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VSPEC: Versatile & Scalable Platform for Efficient AI Agent Creation

  • Unique Paper ID: 180095
  • Volume: 12
  • Issue: 1
  • PageNo: 83-90
  • Abstract:
  • The proliferation of AI agents across industries has highlighted critical limitations in current development frameworks, including high technical barriers, integration complexity, and scalability bottlenecks. This paper presents V-SPEC (Versatile Platform for Scalable and Efficient AI Agent Creation), a novel framework designed to democratize AI agent development through visual program- ming interfaces and automated optimization systems. Through systematic analysis of 42 recent studies spanning 2022-2025, we identify key architectural challenges and propose innovative solutions via V-SPEC’s Model Context Protocol (MCP) server, hierarchical meta-agent system, and auto-prompt optimization engine. Our framework addresses the accessibility gap observed in platforms like LangChain and AutoGen by providing a no-code visual interface while maintaining enterprise-grade scalability. Preliminary benchmarks demonstrate 40% faster deployment cycles and 60% reduction in computational overhead compared to existing frameworks. The platform’s hierarchical agent architecture enables coordination of specialized sub- agents through standardized JSON-based communication protocols, facilitating seamless integration of diverse AI models and external services.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 1
  • PageNo: 83-90

VSPEC: Versatile & Scalable Platform for Efficient AI Agent Creation

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