#python #apple_silicon #inference_server #llm #macos #mlx #openai_api

# oMLX: Run AI Models Faster on Your Mac

oMLX is a tool that lets you run large language models directly on your Mac with Apple Silicon chips. It uses smart memory management—keeping frequently used models in RAM and storing less-used ones on your SSD—so everything runs smoothly without slowdowns. You control everything from a simple menu bar app or web dashboard. It works with many popular AI models and connects easily to coding tools like Claude Code. The benefit is you get powerful AI capabilities locally on your Mac without needing cloud services, saving money and keeping your data private while enjoying fast, responsive performance.

https://github.com/jundot/omlx

#python #academic_pipeline #academic_writing #ai_research #claude #claude_code #literature_review #peer_review #prompt_engineering

# Academic Research Skills for Claude Code

This is a comprehensive toolkit that helps you write research papers from start to finish. Instead of AI writing your paper alone, it works as your research partner—handling the tedious work like finding sources, checking citations, and organizing arguments, while you focus on the thinking and writing that only you can do.

The system includes four main tools: Deep Research (for finding and organizing information), Academic Paper (for writing), Academic Paper Reviewer (for getting feedback), and Academic Pipeline (which coordinates everything together). You can use individual tools or run the complete pipeline. It supports multiple languages, citation formats, and paper types. The toolkit emphasizes human control at every step—you make the final decisions, and the AI flags potential problems like hallucinated references or weak arguments. Installation takes 30 seconds via plugin marketplace, and it costs roughly $4–6 to write a complete 15,000-word paper.

https://github.com/Imbad0202/academic-research-skills