This Python tool transforms a local LLM into an automated researcher by having it decompose user queries into prioritized focus areas. The agent then formulates search queries, scrapes relevant websites, documents findings with source links, and iterates on new focus areas based on discovered content. Once all research is complete, it synthesizes a comprehensive summary. The system uses Ollama to run models locally and manages the full research workflow autonomously.