Roy is a lightweight alternative to autogen for developing advanced multi-agent systems using language models. It aims to simplify and democratize the development of emergent collective intelligence.

Features

Model Agnostic: Use any LLM, no external APIs required. Defaults to a 4-bit quantized wizard-coder-python model for efficiency.

Modular and Composable: Roy decomposes agent interactions into… See the full description on the dataset page: https://huggingface.co/datasets/JosefAlbers/Roy.