LangChain explains how it benchmarks its model-agnostic Deep Agents harness
LangChain · x · 2026-07-24
LangChain shares a closer look at how it benchmarks Deep Agents, its open-source, model-agnostic agent harness.
- The article argues that agent design is hard largely because evaluation is hard.
- It walks through the decisions involved in building and comparing Deep Agents.
- The focus is on agent benchmarking methodology, not on a specific base model.
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