Dynamic agent runtime engine for configurable multi-agent pipelines

Abstract

A dynamic agent runtime engine (DARE) instantiates, orchestrates, and governs multiple types of software, LLM-based agents in an enterprise computing environment. Agents are declaratively defined by human-readable configuration files that specify parameters such as role, inputs, outputs, orchestration directives, governance requirements, and enterprise-specific content. Based on these files, the DARE instantiates runtime agent processes and couples them to enterprise systems of record. Two categories of agents are supported: dynamic agents, instantiated ephemerally in volatile memory to perform non-state-changing operations under pooled governance, and apply agents, instantiated persistently to perform state-changing operations under individual lifecycle governance. Human-in-the-loop directives, customizable content fields, and declarative non-functional requirements may also be enforced. This architecture reduces redeployment overhead, improves scalability, ensures security and compliance, and provides predictable, auditable execution across heterogeneous enterprise pipelines.