When to Build Your Own Agent Harness | Harrison Chase, LangChain
LangChain CEO argues companies must own their agent harness to truly own their AI intelligence
“The main job of a harness is to bring context to the model at the right point in time.”— Harrison Chase
Harrison Chase, LangChain CEO, frames agent ownership as a three-part problem: harness, model, and context — and argues enterprises should own all three. He draws an analogy to cloud agnosticism, urging model-switching capability to avoid lock-in. The talk positions LangChain's thesis that controlling the orchestration layer (harness) is the critical moat in the agentic stack.