An AI-powered Python tool for generating lunar visibility reports using LLMs (Large Language Models) such as Gemini, Groq, and LLaMA3 (via Ollama). Designed for astronomers, developers, and researchers interested in moon sighting, Hilal reports, and Islamic calendar computations.

Create new Java applications by describing what it needs to do in text

Communicate in Unity(also at runtime) with LLMs via Ollama in just two lines of code!

Unity Edtior tool to analyze your scripts via Ollama

This is a framework to support 14-15 year old students learning foreign languages (equivalent to 9th graders in Japan), along with their parents and teachers.

A lightweight TypeScript implementation of Plandex with multi-agent AI orchestration. Features 5 specialized agents (Planner, Coder, Architect, Reviewer, Summarizer) working together via Ollama endpoints. Plug-and-play setup with local AI models.

Cutting-edge semantic text processing system that uses hierarchical clustering and advanced language models to automatically organize and summarize large volumes of text.

Cutting-edge semantic text processing system that uses prompt engineering and advanced language models to generate high-quality hypothetical Q&A pairs for enhancing RAG pipelines and knowledge retrieval.