Defining and Deploying Agentic Swarms with the BESSER Low-Code Platform

Abstract

Complex software engineering tasks increasingly rely on agentic swarms, i.e., multi-agent systems in which specialized agents reason, plan, and act collaboratively to decompose a problem, propose solutions, review each other’s work, and converge on a decision. Today, such swarms are typically built directly in framework code, or with no-code tools that capture only the workflow, leaving per-agent capabilities and confidence, decision policies at merge points, and deployment without explicit, first-class abstractions. We argue that engineering agentic swarms calls for model-driven abstractions that span four complementary levels of granularity: the whole swarm, the process within a swarm, the merge point within a process, and the individual agent. In this demo we present an end-to-end approach on top of the open-source BESSER low-code platform that realizes these levels through four cross-referenced models, i.e., an agentic BPMN process, a state-machine-based Agent diagram, and UML Component and Deployment diagrams, authored in a web-based modeling editor. From the Deployment diagram, the fully specified swarm is generated and deployed to a Docker engine. We demonstrate the approach with a bug-fixing swarm composed of an Analyzer, two Solvers, and a Reviewer.