This repository provides a trainable agent framework for role-playing using large language models. The system learns from generated experience data to embody specific characters with their knowledge and personalities. It introduces Experience Reconstruction, a data generation process that creates detailed experience data for training. Model weights for nine characters are released, trained via supervised fine-tuning.