MOD-X: A Modular Open Decentralized eXchange Framework proposal for Heterogeneous Interoperable Artificial Intelligence Agents

• URL: http://arxiv.org/abs/2507.04376v2
• Date: Tue, 08 Jul 2025 02:48:45 GMT
• Title: MOD-X: A Modular Open Decentralized eXchange Framework proposal for Heterogeneous Interoperable Artificial Intelligence Agents
• Authors: Georgios Ioannides, Christos Constantinou, Vinija Jain, Aman Chadha, Aaron Elkins,
• Abstract summary: This paper introduces MOD-X, a novel architectural framework proposal for agent interoperability.<n>Unlike current approaches, MOD-X proposes a layered architecture with a Universal Message Bus.<n>Key innovations include a publish-subscribe communication model, semantic capability discovery, and dynamic workflow orchestration.
• Score: 0.7864304771129751
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: As Artificial Intelligence systems evolve from monolithic models to ecosystems of specialized agents, the need for standardized communication protocols becomes increasingly critical. This paper introduces MOD-X (Modular Open Decentralized eXchange), a novel architectural framework proposal for agent interoperability that addresses key limitations of existing protocols. Unlike current approaches, MOD-X proposes a layered architecture with a Universal Message Bus, thorough state management, translation capabilities, and blockchain-based security mechanisms. We present MOD-X's architecture, compare it with existing protocols, and demonstrate its application through a worked example how it enables integration between heterogeneous specialist agents (agents with different architectures, vendors, capabilities, and knowledge representations--including rule-based systems, neural networks, symbolic reasoning engines, and legacy software with agent wrappers). MOD-X's key innovations include a publish-subscribe communication model, semantic capability discovery, and dynamic workflow orchestration--providing a framework that bridges theoretical formalism with practical implementation. This architecture addresses the growing need for truly decentralized, interoperable agent ecosystems that can scale effectively without the need for central coordination.

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