Harness-1 makes search agents better by moving memory work out of the model and into a helper system. Shows that intelligence performs better when the environment stops forcing it to spend cognition on bookkeeping. That search agents should stop using the LLM as the notebook
Harness-1 Improves Search Agents by Offloading Memory Work
Moves memory work out of the model to enhance performance.