GitHub Hot — 14 July 2026

Top 10 repos trending on GitHub this week — what they do, why they matter, and how to use them in your projects.

1. withmarbleapp/os-taxonomy

3,037 stars this week · JavaScript

This repo provides a structured, graph-based taxonomy of primary/elementary school learning topics, enabling precise tracking of educational prerequisites and mastery.

Use case

For an ed-tech platform, this solves the problem of mapping fragmented curriculum standards into a unified, dependency-aware knowledge graph. For example, if a student struggles with 'Fractions,' the graph reveals all prerequisite concepts (e.g., 'Basic Division') and their relationships, allowing for targeted remediation.

Why it's trending

It's trending because of the growing demand for structured educational data in AI-driven learning platforms, especially as remote and hybrid learning models require granular progress tracking.

How to use it

1. Clone the repo and explore the data/ directory, which contains JSON files for each subject (e.g., science.json).,2. Use the id and prerequisites fields to build a graph structure. For example, in JavaScript:, javascript, const scienceData = require('./data/science.json');, const topic = scienceData.find(t => t.id === 'science-123');, console.log(topic.prerequisites); // Logs dependent topics, ,3. Visualize the graph using a library like D3.js or Cytoscape.js to create interactive learning pathways.

How I could use this

1. Henry could integrate this taxonomy into his blog to create an interactive 'Learning Path' feature, where readers can explore how different educational topics connect and build on each other.
2. For career tools, Henry could use this taxonomy to build a 'Skill Gap Analyzer' for educators or tutors, helping them identify missing foundational skills in students' knowledge.
3. For AI features, Henry could train a model on this structured data to generate personalized learning recommendations or adaptive quizzes based on a user's mastery level.

2. Robbyant/lingbot-world-v2

1,099 stars this week · Python

LingBot-World v2 enables real-time, interactive world simulations with diverse actions and agent-driven behaviors, ideal for dynamic content generation.

Use case

This solves the problem of creating dynamic, interactive environments for AI-driven applications like virtual assistants or gaming NPCs. For example, a developer could use it to simulate a virtual world where characters respond to user inputs in real-time, enabling immersive storytelling or interactive tutorials.

Why it's trending

It's trending due to its breakthrough in real-time interaction capabilities and the integration of agentic harnesses, which are currently hot topics in AI and gaming communities.

How to use it

1. Install the required dependencies: pip install -r requirements.txt,2. Download the pre-trained model from HuggingFace or ModelScope.,3. Load the model and initialize the environment:,python,from lingbot_world import LingBotWorld,model = LingBotWorld.load_model('path/to/model'),env = LingBotWorld.initialize_environment(model),,4. Start the simulation and interact with the environment using the provided API.

How I could use this

1. Henry could integrate LingBot-World v2 into his blog to create interactive tutorials where users can explore a virtual world to learn about different technologies or concepts.
2. For career tools, Henry could use LingBot-World v2 to simulate interview scenarios, where users can practice and receive real-time feedback from AI-driven interviewers.
3. For AI features, Henry could develop a dynamic storytelling feature where users can interact with characters in a virtual world, creating personalized and engaging narratives.

3. x4gKing/3x-ui-Upgrade

1,024 stars this week · HTML

This repo simplifies deploying a Heimdall panel with VLESS/WebSocket support on Railway using a single port, ideal for developers needing a lightweight proxy solution.

Use case

Solves the problem of deploying a proxy panel with VLESS/WebSocket support on Railway without complex port configurations. For example, a developer needing a quick, secure proxy setup for testing or small-scale projects can use this to avoid manual nginx configurations and port management.

Why it's trending

Trending due to the increasing need for simplified proxy setups on Railway, especially for developers looking to quickly deploy secure, lightweight proxy solutions without extensive DevOps knowledge.

How to use it

Create a new GitHub repository and add the Dockerfile, nginx.conf.template, and start.sh files from this repo.,In Railway, create a new project and deploy from the GitHub repo. Railway will automatically build the Dockerfile.,After deployment, go to Settings → Networking in Railway, generate a domain, and ensure the target port is set to 3000.,Access the panel at https://your-domain.up.railway.app/managepanel/ with the default credentials admin/admin and change them immediately.,Create an inbound with VLESS protocol, port 8080, and a custom path like /cdn to generate client links.

How I could use this

1. Henry could use this setup to create a secure, lightweight proxy for his blog's API calls, ensuring privacy and security for user data.
2. For career tools, Henry could deploy a proxy to securely fetch and aggregate job listings from multiple sources without exposing his backend.
3. In AI projects, Henry could use this proxy to manage and secure API calls to external AI services, ensuring data privacy and reducing latency.

4. MDX-Tom/gpt-5.6-instruct

986 stars this week · Python

This repo provides jailbreak prompts and testing tools to bypass restrictions in gpt-5.6-sol, enabling unrestricted model outputs for security research and testing.

Use case

Security researchers and developers working with gpt-5.6-sol can use this to test model robustness and bypass safety filters for controlled experiments. For example, a penetration tester could use these prompts to evaluate how the model handles sensitive tasks without triggering ethical restrictions.

Why it's trending

The recent release of gpt-5.6-sol and its enhanced safety measures has sparked interest in testing its limits, making this repo highly relevant for those exploring model vulnerabilities.

How to use it

1. Clone the repository: git clone https://github.com/MDX-Tom/gpt-5.6-instruct.git,2. Navigate to the directory: cd gpt-5.6-instruct,3. Run the deployment script: python3 codex-instruct.py --dry-run,4. Deploy to Codex home: python3 codex-instruct.py,5. Use the provided prompts and scripts to test the model.

How I could use this

1. Henry could integrate these jailbreak prompts into his blog's AI-powered content generation, allowing for controlled experiments in generating unrestricted content for specific use cases.
2. For career tools, Henry could use these prompts to test and improve AI-generated cover letters and resumes, ensuring they bypass common restrictions and filters.
3. In AI features, Henry could implement a 'sandbox mode' in his blog where users can experiment with unrestricted AI outputs, using these prompts to demonstrate the capabilities and limitations of AI models.

5. vinhhien112/Three.js-Object-Sculptor-Codex-Plugin

961 stars this week · Python

This repo turns 2D images into code-generated 3D models for web apps, solving the problem of quickly creating custom 3D assets without complex modeling tools.

Use case

When Henry wants to add interactive 3D visualizations to his blog posts (like a 3D model of a tech stack or a rotating book cover), but doesn't have the time or skills to create these models from scratch in Blender. This plugin lets him upload a reference image and generate a Three.js model directly in his Next.js app.

Why it's trending

Three.js is gaining traction in web development for interactive 3D content, and this plugin simplifies the workflow by leveraging AI to bridge the gap between 2D and 3D.

How to use it

1. Install the plugin in your project: npm install threejs-object-sculptor,2. Upload a reference image (e.g., a book cover or tech logo) to your Next.js app.,3. Use the plugin to generate a Three.js model:,javascript,import { sculptObject } from 'threejs-object-sculptor';,const modelCode = await sculptObject('path/to/image.jpg');,,4. Render the model in your React component using Three.js.

How I could use this

1. Create a 3D visualization of Henry's blog posts as rotating books on a shelf, where each book represents a post and can be clicked to read.
2. Build an interactive 3D resume where each section (skills, experience) is a 3D object that can be explored in a virtual space.
3. Use the plugin to generate 3D models of AI-generated art from Henry's blog, allowing readers to interact with the art in 3D space.

6. littledivy/mimic

896 stars this week · Python

Mimic lets you reverse-engineer mobile app APIs into Python clients by intercepting traffic and generating code with AI.

Use case

When building integrations with closed APIs (like dating apps or private social networks), mimic lets you bypass manual reverse-engineering by capturing real traffic and generating a working client. For example, if Henry wanted to analyze Hinge match patterns, he could use mimic to generate a client without writing a single request handler.

Why it's trending

It's trending because it combines two powerful trends: AI-assisted code generation and API reverse-engineering, making it easier than ever to interact with closed systems programmatically.

How to use it

1. Install mimic via sh install.sh (uses uv for isolation).,2. Run mimic doctor to verify proxy and AI setup.,3. Start recording traffic with mimic record and follow the iPhone proxy setup steps.,4. Use the app normally while mimic captures traffic.,5. Generate a client with mimic generate and use it like this:

How I could use this

1. Henry could use mimic to reverse-engineer the API of a niche social platform (like a writing community) and build a tool that cross-posts his blog content automatically.
2. For career tools, he could generate a client for a job platform’s private API to scrape personalized job recommendations and match them with his resume keywords.
3. For AI features, he could intercept traffic from a proprietary AI chat app, generate a client, and use it to fine-tune responses for his blog’s comment section.

7. mereyabdenbekuly-ctrl/clodex-ide

801 stars this week · TypeScript · agentic-ai agentic-ide ai-agents developer-tools

Clodex is a local-first, zero-trust agentic IDE that enables verifiable autonomous software development.

Use case

Clodex solves the problem of trusting AI-generated code by providing a governed execution environment. For example, a developer can use Clodex to autonomously generate and verify code snippets without risking security vulnerabilities or unintended side effects, as all model outputs are treated as untrusted input and subjected to explicit policy checks.

Why it's trending

It's trending because of the increasing need for secure, autonomous development environments that can handle AI-generated code safely. The recent focus on AI safety and governance makes Clodex particularly relevant.

How to use it

Install Node.js 22.23.1 and pnpm 10.30.3.,Clone the repository and install dependencies using pnpm install.,Run the application with pnpm dev to start the Electron workspace.,Configure your AI models and policies in the settings.,Start creating and verifying AI-generated code in a secure environment.

How I could use this

1. Henry could integrate Clodex into his blog to demonstrate how to safely generate and verify AI-powered code snippets, providing readers with a secure development environment.
2. For career tools, Henry could use Clodex to create a secure, autonomous resume matcher that generates and verifies code-based resume templates without risking security vulnerabilities.
3. For AI features, Henry could leverage Clodex to build an AI-powered code review system that autonomously generates and verifies code improvements, ensuring they meet security and governance standards.

8. Robbyant/lingbot-video

784 stars this week · Python · image-to-video lingbot-video video-generation world-models

LingBot-Video is an open-source MoE video generation model that bridges video synthesis with physical world understanding, enabling realistic and context-aware video generation.

Use case

LingBot-Video solves the problem of generating realistic videos that understand and interact with physical environments. For example, a developer building an AI-powered blog could use this to create dynamic, context-aware video content that responds to user interactions or environmental changes, enhancing user engagement and providing a more immersive experience.

Why it's trending

The recent release of the technical report, code, and models has made LingBot-Video accessible to a broader audience. Its efficient MoE architecture and integration with embodied data make it a cutting-edge tool for video generation, attracting attention from developers and researchers alike.

How to use it

1. Install the required dependencies: pip install torch transformers,2. Download the LingBot-Video model from Hugging Face or ModelScope.,3. Load the model and generate a video from text:,python,from transformers import AutoModelForCausalLM, AutoTokenizer,,model = AutoModelForCausalLM.from_pretrained("robbyant/lingbot-video-dense-1.3b"),tokenizer = AutoTokenizer.from_pretrained("robbyant/lingbot-video-dense-1.3b"),,inputs = tokenizer("A person walking in a park", return_tensors="pt"),outputs = model.generate(**inputs),video = model.decode_video(outputs),,4. Integrate the generated video into your application or blog.

How I could use this

1. Henry could use LingBot-Video to create dynamic video backgrounds for his blog posts, where the video content adapts based on the post's topic or user interactions.
2. For career tools, Henry could develop a resume matcher that generates a personalized video introduction for job applications, highlighting key skills and experiences in a visually engaging way.
3. In AI projects, Henry could use LingBot-Video to create interactive tutorials or demonstrations, where the video content changes based on user input or environmental data, providing a more immersive learning experience.

9. AlephAITech/WorkBuddyGuide

677 stars this week · Python · codex guide llm workbuddy

A practical guide for integrating WorkBuddy AI workflows into real-world tasks, with a focus on automation and multi-agent systems.

Use case

This repo solves the problem of integrating AI workflows into practical, real-world tasks by providing a structured guide. For example, a developer can use it to automate content generation and management for a blog, streamlining tasks like drafting, editing, and publishing posts.

Why it's trending

It's trending due to the increasing demand for practical AI integration guides, especially with the rise of multi-agent systems and automation in workflows.

How to use it

1. Visit the online guide at workbuddy.homes for a complete reading experience.,2. Start with the first chapter to set up WorkBuddy and complete your first task.,3. Explore the second section for case studies relevant to your specific tasks.,4. Use the provided code snippets and workflows to integrate WorkBuddy into your projects.,5. Contribute your own case studies or improvements via GitHub.

How I could use this

1. Henry could use WorkBuddy to automate the drafting and editing process for his blog posts, integrating it with his Next.js setup to streamline content creation.
2. For career tools, Henry could develop a resume matcher that uses WorkBuddy to analyze job descriptions and tailor resumes accordingly, leveraging the multi-agent system for different sections of the resume.
3. Henry could implement a multi-agent AI system in his blog to handle different tasks such as content generation, SEO optimization, and reader engagement, using WorkBuddy to manage and coordinate these agents.

10. x4gKing/Marzban-Panel

629 stars this week · Dockerfile

This repo provides a streamlined Docker deployment for Marzban, a VPN management panel, optimized for Railway with automatic updates and minimal setup.

Use case

Solves the problem of deploying and maintaining a VPN management panel with ease. For example, a developer needing a secure, self-hosted VPN for remote work can deploy Marzban without worrying about manual updates or complex configurations.

Why it's trending

It's trending because it simplifies the deployment of Marzban on Railway, a popular hosting platform, and ensures the latest version is always used, which is crucial for security and performance.

How to use it

Fork the repository on GitHub.,In Railway, create a new project and deploy from the forked GitHub repo.,Wait for the build to complete (this may take a few minutes).,Optionally, set the SUDO_USERNAME and SUDO_PASSWORD environment variables in Railway to create an admin user automatically.,Access the Marzban panel through the provided Railway URL.

How I could use this

1. Henry could use this to create a secure, private VPN for accessing his blog's admin panel, ensuring that only he can make changes to his content.
2. Henry could integrate this VPN setup into a career tool that allows users to securely access job application resources and resume templates.
3. Henry could use the VPN management panel as part of an AI-powered feature that securely connects users to different geographic locations for localized content or job searches.