Item detail

pat-jj/harness-1

Harness-1 pat-jj/harness-1 is an Apache-2.0 20B-parameter search agent trained with reinforcement learning inside a stateful retrieval harness that maintains recoverable search state — candidate documents, curated evidence, evidence links, verification records, and budget-aware context — and the policy keeps the semantic decisions: what to search, which documents to inspect or curate, what claims

Score8.6
Popularity763.0
Risklow
TierGold
Score breakdown
Usefulness9.0
Novelty10.0
Momentum10.0
Maturity9.2
Open-source/build7.4
Evidence7.2
Workflow potential9.7
Setup ease6.5

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for ML researchers studying long-horizon search agents, applied-AI teams training or fine-tuning stateful retrieval agents on SEC / BrowseComp+ style workloads, builders of RL-on-search pipelines who want a published 20B checkpoint as a comparison point, Tinker and vLLM users who want a GPT-OSS-compatible 20B search-agent to evaluate locally, and any operator who needs a stateful retrieval

Who should use it

BuildersPower users

Who should skip it

Skip if the source link, docs, or setup requirements do not match your workflow.

Risk explanation

Risk label needs manual review.

Evidence links

Closest alternatives / related signals