Welcome to my AI GENERATED list of interesting repositories in the fields of Generative AI, Artificial Intelligence, and Data Science. As an AI Engineer & Product Development Specialist in these areas, I've compiled this list to help developers, researchers, and enthusiasts stay up-to-date with the latest advancements and tools.
This GitHub landing page is automatically updated every day by AI to showcase my latest interests and discoveries in the fields of AI, Machine Learning, and Data Science.
Here's how it works:
- Automated Updates: The repository list you see below is automatically updated daily using GitHub Actions that I've set up to run the AI pipeline.
- Starred Repositories: The content is based on my GitHub starred repositories, reflecting my current interests and valuable finds in the tech world.
- AI-Powered Organization: An AI model (GPT-4o) is used to categorize and organize the repositories, ensuring that the list remains well-structured and informative.
- Minimal Manual Intervention: Once set up, this page requires little to no manual updating. All I need to do is star a new repo, and it will automatically be categorized and added to this document. When I remove a repo from my starred list, the AI automatically removes it from this page.
Why use AI for this?: The key thing that the LLM-based solution is doing is dynamically deciding what categories should exist on this page and how to group my starred repos into those categories. It also reassesses and changes the categories and groupings over time as the starred repos change. It does all of this without the need for me to decide in advance what categories it should consider or to pre-train the model on categories. Implementing this algorithm is extremely simple compared to implementing a solution with a more traditional ML/AI approach that doesn't have the NLP reasoning capabilities of an LLM.
- Artificial Intelligence
- MLOps & AI Infrastructure
- Developer Tools
- Video and Audio
- Other
- How to Implement This Landing Page On Your Own GitHub
- 🌟 Contributing
- 📄 License
- GoogleCloudPlatform/agent-starter-pack - A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution.
- daveebbelaar/ai-cookbook - Examples and tutorials to help developers build AI systems.
- al3rez/ooda-subagents - OODA Loop AI Agents - Observe, Orient, Decide, Act framework for systematic problem-solving. Built by AstroMVP to help startups ship AI products fast 🚀.
- Alibaba-NLP/WebAgent - 🌐 WebAgent for Information Seeking built by Tongyi Lab: WebWalker & WebDancer & WebSailor & WebShaper.
- 567-labs/instructor - Structured outputs for llms.
- ramakay/claude-self-reflect - Enable Claude to self reflect.
- QwenLM/Qwen3-Coder - Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
- NirDiamant/agents-towards-production - This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents.
- ByteDance-Seed/m3-agent - None
- BloopAI/vibe-kanban - Kanban board to manage your AI coding agents.
- automazeio/ccpm - Project management system for Claude Code using GitHub Issues and Git worktrees for parallel agent execution.
- SWE-agent/mini-swe-agent - The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores 68% on SWE-bench verified!
- ixartz/Next-js-Boilerplate - 🚀🎉📚 Boilerplate and Starter for Next.js 15 with App Router and Page Router support, Tailwind CSS 4 and TypeScript ⚡️ Made with developer experience first.
- musistudio/claude-code-router - Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
- ryoppippi/ccusage - A CLI tool for analyzing Claude Code usage from local JSONL files.
- Pimzino/claude-code-spec-workflow - Automated workflows for Claude Code. Features spec-driven development for new features (Requirements → Design → Tasks → Implementation) and streamlined bug fix workflow for quick issue resolution (Report → Analyze → Fix → Verify).
- ag-ui-protocol/ag-ui - AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
- ruvnet/claude-flow - Claude-Flow v2.0.0 Alpha represents a leap in AI-powered development orchestration. Built from the ground up with enterprise-grade architecture, advanced swarm intelligence, and seamless Claude Code integration.
- FFmpeg/FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git.
- Zulko/moviepy - Video editing with Python.
- pytube/pytube - A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
- shamspias/YouTubeVideoSegmentDownloader - YouTubeVideoSegmentDownloader is a Python tool to download and extract specific segments from YouTube videos.
- campfirein/cipher - Cipher is an opensource memory layer specifically designed for coding agents.
- huggingface/responses.js - A lightweight express.js server implementing OpenAI’s Responses API, built on top of Chat Completions.
- memgraph/memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
- google/langextract - A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
- zaidmukaddam/scira - Scira (Formerly MiniPerplx) is a minimalistic AI-powered search engine.
- presenton/presenton - Open-Source AI Presentation Generator and API (Gamma, Beautiful AI, Decktopus Alternative).
- NEWBIE0413/gemini-gpt-hybrid - None
- run-llama/semtools - Semantic search and document parsing tools for the command line.
This project automatically updates the README with your GitHub starred repositories using a Python script and GitHub Actions.
git clone https://github.com/your-username/github-genai-list.git
cd github-genai-list
python --version
python -m pip install --upgrade pip
pip install -r requirements.txt
Go to your GitHub repository settings, and under Secrets and variables > Actions, create the following secrets:
In the update_readme.py script located in the scripts/ directory, replace "YourGitHubUsername" with your actual GitHub username.
python scripts/update_readme.py
git add . git commit -m "Updated project structure" git push origin main
Note: This landing page uses OpenAI's GPT-4o model. Make sure you comply with OpenAI's use-case policies and monitor your API usage to manage costs.
Feel free to open a pull request if you have any suggestions for additions or improvements to this list. Let's collaborate to keep this resource up-to-date and valuable for the community!
This project is licensed under the MIT License - see the LICENSE.md file for details.
📊 Last edited: 2025-09-02
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