Back to feed
Dev.to
Dev.to
7/18/2026
Day 8/30: ReAct Loop in LangGraph

Day 8/30: ReAct Loop in LangGraph

Short summary

This tutorial walks through implementing a ReAct (reason-act-observe-repeat) loop in LangGraph using StateGraph nodes and conditional edges for a support bot scenario. It highlights a key gotcha: StateGraph lacks built-in memory, so agents forget earlier conversation turns unless external context is added. The author teases a follow-up on combining StateGraph with MCP tools for persistent, contextual agent memory.

  • •ReAct loop in LangGraph enables reasoning-act-observe cycles for agents
  • •StateGraph has no built-in memory, causing agents to forget prior turns
  • •Combining StateGraph with MCP tools can add contextual memory to agents

Generated with AI, which can make mistakes.

#ai-agents#ai-tools
Read full article at Dev.to

Is this a good recommendation for you?

Comments

Failed to load comments. Please try again.

Explore more

Day 1/30: ReAct Pattern Explained
Dev.to
The original title is "Day 4/30: Persistent StateGraph" which is 4 words. I need to make it at least 5 words and aim for 8-10, max 12.
Dev.to
Day 9/30: Human-in-the-loop Agents
Dev.to
The original title is: "Solon 4.0 ReActAgent: A Practical Guide to Building AI Agents That Think and Act"
Dev.to