Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction

A technique called Dynamic Harness Search builds multi-agent systems per-query by predicting which harness design — the roles, instructions, tools, and communication structure — will work best, rather than executing alternatives to find out. The approach addresses the problem that a harness's value is observable only through execution, which previously made per-query tailoring costly.

Agent harnesses specify the roles, instructions, tools, and communication structure used to solve a task, and the right harness depends on the query. Because the value of each design choice is observable only through execution, tailoring a harness to each query has required either executing alternat