The most common Deep Agents use cases
LangChain defines 'Deep Agents' as long-running, high-context agents like Claude Code and deep research tools
“an agent like Claude Code, we would consider a Deep Agent because it's doing those longer-running jobs. It needs lots of context and to be able to manage that context over a long horizon.”
LangChain is coining and defining 'Deep Agents' as a distinct category of AI agents characterized by long-running tasks requiring extensive context management over time. The two flagship use cases cited are coding agents (specifically naming Claude Code) and deep research agents. This reflects an emerging industry push to classify agentic systems by task duration and context demands rather than just capability type.