# DATAGEN

A multi-agent AI platform for data analysis and research that automates hypothesis generation, data cleaning, visualization and report writing using LangChain, OpenAI models and LangGraph.

DATAGEN is an AI-powered data analysis and research platform that uses multiple specialized agents to automate tasks such as hypothesis generation, data cleaning and transformation, visualization and report writing. It combines LangChain, OpenAI's GPT models and LangGraph to coordinate the different agents through a research pipeline.

Its hypothesis engine generates and validates research directions and refines them in real time; its data-processing agents clean and transform data through scalable pipelines with automated quality checks; and its visualization agents produce interactive charts and automated reports with extracted insights. A dedicated Note Taker agent tracks state and retains context so the different agents can hand off work to each other across the analysis pipeline.

It requires Python 3.10 or newer and is installed by cloning the repository.

Website: https://github.com/zi-yue-1129/DATAGEN