Stop Confusing LangChain, LangGraph, and LangSmith | Full Breakdown

ByteMonk · Beginner ·🤖 AI Agents & Automation ·1w ago
One thing worth calling out separately: once your agent starts acting inside real systems: booking meetings, updating CRMs, filing tickets – you hit a wall that LangChain, LangGraph, and LangSmith don't solve on their own: auth. Especially, in multi-tenant enterprise systems, you need answers for: Whose credentials does the agent use? What is the agent actually allowed to touch? And how do you prove a specific user authorized an agent? Scalekit is a drop-in auth and tool-calling layer built for exactly this. Try it free: https://tinyurl.com/5h9vssuv Resources: - System Design Course: https:…
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Chapters (7)

The AI Stack Everyone Talks About
0:45 Why Raw LLM APIs Are Not Enough
1:38 LangChain: Prompts, Chains, Tools & RAG
4:50 The Real Challenge: Tool Access & OAuth using Scalekit
7:00 LangGraph: Handling State, Loops & Control Flow
8:55 LangSmith: Debugging & Observability
10:08 How the Full Stack Fits Together + Honest Take
OpenClaw Architecture Deep Dive (Reduce Costs & Better Tools/API Use)
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OpenClaw Architecture Deep Dive (Reduce Costs & Better Tools/API Use)
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