Build AI Agents with Memory - Complete Guide (Udemy.com)
Learn to Build Smart AI Agents with Memory Using LangChain, LangGraph, and LangMe & Mem0 for Context-Aware Interactions
Created by: Paulo Dichone
Last updated April 2025
What you will learn
- Build AI agents that can remember past interactions and provide context-aware responses using LangChain and LangGraph.
- Understand different types of memory in AI agents: short-term, long-term, and episodic memory.
- Master LangMem for integrating persistent user memory in AI agents for smarter interactions.
- Create a functional AI agent with memory, test it live, and refine its capabilities for real-world applications.
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.4 out of 5higher than 30% of them
- Reviews1,025#387 of 1,183 by number of reviews
- Length4 hoursshorter than 61% of them
- Last updatedApril 2025earlier than 52% of them
Course Description
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 Memory
Hands-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 building customer support bots, virtual assistants, or intelligent tools, this course will equip you with the skills to take your AI agents to the next level.
Join now and learn how to build AI agents that not only respond but remember, adapt, and improve over time!
Instructor Details
- 4.4 Rating
1,025 Reviews
Paulo Dichone
Hi, I’m Paulo – Your Guide to Mastering Development, Cloud, and AI Engineering
With a passion for empowering learners, I’ve had the privilege of teaching over 350,000 students across 175 countries. Whether you’re diving into Android, Java, Flutter, AWS Cloud, or venturing into the world of AI engineering, I’m here to help you unlock your full potential.
My Expertise
I bring extensive hands-on experience in:
AI Engineering
Mobile App Development (Android & iOS)
Cross-Platform Development (Flutter, Dart, and JavaFX)
AWS Cloud Solutions
And now, I’m also focused on the AI engineering landscape, helping developers leverage the power of machine learning and automation in their projects.
My Mission
No matter where you are in your journey—whether you're just starting or looking to sharpen advanced skills—my courses are designed to make you an exceptional developer and AWS Cloud Practitioner, equipped to tackle real-world challenges. Beyond coding, I enjoy spending time with my growing family, playing the guitar and mandolin, and traveling whenever I get the chance.
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Reviews
By Sourabh Mittal on 6/21/2026
Explanation of code could be better.
By Shubham . on 5/7/2026
Course is good, I had learned the end to end project implementation. Thanks a lot!!!
By Husain NAQVI on 3/6/2026
great experience to understand AI agent core capability
By Roberto Murillo on 2/19/2026
Love this course. Great overview on building AI agents with different approaches with memory
By Ken King on 1/29/2026
Pretty solid intro course to AI agent/memory integration
By A Jaikishan . on 11/21/2025
its good bit need more interactive content
By Greg White on 9/16/2025
Very clear and thorough treatment of the topic Easily understandable and easy to follow
By Jeff Gillin on 8/6/2025
Good so far. Gets you to think more about the what/why of memory.
By Aravindan Ravi on 6/30/2025
Really comprehensive and more detailed theory + code course, I recommend you guys to take this course !
By Markus Schneider on 5/30/2025
I generally like Paulo's courses, but this one lacked downloadable slides. Additionally, he displayed a visualization without citing its source :(
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 88 / 100

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