Published September 16, 2025 | Version 1.0.0
Software documentation Open

The Agent Hub Architecture: A Framework for Resilient, Efficient, and Specialized Multi-Agent AI Orchestration

Authors/Creators

  • 1. ROR icon Sunway University

Description

This paper presents a comprehensive analysis of the Agent Hub platform, an enterprise-grade AI orchestration system demonstrating significant advancements in multi-agent systems (MAS), operational resilience, and Large Language Model (LLM) efficiency. We analyze its architecture, founded on the Model Context Protocol (MCP) and featuring nine specialized Al agents in a distributed intelligence model. Our evaluation validates novel engineering patterns, including proactive token optimization and reactive multi-layered circuit breaking, achieving a 75% reduction in token consumption and 99.8% rate limit compliance. We establish quantitative metrics for performance, fault tolerance, and decision accuracy, demonstrating an 80% reduction in developer context switching and 90% faster security vulnerability detection. These technical achievements translate to measurable business impact with ROI calculations ranging from 180-300%, positioning Agent Hub as a blueprint for next-generation enterprise AI systems

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Additional details

Related works

Is supplemented by
Software: https://github.com/nathangtg/agent-hub (URL)

Software

Repository URL
https://github.com/nathangtg/agent-hub
Programming language
Python , TypeScript
Development Status
Active

References

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