langchain-architecture

Build multi-step workflows with LangGraph by orchestrating agents that execute ReAct and Plan-and-Execute patterns. LangGraph manages state and composes agents with tool access to handle complex, multi-step pipelines.

LangGraph handles stateful memory by persisting and recalling conversation context across sessions. This memory management improves continuity and allows agents to maintain state throughout multi-step interactions.

You can implement multi-agent routing and tool calling in LangChain using LangGraph. It supports production-grade pipelines where multiple agents route tasks and invoke tools autonomously to produce structured outputs.

Orchestrate autonomous agents that search internal data sources by combining LangChain and LangGraph. LangGraph enables agents to call tools, access memory, and produce structured outputs for software development tasks.

You need LangGraph to manage state and tool access for production-grade LangChain applications. LangGraph provides the orchestration framework required for robust tool usage, stateful memory, and end-to-end agent management.

Use LangGraph for autonomous agent workflows because it adds stateful memory and multi-agent routing capabilities beyond standard LangChain. LangGraph orchestrates complex ReAct loops and tool usage required for production-grade applications.