This is the Windows app named Harness-1 whose latest release can be downloaded as harness-1sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Harness-1
DESCRIPTION:
Harness-1 is a 20B search agent trained with reinforcement learning inside a stateful retrieval harness. It is designed for long-horizon search tasks where the model must search, inspect documents, curate evidence, verify claims, and decide when enough evidence has been gathered. The harness externalizes search state, including candidate documents, evidence links, verification records, and budget-aware context. This lets the policy focus on higher-level decisions instead of trying to keep every detail inside the model context. The repository includes inference utilities, training scripts, evaluation runners, dataset tools, and documentation for running the released checkpoint. Its main value is showing how a smaller open model can approach advanced search-agent behavior through structured retrieval state and reinforcement learning.
Features
- 20B reinforcement-trained search agent
- Stateful retrieval harness
- Recoverable evidence and verification records
- vLLM-based local serving support
- BrowseComp+ evaluation workflow
- Training, inference, and ablation scripts
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/harness-1.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.