Patrick Jiang Profile picture
CS PhD @ UIUC @siebelschool, Research Fellow @AnthropicAI; prev: SR @GoogleResearch; recent work: DeepRetrieval, s3, R4T, Context-1, Harness-1 (w/ @trychroma)
Jun 6 14 tweets 5 min read
Introducing Harness-1, a 20B search agent trained with a state-externalizing harness.

> frontier-level long-horizon search, rivaling Opus-4.6 and outperforming GPT-5.4

> Context-1-level cost and latency

> externalizes candidates, evidence, verification, and search history

> open-source [1/N] I’ve been wondering:

maybe search agents are bad at search partly because we make them do all the paperwork in their head.

So I tried a simple idea:

externalize the search state, then train the model to use that harness.

The result is Harness-1: a 20B search agent that can match or even beat much larger frontier AI on hard long-horizon search tasks.Image