Latest in AI

Is Grep All You Need? How Agent Harnesses Reshape Agentic Search

Echoing the famous Transformer paper, this work asks whether grep alone is sufficient for agentic search scenarios. The study focuses on 'agent harnesses'—the scaffolding wrapping an LLM, including prompting strategy, tool access, and memory—as the primary driver of search quality. Findings suggest harness design may matter more than the underlying model, challenging the community's focus on model scaling.