Introduction

WAFL is a framework for personal agents. It integrates Large language models, speech recognition and text to speech. This framework combines Large Language Models and rules to create a predictable behavior. A set of rules is used to define the behavior of the agent, supporting function calling and a working memory. The current version requires the user to specify the rules to follow.