  A multitude of agent-oriented software engineering frameworks exist, most of
which are developed by the academic multi-agent systems community. However,
these frameworks often impose programming paradigms on their users that are
challenging to learn for engineers who are used to modern high-level
programming languages such as JavaScript and Python. To show how the adoption
of agent-oriented programming by the software engineering mainstream can be
facilitated, we provide a lean JavaScript library prototype for implementing
reasoning-loop agents. The library focuses on core agent programming concepts
and refrains from imposing further restrictions on the programming approach. To
illustrate its usefulness, we show how the library can be applied to
multi-agent systems simulations on the web, deployed to cloud-hosted
function-as-a-service environments, and embedded in Python-based data science
tools.
