LangChain Interrupt 2026: LangSmith Engine, SmithDB, Managed Deep Agents, and Context Hub Unveiled
San Francisco, May 13–14. In a single two-day conference window, LangChain just reshuffled the competitive map for agentic AI tooling. Interrupt 2026 wasn’t a product refresh — it was a coordinated launch of seven distinct capabilities, most of them targeting the production gap between “agent that works in a notebook” and “agent that works reliably at scale.” Here’s what shipped, and why it matters. LangSmith Engine — Agents Debugging Agents The headline announcement is LangSmith Engine, an autonomous agent that watches your production traces, clusters failure patterns, and automatically opens pull requests with fixes. It represents a shift from observability-as-dashboard to observability-as-automated-remediation. ...