
The article discusses the architecture of deep agents, emphasizing the importance of loops in enabling agents to perform tasks effectively. It outlines four key loops—Agent, Verification, Event-driven, and Hill climbing—that work together to automate and improve agent performance. The focus is on how these loops can be instrumented with LangChain primitives to enhance reliability and quality.
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
