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
- 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.
Related papers
- Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence [115.91847478507736]
LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks.<n>Many tasks require heterogeneous expertise, interdependent subtasks, parallel execution, independent verification, and persistent state.<n>We call this System Intelligence: an agent system's ability to organize and coordinate multiple intelligent components into a coherent, adaptive whole.
arXiv Detail & Related papers (2026-08-21T14:27:57Z) - Distributed General-Purpose Agent Networks: Architecture, Key Mechanisms, and Prototypes [6.912160696802991]
This paper studies distributed general-purpose agent networks.<n>Unlike traditional P2P networks, agent networks must propagate semantic declarations about intentions, capabilities, states, and cooperation constraints.<n>We present a technical route, including bodyless gossip with sequential logs, BAID-based identity binding with MG-EigenTrust reputation, and a Stackelberg-style mechanism-generation loop driven by semantic attribution feedback.
arXiv Detail & Related papers (2026-06-15T23:57:13Z) - Toward a Modular Architecture for Embedded AI Agent Systems at the Edge [0.0]
This paper proposes a modular reference architecture for embedded agent systems.<n>We introduce a tiered design that decouples On-Device Agents and Cloud-Augmented Agents.<n>A key contribution is the integration of a cross-cutting Governance Layer.
arXiv Detail & Related papers (2026-06-01T20:24:18Z) - Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering [50.72456732323037]
We propose textbfSwarm Skills, a portable specification that extends the Anthropic Skills standard with multi-agent semantics.<n>Swarm Skills turns multi-agent into first-class, distributable assets that consist of roles, execution bounds, and a built-in semantic structure for self-evolution.<n>We show how Swarm Skills achieves zero-adapter cross-agent portability via progressive disclosure, enabling agent teams to self-evolve their coordination strategies without framework lock-in.
arXiv Detail & Related papers (2026-05-11T06:26:58Z) - The Auton Agentic AI Framework [5.410458076724158]
The field of Artificial Intelligence is undergoing a transition from Generative AI to Agentic AI.<n>This transition exposes a fundamental architectural mismatch: Large Language Models (LLMs) produce unstructured outputs, whereas the backend infrastructure they must control requires deterministic, schema-conformant inputs.<n>The present paper describes the Auton Agentic AI Framework, a principled architecture for the creation, creation, and governance of autonomous agent.
arXiv Detail & Related papers (2026-02-27T06:42:08Z) - Beyond Context Sharing: A Unified Agent Communication Protocol (ACP) for Secure, Federated, and Autonomous Agent-to-Agent (A2A) Orchestration [0.0]
This paper introduces the Agent Communication Protocol (ACP)<n>ACP provides a standardized framework for Agent-to-Agent interaction.<n>ACP reduces inter-agent communication latency by % while maintaining a zero-trust security posture.
arXiv Detail & Related papers (2026-02-11T17:02:12Z) - Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction [117.6380005194061]
We introduce a method designed to systematically scale the diversity and complexity of interactive environments.<n>Our method realizes this scaling by addressing three dimensions.<n>We train Nex-N1 upon the diverse and complex interactive environments established by our infrastructure.
arXiv Detail & Related papers (2025-12-04T16:57:02Z) - Agentifying Agentic AI [4.40254362206179]
Agentic AI seeks to endow systems with sustained autonomy, reasoning, and interaction capabilities.<n>To realize this vision, its assumptions about agency must be complemented by explicit models of cognition, cooperation, and governance.
arXiv Detail & Related papers (2025-11-21T15:54:44Z) - AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications [95.42093979627703]
AgentScope supports flexible and efficient tool-based agent-environment interactions.<n>We ground agent behaviors in the ReAct paradigm and offer advanced agent-level infrastructure.<n>AgentScope also includes robust engineering support for developer-friendly experiences.
arXiv Detail & Related papers (2025-08-22T10:35:56Z) - Using the NANDA Index Architecture in Practice: An Enterprise Perspective [9.707223291705601]
The proliferation of autonomous AI agents represents a paradigmatic shift from traditional web architectures toward collaborative intelligent systems.<n>This paper presents a comprehensive framework addressing the fundamental infrastructure requirements for secure, trustworthy, and interoperable AI agent ecosystems.
arXiv Detail & Related papers (2025-08-05T05:27:27Z) - Agentic Web: Weaving the Next Web with AI Agents [109.13815627467514]
The emergence of AI agents powered by large language models (LLMs) marks a pivotal shift toward the Agentic Web.<n>In this paradigm, agents interact directly with one another to plan, coordinate, and execute complex tasks on behalf of users.<n>We present a structured framework for understanding and building the Agentic Web.
arXiv Detail & Related papers (2025-07-28T17:58:12Z) - Distinguishing Autonomous AI Agents from Collaborative Agentic Systems: A Comprehensive Framework for Understanding Modern Intelligent Architectures [0.0]
The emergence of large language models has catalyzed two distinct yet interconnected paradigms in artificial intelligence: standalone AI Agents and collaborative Agentic AI ecosystems.<n>This study establishes a definitive framework for distinguishing these architectures through systematic analysis of their operational principles, structural compositions, and deployment methodologies.
arXiv Detail & Related papers (2025-06-02T08:52:23Z) - Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review [0.9208007322096533]
The study revisits well-established patterns, including Mediator, Observer, Publish-Subscribe, and Broker.<n>The article concludes by outlining open challenges, potential security risks, and promising directions for advancing robust, interoperable, and scalable multi-agent ecosystems.
arXiv Detail & Related papers (2025-05-26T09:11:17Z) - Internet of Agents: Fundamentals, Applications, and Challenges [66.44234034282421]
We introduce the Internet of Agents (IoA) as a foundational framework that enables seamless interconnection, dynamic discovery, and collaborative orchestration among heterogeneous agents at scale.<n>We analyze the key operational enablers of IoA, including capability notification and discovery, adaptive communication protocols, dynamic task matching, consensus and conflict-resolution mechanisms, and incentive models.
arXiv Detail & Related papers (2025-05-12T02:04:37Z) - Moving From Monolithic To Microservices Architecture for Multi-Agent Systems [0.0]
The transition from monolithic to architecture revolutionized software development by improving scalability and maintainability.<n>This review article explores the evolution from monolithic architecture to architecture in the specific context of multi-agent systems.
arXiv Detail & Related papers (2025-05-05T09:10:46Z) - Adaptive Orchestration of Modular Generative Information Access Systems [59.102816309859584]
We argue that the architecture of future modular generative information access systems will not just assemble powerful components, but enable a self-organizing system.<n>This perspective urges the IR community to rethink modular system designs for developing adaptive, self-optimizing, and future-ready architectures.
arXiv Detail & Related papers (2025-04-24T11:35:43Z) - Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence [79.5316642687565]
Existing multi-agent frameworks often struggle with integrating diverse capable third-party agents.
We propose the Internet of Agents (IoA), a novel framework that addresses these limitations.
IoA introduces an agent integration protocol, an instant-messaging-like architecture design, and dynamic mechanisms for agent teaming and conversation flow control.
arXiv Detail & Related papers (2024-07-09T17:33:24Z) - AgentScope: A Flexible yet Robust Multi-Agent Platform [66.64116117163755]
AgentScope is a developer-centric multi-agent platform with message exchange as its core communication mechanism.
The abundant syntactic tools, built-in agents and service functions, user-friendly interfaces for application demonstration and utility monitor, zero-code programming workstation, and automatic prompt tuning mechanism significantly lower the barriers to both development and deployment.
arXiv Detail & Related papers (2024-02-21T04:11:28Z) - Conceptual Framework for Autonomous Cognitive Entities [0.9285295512807729]
This paper introduces the Autonomous Cognitive Entity model, a novel framework for a cognitive architecture.
The model is designed to harness the capabilities of the latest generative AI technologies, including large language models (LLMs) and multimodal generative models (MMMs)
The ACE framework also incorporates mechanisms for handling failures and adapting actions, thereby enhancing the robustness and flexibility of autonomous agents.
arXiv Detail & Related papers (2023-10-03T15:53:55Z) - Learning Structured Communication for Multi-agent Reinforcement Learning [104.64584573546524]
This work explores the large-scale multi-agent communication mechanism under a multi-agent reinforcement learning (MARL) setting.
We propose a novel framework termed as Learning Structured Communication (LSC) by using a more flexible and efficient communication topology.
arXiv Detail & Related papers (2020-02-11T07:19:45Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.