High-Performance Implementation of Multi-Agent Web Systems: Integrating Vector Memory with Strictly Typed React Architectures

Mykhailo Nykoliuk

Citation: Mykhailo Nykoliuk, "High-Performance Implementation of Multi-Agent Web Systems: Integrating Vector Memory with Strictly Typed React Architectures", Universal Library of Engineering Technology, Volume 02, Issue 04.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper addresses the software engineering challenges of integrating autonomous agents into production-grade web applications. While traditional implementations suffer from high latency and state synchronization issues, this study presents a full-stack solution based on TypeScript and React 19 Server Components. This paper details the implementation of a RAMP (Reflect, Act, Memory, Plan) execution loop at the code level, using Qdrant to produce low-latency (<100ms) vectors and Next.js for server-side orchestration. A key engineering contribution is the development of a strictly typed data contract that synchronizes server-side agent reasoning with client-side state management (via TanStack Query). Experimental results confirm that this specific stack architecture significantly reduces response times and prevents runtime type errors, offering a reproducible pattern for building scalable, high-load web platforms.


Keywords: Full-Stack Engineering, Typescript, React Server Components, Vector Database Integration, Latency Optimization, Web Application Scalability, Qdrant.

Download doi https://doi.org/10.70315/uloap.ulete.2025.0204016