Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use

Nicholas Roth, Christopher Hidey, Lucas Spangher +6

In this paper, we propose a novel factored agent architecture designed to overcome the limitations of traditional single-agent systems in agentic AI. Our approach decomposes the ag…