LangGraph

LangGraph is LangChain's low-level orchestration framework for building reliable, stateful, and controllable AI agents. It gives developers graph-based primitives for workflows where agents need memory, branching logic, human approval, persistence, and long-running execution. The product is useful when a simple assistant loop is not enough. LangGraph helps teams design single-agent, multi-agent, hierarchical, and human-in-the-loop systems with more control over state transitions, checkpoints, interrupts, and tool usage than typical high-level agent abstractions. LangGraph is open source, but it becomes more powerful when combined with the broader LangSmith platform for observability, evaluation, deployment, and debugging. That combination gives teams a path from local agent experiments to more reliable production agent systems. For FutureStack, LangGraph belongs in AI Agents because production agent builders are actively searching for durable orchestration frameworks. It is best for developers who need reliability, persistence, and control when building agents that do more than answer a single prompt.