The Agent Development Lifecycle: Build, Test, Deploy, Monitor | Interrupt 26

At the opening keynote from Interrupt 26, LangChain's annual agent conference. Harrison Chase (CEO & co-founder) and Ankush Gola (CTO & co-founder) walk through the Agent Development Lifecycle: the framework top teams use to build, test, deploy, and monitor AI agents in production, as well as a wave of new LangChain launches across every stage of that lifecycle. More resources - The Agent Development Lifecycle Explained: https://www.langchain.com/blog/the-agent-development-lifecycle - SmithDB: https://www.langchain.com/blog/introducing-smithdb - LangSmith Engine: https://www.langchain.com/blog/introducing-langsmith-engine - Try LangSmith: https://smith.langchain.com - Deep Agents 0.6: https://www.langchain.com/blog/deep-agents-0-6 - LangSmith Sandboxes: https://www.langchain.com/blog/introducing-langsmith-sandboxes-secure-code-execution-for-agents - LangSmith Context Hub: https://www.langchain.com/blog/introducing-context-hub - Managed Deep Agents: https://www.langchain.com/blog/introducing-managed-deep-agents 0:00 Intro 1:27 Welcome from Harrison Chase, CEO of LangChain 2:00 Why building agents is different from building software 3:53 The Agent Development Lifecycle overview 4:57 LangChain, LangGraph & Deep Agents 6:34 What is Deep Agents? The Agent Harness explained 8:56 New: Deep Agents 0.6 14:48 New: LangSmith Sandboxes 16:07 New: LangSmith Context Hub 19:20 What is the Agent Development Lifecycle? 20:09 New: LangSmith LLM Gateway 21:33 New: Managed Deep Agents 23:36 Ankush Gola, CTO of LangChain 25:58 The payloads of agent traces are getting larger 27:55 New: SmithDB 29:38 The architecture of SmithDB 34:00 How Clay & Vanta use SmithDB 38:50 New: LangSmith Engine 43:50 Building the platform for the entire ADLC