LangChain vs LangGraph: Which to Use for AI Agents?

LangChain vs LangGraph, which one should you use to build AI agents? LangChain gives you a prebuilt agent loop to ship fast; LangGraph gives you direct control over workflow execution, state, and human approval and LangChain's modern agents actually run on LangGraph. 📢 TestMu AI Agent Assurance is testing that grades what an AI agent actually changed, not what it says it did. In this video: 🔹 LangChain explained with a documentation-assistant agent that calls a search tool 🔹 LangGraph's three core concepts: nodes, edges, and state 🔹 A conditional support workflow: routing billing vs technical requests 🔹 Human-in-the-loop in LangGraph: pausing a refund for approval and resuming from saved state 🔹 LangChain vs LangGraph side-by-side: abstraction, execution, state, human review, persistence 🔹 When to use LangChain, when to use LangGraph, and why you can use both together 🔹 Why an agent saying "refund completed" isn't proof, and how to test what it actually did Quick answers: ❓ What's the difference between LangChain and LangGraph? LangChain is the higher-level framework for building tool-calling agents quickly. LangGraph is the lower-level orchestration layer for custom execution paths, explicit state, and approval flows. ❓ Should I use LangChain or LangGraph? It comes down to how much control you need over execution. Start with LangChain for a standard tool-calling agent; use LangGraph when you need branching, explicit state transitions, or human-in-the-loop approvals. ❓ Can you use LangChain and LangGraph together? Yes. LangChain's modern agents are built on LangGraph, so both can work in the same application. ❓ How do you test whether an AI agent actually completed a task? Check the effect, not the reply. Agent Assurance verifies what the agent changed in your tools, files, and APIs instead of trusting what it reports. 📘 Agent Assurance: https://www.testmuai.com/agent-assurance/ 📗 Quickstart: https://www.testmuai.com/support/docs/agent-assurance-quickstart/ ⏱️ Chapters 00:00 LangChain vs LangGraph: Which One for AI Agents? 00:35 What Is LangChain? Tool-Calling Agent Example 01:30 What Is LangGraph? Nodes, Edges & State 02:25 LangGraph Human-in-the-Loop: Refund Approval Example 03:25 LangChain vs LangGraph: Side-by-Side Comparison 04:30 When to Use LangChain vs LangGraph 05:00 How to Test AI Agents with TestMu AI Agent Assurance #LangChain #LangGraph #AIAgents #AgenticAI #AgentAssurance