KiMO: Knowledge-infused Multi-agent Orchestrator

Multi-Agent Systems (MAS) provide a natural paradigm for solving complex problems requiring coordinated, multi-step reasoning and decision making. As these systems scale, effective agentic orchestration becomes crucial. While existing tools such as Agent- Flow and Agent Development Kit (ADK) support agent communication and task delegation, they remain limited in understanding task semantics, coordinating heterogeneous agent types (e. g. , reactive vs. cognitive), and aligning agent selection with domain knowledge and infrastructure constraints. We present KiMO, a knowledge-infused multi-agent orchestrator that makes coordination explicit through structured knowledge infusion: planning ontologies encode domain-specific task decompositions, and agent registries formalize capabilities and compatibility constraints for heterogeneous components. KiMO operationalizes these through a two-stage pipeline: ontology-guided sub-task planning (Plan- Gen)andregistry-guidedworkflowassembly(AgentGen). Thisdual knowledge infusion enables interpretable, flexible orchestration with human-inspectable coordination decisions. Our interactive platform demonstrates real-time workflow construction for manufacturing pipelines with expert refinement and dynamic knowledge extension. Code is available at https: //tinyurl. com/3es9zyhj and Demo Video at https: //tinyurl. com/yfa8ctwn.

Authors

• Ritvik Garimella University of South Carolina
• Michael Charles Stewart University of South Carolina
• Kevin Do University of South Carolina
• Leeon Israel University of South Carolina
• Amit Sheth University of South Carolina

Keywords

• Multi-agent orchestration
• Workflow construction
• Heterogeneity