Human In The Loop Agent Interruption And Control

via “human-in-the-loop execution with interrupt and state modification”

Build resilient language agents as graphs.

Unique: Provides first-class interrupt semantics where agents pause at any superstep, allowing external systems to inspect and modify state before resumption. Unlike frameworks that require explicit callback mechanisms, LangGraph's interrupt system is integrated into the execution engine, enabling state modification without custom serialization logic.

vs others: Offers cleaner human-in-the-loop patterns than callback-based frameworks by treating interrupts as first-class execution primitives, and maintains full state consistency across pause/resume cycles without requiring external state management.