Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity

Not provided in the abstract

agent frameworksLLMworkflow optimization

2609.26891

Builder Relevance

80%

1d ago

Abstract

The paper presents JAZ, a minimalist LLM agent framework that explores the capabilities of a simple agent loop to accomplish tasks typically requiring more complex systems.

Reality Card

Core Claim

JAZ invoke outperforms existing specialized systems in recall-heavy workflows and continual self-improvement at a lower cost.

Method / Result

JAZ invoke outperforms Letta (MemGPT) by 8% at half its cost on recall-heavy tasks.

Limitations

The paper does not specify the authors or provide detailed reproducibility metrics.

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