic is a self-hosted CMS that lets you build, manage, and deploy a website from a single
Key features include a design system with Core Framework, a build system with reusable visual components, and a management system with a data workspace and media workspace. Instatic also has an analyze system with a customizable dashboard and audit log, as well as an extend system with sandboxed plugins.
To get started, you can deploy Instatic in one click using Railway or other providers. The platform is ideal for developers, designers, and content creators who want a self-hosted, customizable, and secure CMS.
Instatic is perfect for those who want to own their site and love building it - with Instatic, you can have a site that's yours, not rented.
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🔗 https://github.com/CoreBunch/Instatic
📝 Instatic is a modern self-hosted visual CMS - get it running in 1 minute
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Instatic is a self-hosted CMS that lets you build, manage, and deploy a website from a single
Bun server. With Instatic, you get a visual editor, content engine, and publisher all in one, producing clean, semantic HTML and compact CSS. The platform is MIT-licensed and self-hosted, giving you full control over your site.Key features include a design system with Core Framework, a build system with reusable visual components, and a management system with a data workspace and media workspace. Instatic also has an analyze system with a customizable dashboard and audit log, as well as an extend system with sandboxed plugins.
To get started, you can deploy Instatic in one click using Railway or other providers. The platform is ideal for developers, designers, and content creators who want a self-hosted, customizable, and secure CMS.
Instatic is perfect for those who want to own their site and love building it - with Instatic, you can have a site that's yours, not rented.
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🧠 Channel: https://xn--r1a.website/GithubRe
📌 Spotted on GitHub Trending: TencentCloud/CubeSandbox — let's break it down.
🔗 https://github.com/TencentCloud/CubeSandbox
📝 Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
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CubeSandbox is an instant, concurrent, secure, and lightweight sandbox service for AI agents. It offers sub-60ms boot time, hardware-level isolation, and E2B compatibility. Key features include
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🔗 https://github.com/TencentCloud/CubeSandbox
📝 Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
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CubeSandbox is an instant, concurrent, secure, and lightweight sandbox service for AI agents. It offers sub-60ms boot time, hardware-level isolation, and E2B compatibility. Key features include
high-density deployment, credential vault, and egress control. The service is suitable for AI and machine learning developers, DevOps teams, and security professionals. With its high-performance and low-memory overhead, CubeSandbox is ideal for large-scale AI applications. To get started, follow the quick start guide and choose your deployment path. With CubeSandbox, you can run thousands of AI agents on a single node - security has never been so scalable.──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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🔥 browser-use/video-use is trending — and it deserves your attention.
🔗 https://github.com/browser-use/video-use
📝 Edit videos with coding agents
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Video-use is an open-source tool that lets you edit videos with Claude Code. Simply drop your raw footage into a folder, chat with Claude Code, and get a final edited video back.
Main features include cutting out filler words, auto color grading, 30ms audio fades, burning subtitles, and generating animation overlays.
To
From a technical standpoint, video-use uses a two-layer approach, where the LLM reads the video transcript and visual composite to make editing decisions.
This tool is suitable for a wide range of users, from content creators to developers, who want to automate their video editing workflow.
In a nutshell, video-use simplifies video editing by leveraging AI, making it a game-changer for anyone looking to streamline their video production process: edit smarter, not harder.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/browser-use/video-use
📝 Edit videos with coding agents
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Video-use is an open-source tool that lets you edit videos with Claude Code. Simply drop your raw footage into a folder, chat with Claude Code, and get a final edited video back.
Main features include cutting out filler words, auto color grading, 30ms audio fades, burning subtitles, and generating animation overlays.
To
get started, you can try video-use in the Browser Use Cloud or set it up on your own machine by cloning the repo, installing dependencies, and registering with an agent. From a technical standpoint, video-use uses a two-layer approach, where the LLM reads the video transcript and visual composite to make editing decisions.
This tool is suitable for a wide range of users, from content creators to developers, who want to automate their video editing workflow.
In a nutshell, video-use simplifies video editing by leveraging AI, making it a game-changer for anyone looking to streamline their video production process: edit smarter, not harder.
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Github Top Repositories
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🌟 yikart/AiToEarn caught my eye on GitHub Trending today.
🔗 https://github.com/yikart/AiToEarn
📝 Let's use AI to Earn!
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AiToEarn is an innovative platform that empowers creators, brands, and enterprises to monetize, publish, engage, and create content across multiple social media platforms. With its
Key features include:
* Monetize: Earn money through content creation and sales
* Publish: Distribute content across multiple platforms with one click
* Engage: Automate interactions with AI-powered browser plugins
* Create: Utilize AI agents for content creation, from idea to production
Usage is flexible, with options to:
1.
2.
3.
4.
5.
Technical highlights include support for Node.js 20.18.x and a MIT license. The platform is designed for creators, brands, and enterprises seeking to simplify content creation, publication, and monetization.
In short, AiToEarn is a game-changer for content creators and businesses, offering a
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/yikart/AiToEarn
📝 Let's use AI to Earn!
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AiToEarn is an innovative platform that empowers creators, brands, and enterprises to monetize, publish, engage, and create content across multiple social media platforms. With its
AI Agent automation, users can streamline content creation, publication, and interaction. The platform supports various channels, including Douyin, Xiaohongshu, Kuaishou, Bilibili, TikTok, YouTube, Facebook, Instagram, Twitter, and Pinterest.Key features include:
* Monetize: Earn money through content creation and sales
* Publish: Distribute content across multiple platforms with one click
* Engage: Automate interactions with AI-powered browser plugins
* Create: Utilize AI agents for content creation, from idea to production
Usage is flexible, with options to:
1.
Use the web version directly2.
Integrate with OpenClaw for seamless task execution3.
Use with Claude or other AI assistants via MCP protocol4.
Deploy with Docker for self-hosted solutions5.
Contribute to the source code for development and customizationTechnical highlights include support for Node.js 20.18.x and a MIT license. The platform is designed for creators, brands, and enterprises seeking to simplify content creation, publication, and monetization.
In short, AiToEarn is a game-changer for content creators and businesses, offering a
one-stop solution for content creation, publication, engagement, and monetization.──────────────────────────────
🧠 Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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💡 usestrix/strix just hit the trending charts — here's why it matters.
🔗 https://github.com/usestrix/strix
📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
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Introduction to Strix: Strix is an open-source AI pentesting tool that utilizes autonomous AI hackers to identify and fix vulnerabilities in applications. It provides a comprehensive pentesting toolkit, multi-agent orchestration, and real exploit validation, making it an ideal solution for developers and security teams.
Key Features:
- Full pentesting toolkit with reconnaissance, exploitation, and validation capabilities
- Multi-agent orchestration for collaborative and scalable pentesting
- Real exploit validation with working proof-of-concepts
- Developer-first CLI for actionable findings and remediation guidance
- Auto-fix and reporting capabilities for streamlined security testing
```bash
# Scan a local codebase
strix --target ./app-directory
# Security review of a GitHub repository
strix --target https://github.com/org/repo
# Black-box web application assessment
strix --target https://your-app.com
```
Technical Highlights: Strix integrates seamlessly with GitHub Actions and CI/CD pipelines, allowing for automatic vulnerability scanning on every pull request. It also supports various LLM providers, including OpenAI, Anthropic, and Google.
Audience: Strix is designed for developers, security teams, and individuals who need fast and accurate security testing without the overhead of manual pentesting or false positives from static analysis tools.
In summary, Strix is a powerful open-source AI pentesting tool that simplifies vulnerability detection and remediation, making it an essential tool for anyone serious about application security - Automate your security testing with Strix and stay one step ahead of vulnerabilities!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/usestrix/strix
📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
──────────────────────────────
Introduction to Strix: Strix is an open-source AI pentesting tool that utilizes autonomous AI hackers to identify and fix vulnerabilities in applications. It provides a comprehensive pentesting toolkit, multi-agent orchestration, and real exploit validation, making it an ideal solution for developers and security teams.
Key Features:
- Full pentesting toolkit with reconnaissance, exploitation, and validation capabilities
- Multi-agent orchestration for collaborative and scalable pentesting
- Real exploit validation with working proof-of-concepts
- Developer-first CLI for actionable findings and remediation guidance
- Auto-fix and reporting capabilities for streamlined security testing
Usage Examples:```bash
# Scan a local codebase
strix --target ./app-directory
# Security review of a GitHub repository
strix --target https://github.com/org/repo
# Black-box web application assessment
strix --target https://your-app.com
```
Technical Highlights: Strix integrates seamlessly with GitHub Actions and CI/CD pipelines, allowing for automatic vulnerability scanning on every pull request. It also supports various LLM providers, including OpenAI, Anthropic, and Google.
Audience: Strix is designed for developers, security teams, and individuals who need fast and accurate security testing without the overhead of manual pentesting or false positives from static analysis tools.
In summary, Strix is a powerful open-source AI pentesting tool that simplifies vulnerability detection and remediation, making it an essential tool for anyone serious about application security - Automate your security testing with Strix and stay one step ahead of vulnerabilities!
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🧠 Channel: https://xn--r1a.website/GithubRe
🚀 Meet JuliusBrussee/caveman: a gem from today's GitHub trending list.
🔗 https://github.com/JuliusBrussee/caveman
📝 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
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The caveman GitHub repository is a game-changer for agents like Claude Code, Codex, and Gemini. Its primary purpose is to make these agents
To use caveman, simply install it using a one-line command, and then trigger it by typing
Some technical highlights of caveman include its ability to compress output tokens across 10 prompts, with an average reduction of 65%. The repository also includes benchmarks and a detailed explanation of how it works.
The target audience for caveman appears to be developers and users of various agents, including Claude Code, Codex, and Gemini.
Overall, caveman is a unique and useful tool that can revolutionize the way agents communicate.
Here's a punchy one-liner takeaway: Why use many tokens when a few can do the trick?
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/JuliusBrussee/caveman
📝 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
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The caveman GitHub repository is a game-changer for agents like Claude Code, Codex, and Gemini. Its primary purpose is to make these agents
talk like cavemen, cutting down on unnecessary words while maintaining technical accuracy. The key feature of caveman is its ability to compress output tokens by around 75%, resulting in faster and more readable responses. To use caveman, simply install it using a one-line command, and then trigger it by typing
/caveman or saying "talk like caveman". You can choose from different levels of "grunt" - lite, full, ultra, or wenyan (classical Chinese). Some technical highlights of caveman include its ability to compress output tokens across 10 prompts, with an average reduction of 65%. The repository also includes benchmarks and a detailed explanation of how it works.
The target audience for caveman appears to be developers and users of various agents, including Claude Code, Codex, and Gemini.
Overall, caveman is a unique and useful tool that can revolutionize the way agents communicate.
Here's a punchy one-liner takeaway: Why use many tokens when a few can do the trick?
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🧠 Channel: https://xn--r1a.website/GithubRe
📌 Spotted on GitHub Trending: msitarzewski/agency-agents — let's break it down.
🔗 https://github.com/msitarzewski/agency-agents
📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
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The Agency is a collection of AI agents, each with its own specialized expertise, personality, and deliverables. These agents are designed to be production-ready and can be used for various tasks, from
The repository provides multiple
The agents are categorized into divisions, such as
Here's a
The Agency is perfect for anyone looking to augment their workflow with specialized AI agents.
One-liner takeaway: The Agency puts a complete team of AI specialists at your fingertips, making it easier to deliver high-quality results without the hassle of hiring and managing a team.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/msitarzewski/agency-agents
📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
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The Agency is a collection of AI agents, each with its own specialized expertise, personality, and deliverables. These agents are designed to be production-ready and can be used for various tasks, from
frontend development to database optimization. The repository provides multiple
installation options, including a native desktop app for easy browsing and installation of agents. You can also use command-line scripts to install agents for specific tools like Claude Code or Gemini CLI. The agents are categorized into divisions, such as
engineering and design, making it easy to find the right agent for your needs. With The Agency, you can assemble your dream team of AI specialists and never have to worry about them sleeping, complaining, or not delivering. Here's a
quick example of how to install an agent using the command line:./scripts/install.sh --tool claude-code --division engineering
The Agency is perfect for anyone looking to augment their workflow with specialized AI agents.
One-liner takeaway: The Agency puts a complete team of AI specialists at your fingertips, making it easier to deliver high-quality results without the hassle of hiring and managing a team.
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🧠 Channel: https://xn--r1a.website/GithubRe
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🎯 hasaneyldrm/exercises-dataset landed on trending. Worth a proper look.
🔗 https://github.com/hasaneyldrm/exercises-dataset
📝 A comprehensive dataset of 433 fitness exercises. Each entry includes name, category, target muscle group, equipment, instructions, thumbnail image, and animation video.
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The exercises-dataset by hasaneyldrm is a comprehensive developer setup wizard and structured exercise dataset, featuring 1,324 exercises with detailed metadata and multilingual instructions in 6 languages. The dataset includes information on category, body part, equipment, target muscle, and step-by-step instructions for each exercise.
Key features of the dataset include:
- Interactive browser: A client-side exercise explorer with live search, filtering, and infinite scroll grid.
- Developer setup guide: A step-by-step guide for integrating the dataset into your own application, including database setup, API integration, and LLM-assisted backend generation.
From a technical standpoint, the dataset is in
This dataset is ideal for:
- Building fitness or workout planning applications
- Machine learning projects involving exercise recognition or recommendation
- Health and wellness research
- Educational demonstrations and prototypes
The dataset is suitable for developers, researchers, and fitness enthusiasts looking to create innovative applications or analyze exercise data.
One-liner takeaway: With the exercises-dataset, you can jumpstart your fitness app development and create a powerful exercise platform with a vast library of workouts and detailed instructions.
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/hasaneyldrm/exercises-dataset
📝 A comprehensive dataset of 433 fitness exercises. Each entry includes name, category, target muscle group, equipment, instructions, thumbnail image, and animation video.
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The exercises-dataset by hasaneyldrm is a comprehensive developer setup wizard and structured exercise dataset, featuring 1,324 exercises with detailed metadata and multilingual instructions in 6 languages. The dataset includes information on category, body part, equipment, target muscle, and step-by-step instructions for each exercise.
Key features of the dataset include:
- Interactive browser: A client-side exercise explorer with live search, filtering, and infinite scroll grid.
- Developer setup guide: A step-by-step guide for integrating the dataset into your own application, including database setup, API integration, and LLM-assisted backend generation.
From a technical standpoint, the dataset is in
JSON format and can be easily imported into various databases. The repository also includes an index.html file for interactive browsing and a setup.html file for developer setup.This dataset is ideal for:
- Building fitness or workout planning applications
- Machine learning projects involving exercise recognition or recommendation
- Health and wellness research
- Educational demonstrations and prototypes
The dataset is suitable for developers, researchers, and fitness enthusiasts looking to create innovative applications or analyze exercise data.
One-liner takeaway: With the exercises-dataset, you can jumpstart your fitness app development and create a powerful exercise platform with a vast library of workouts and detailed instructions.
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🧠 Channel: https://xn--r1a.website/GithubRe
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Github Top Repositories
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🔥 santifer/career-ops is trending — and it deserves your attention.
🔗 https://github.com/santifer/career-ops
📝 AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
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The Career-Ops GitHub repository is an open-source, AI-powered job search command center. It transforms any AI coding CLI into a personalized career agent, evaluating job offers, generating tailored CVs, and scanning job portals. The system uses a structured A-F scoring system and can process multiple job offers in parallel.
Key features include auto-pipeline, 6-block evaluation, interview story bank, negotiation scripts, and ATS PDF generation. To get started, simply run
Career-Ops is designed for job seekers who want to streamline their job search process and make informed decisions about their career. It's particularly useful for those who are overwhelmed by the numerous job opportunities available and need help filtering out the best fits.
With its ability to integrate with various AI coding CLIs, including Claude Code, OpenCode, and Antigravity CLI, Career-Ops offers a flexible and customizable solution for job seekers.
Here's an example of how to use Career-Ops:
In summary, Career-Ops is a powerful tool that can help job seekers land their dream role by providing a personalized and efficient job search experience. Automate your job search and get hired faster with Career-Ops — your new career sidekick!
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🧠 Channel: https://xn--r1a.website/GithubRe
🔗 https://github.com/santifer/career-ops
📝 AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
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The Career-Ops GitHub repository is an open-source, AI-powered job search command center. It transforms any AI coding CLI into a personalized career agent, evaluating job offers, generating tailored CVs, and scanning job portals. The system uses a structured A-F scoring system and can process multiple job offers in parallel.
Key features include auto-pipeline, 6-block evaluation, interview story bank, negotiation scripts, and ATS PDF generation. To get started, simply run
npx @santifer/career-ops init and follow the setup instructions.Career-Ops is designed for job seekers who want to streamline their job search process and make informed decisions about their career. It's particularly useful for those who are overwhelmed by the numerous job opportunities available and need help filtering out the best fits.
With its ability to integrate with various AI coding CLIs, including Claude Code, OpenCode, and Antigravity CLI, Career-Ops offers a flexible and customizable solution for job seekers.
Here's an example of how to use Career-Ops:
npx @santifer/career-ops init
cd career-ops
claude # or gemini / codex / qwen / opencode / agy / grok — open your AI CLI here
In summary, Career-Ops is a powerful tool that can help job seekers land their dream role by providing a personalized and efficient job search experience. Automate your job search and get hired faster with Career-Ops — your new career sidekick!
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🧠 Channel: https://xn--r1a.website/GithubRe
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