Natural-Language Agent Harnesses
Overview
We propose Natural-Language Agent Harnesses (NLAHs), which externalize the high-level control logic of agent harnesses as portable, editable natural-language artifacts, and Intelligent Harness Runtime (IHR), a shared runtime that executes these harnesses through explicit contracts, durable artifacts, and lightweight adapters. Controlled evaluations across coding and computer-use benchmarks demonstrate the operational viability of this approach.