Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Harsh Kashyap

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

InvestorNerd: An Investment and Financial Insights System Based on User Profiles

InvestorNerd is a web-based platform (investornerd.org) designed to educate and democratize financial understanding by providing accessible, AI-powered investment and personal finance insights tailored to potential user profiles. The system addresses a key challenge in helping everyday individuals, especially those wit...

J. Castillo, R. Gautam, Xin-Yuan Wang et al. · 0 citations
Open access Jul 2026

CustomNerd: A Framework and Tool for Fast Deployment of Production-Ready Expertise-Based Question Answering Systems

This paper describes how the CustomNerd system can be used to build an expertise-driven application through a running example, explains the system’s architecture, discusses related work, and evaluates CloudNerd on a 120-question Stack Overflow benchmark against OpenDeepResearch and AutoGPT using semantic textual simila...

Harsh Kashyap, Shela Wu, Daksh Agarwal et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.