Micro-Agent Collectives: A Scalable Architecture for Distributed Tool-Oriented Reasoning

Abstract

Micro-Agent Collectives are a lightweight and scalable distributed reasoning system to address the problem-solving processes in complex computational contexts through breaking down these processes into the lightweight, specialized agents with tool-oriented functionality. This architecture allows micro-agents to reason by allocating tasks, executing them parallel and coordinating them dynamically, unlike monolithic or heavy multi-agent systems, which can only allocate them sequentially, and resources can only be utilized when they exist, and are not limited by available resources. Agents have functional roles that are narrow, content to use tools external to them and mutual contextual signatures to derive joint solutions. The presented framework focuses on interoperability, fault tolerance, and explainability, which is why it is highly applicable to environments in which real-time decision-making and constant changes are to be implemented. Micro-Agent Collectives have the advantage of providing a realistic architectural paradigm that can be used to create intelligent systems with robust capabilities in both heterogeneous and large-scale environments by facilitating distributed tool-oriented reasoning.