lazycook 1.0.1

LazyCook is an autonomous multi-agent conversational assistant designed to intelligently process user queries, manage documents, store conversations, and maintain iterative AI reasoning loops. It uses **Gemini 2.5 Flash** model with a **four-agent architecture** for high-quality responses and continuous learning.

LazyCook is an advanced multi-agent AI assistant that brings the power of Google’s Gemini models into a self-contained, autonomous Python application. It is designed for developers, researchers, and productivity enthusiasts who want an intelligent assistant that can chat, analyze, manage documents, track tasks, and evaluate quality — all locally. LazyCook operates on a four-agent architecture, where each agent specializes in a distinct stage of AI reasoning. Together, they create a loop of generation, analysis, optimization, and validation, resulting in high-quality, context-aware, and factually accurate responses. It maintains a persistent memory of user conversations, supports document uploads for contextual reference, and features real-time performance tracking, logging, and export tools