The GENESIS Agent Toolkit for Simulink

DAF PEO Digital has also recognized that generative AI agents will be transformative in nearly all parts of military operations beginning with Simulation. ĀThis SBIR topic will help to inform the DAF about the potential of next-generation distributed agent frameworks to deliver compounded returns by enabling tens to hundreds of collaborative agents to collectively work together.ĀToday, while industry has produced many agent frameworks to extend the capabilities of generative AI, the focus has been on conceptual demonstrations to evaluate interacting agent capabilities in a single process.Ā While some of these are becoming quite elaborate and capable, they focus on single process / single code base frameworks that inherently lack the distributed agent/human collaboration that is a primary component to the vision of generative AI agents in the enterprise.Ā Further, these systems leave it up to individual developers to integrate these agents with relevant systems.ĀĀIn order to reap the substantial benefits of generative AI (Gen AI), industrial and academic research has shown the significant leap in performance from multiple collaborating agents.Ā Today, no such framework exists that will facilitate the development, testing, integration, and execution of large-scale heterogeneous agent-based systems.Ā We are proposing the first framework of its kind to deliver this capability to the DAF.