LangChain Founder: Own Your AI With Custom Harnesses and Evals
hwchase17 · x · 2026-08-14
Harrison Chase, founder of LangChain, shared insights on building agent systems at a Sequoia event.
He emphasized that a complete agent consists of three parts: a model, context, and a harness. To truly own your intelligence, developers need to take control across all three layers, especially the often-overlooked harness.
- Harness Customization: Customizing the harness becomes critical when operating out of distribution from the model's training data.
- Compounding Loop: Using tools like LangSmith for measurement and evaluation creates a continuous feedback loop for optimization.
- Governed Runtime: With the rapid growth of managed harnesses, implementing effective governance within the runtime environment is increasingly important.
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