
Deep Agents provides comprehensive context management and is suited for complex workflows requiring full control over every step, while LangChain offers flexible integration and fine-grained control over the agent loop, and LangGraph supports deterministic workflows with human-in-the-loop capabilities. Each layer provides distinct levels of control and abstraction, with Deep Agents being the starting point for most agent builds, LangChain for custom tool integration, and LangGraph for deterministic workflows.
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.
