Published on July 17, 2026, the article presents a method for evolving agent harnesses—prompts, tools, and control loops—using semantic search and stepwise verification.
Published on July 17, 2026, the article describes HarnessBank, a method for evolving agent harnesses, including prompts, tools, and control loops. The proposal uses semantic search in a gene bank and stepwise verification to address greedy candidate selection and noise in self-generated feedback.
The text presents the approach as a way to improve agents by changing the harness around the model. To assess its claims and find details not included in this summary, consult the original article and check its method, evidence, and stated limitations.