How Memory Works in LangGraph | AI Agents with Memory

In this tutorial, we will understand one of the most important concepts in AI Agents and LangGraph — Memory. When building AI systems, memory helps agents remember previous conversations, decisions, outputs, and workflow states. Without memory, AI systems forget everything after every interaction and behave like they are talking to the user for the first time. GitHub: https://github.com/codewithaarohi/Lan... In this video, we will learn: ✅ What memory is in AI agents ✅ Difference between Short-Term Memory and Long-Term Memory ✅ How memory works in LangGraph ✅ What is a Checkpointer in LangGraph ✅ Why State and Memory are different concepts ✅ How LangGraph stores workflow state ✅ Practical implementation of memory using LangGraph ✅ How to use InMemorySaver ✅ How Thread ID works in LangGraph ✅ Real-world examples of AI agent memory We will also build practical coding examples in VS Code and implement memory step by step using Python and LangGraph. 📌 Topics Covered: LangGraph Memory Short-Term Memory Long-Term Memory Thread-Level Memory Conversation Memory Checkpointer InMemorySaver MessagesState State Management in LangGraph AI Agent Memory Systems LangGraph Tutorial for Beginners 💻 Technologies Used: Python LangGraph VS Code dotenv AI Agents 🚀 Become a Channel Member Get access to: ✅ Complete source code ✅ PDF notes ✅ Project files ✅ Exclusive members-only content ✅ WhatsApp Community Access 👉 Join here:    / @codewithaarohihindi-h5b   Already a member? 👉 https://codewithaarohi.ai/members 📸 Follow me on Instagram: @codewithaarohihindi   / codewithaarohihindi   📧 Business/Freelance Enquiries: [email protected] #LangGraph #AIAgents #MemoryInAI #LangChain #Python #GenerativeAI #LLM #AIEngineering #AgenticAI #ArtificialIntelligence