MAAISep 8, 2025

HECATE: An ECS-based Framework for Teaching and Developing Multi-Agent Systems

arXiv:2509.06431v1h-index: 12
Originality Synthesis-oriented
AI Analysis

This addresses the problem of complex MAS development for engineers by providing a more accessible framework, though it appears incremental as it adapts existing ECS patterns to this domain.

The paper tackles the challenge of simplifying multi-agent system (MAS) development by introducing HECATE, a framework based on the Entity-Component-System (ECS) pattern that integrates agent concepts into distributed systems, reducing the need for specialized agent knowledge.

This paper introduces HECATE, a novel framework based on the Entity-Component-System (ECS) architectural pattern that bridges the gap between distributed systems engineering and MAS development. HECATE is built using the Entity-Component-System architectural pattern, leveraging data-oriented design to implement multiagent systems. This approach involves engineering multiagent systems (MAS) from a distributed systems (DS) perspective, integrating agent concepts directly into the DS domain. This approach simplifies MAS development by (i) reducing the need for specialized agent knowledge and (ii) leveraging familiar DS patterns and standards to minimize the agent-specific knowledge required for engineering MAS. We present the framework's architecture, core components, and implementation approach, demonstrating how it supports different agent models.

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