Build AI Agents with Memory - Complete Guide

About this course

Unlock the power of AI agents with memory in this hands-on course designed for developers and AI enthusiasts! You'll dive deep into the essentials of building memory-enabled AI agents using LangChain, LangGraph, and LangMem, Mem0 and Supabase. You'll learn how memory transforms basic agents into intelligent, context-aware systems.You’ll start by exploring a simple AI agent without memory and uncover its pitfalls—forgetting user interactions, offering repetitive answers, and providing poor user experiences. Then, we’ll move on to introduce LangMem and LangGraph, two powerful tools that bring memory to the forefront, allowing your agent to remember and improve interactions over time.What You'll Learn:AI Agents Basics: Understand the fundamentals of AI agents and how memory plays a crucial role in making them smarter.Memory Types: Explore short-term, long-term, and episodic memory, and see how they enhance your agents.LangGraph and LangMem: Master these tools to manage conversational and user memory with ease.Mem0 and Supabase Integrations for Long Term MemoryHands-on Project: Build your own AI agent with memory, test it live, and see memory in action as your agent remembers user preferences and interactions.Real-World Application: Learn how to implement your agent in practical scenarios such as chatbots, support agents, and task assistants.Who This Course is For:Developers who want to add memory to their AI agents.AI enthusiasts keen to dive into LangChain and LangGraph.Beginners with a basic understanding of Python and APIs who want to build smarter AI systems.By the end of this course, you’ll be able to create memory-enabled AI agents that learn, adapt, and engage with users like never before. Whether you're b

Course objectives

• Equip learners with the skills to develop interactive AI agents
• Foster understanding of memory types and their applications in AI
• Provide practical experience through project-based learning