English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 36 lectures (3h 58m) | 1.99 GB
Learn to Build Smart AI Agents with Memory Using LangChain, LangGraph, and LangMe & Mem0 for Context-Aware Interactions
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.
Table of Contents
Introduction
1 Introduction & Prerequisites & What You’ll Learn
2 Course Structure and Development Environment Setup and Tools
3 AI Agents – Crash Course
4 Why Agents Need Memory
5 Visual Animation – Why Agents Need Memory & Key Benefits
Get Source Code and Resources
6 Get the Source Code
Memory – Deep Dive
7 Memory Deep Dive – What is Memory & Memory as Core Component of Agent Experience
8 Types of Memory and Deep Dive Each one of Them
Giving AI Agents Memory – No Frameworks or Libraries
9 Give AI Agents Memory Introduction
10 HANDS-ON Building an Agent with memory – No Framework
11 HANDS-ON Building AI Agent with Memory – No Framework – Class Setup
12 HANDS-ON Agents with Memory – Testing
13 Agents with Memory – Visual Animation
Giving AI Agents Memory – With Frameworks and Libraries
14 AI Agents Memory with Frameworks and Libraries – Overview
15 Motivation and Key Features of LangMem by Langchain
16 Cognitive Language Agent – Full Overview
17 Memory Updating in Cognitive Language Agents – Hot Path & Background Memory
18 CoALA Memory Update Approaches Comparison – Overview
19 Customer Support Agent with Memory Architecture – Overview
20 HANDS-ON Customer Support Agent with Memory
21 Customer Support Agent with Memory – Testing the Whole Workflow
LangMem Deep Dive
22 Introduction to LangMem – Overview
23 Create a Simple Agent with Langmen that Remembers Things
24 Understanding LangMem in the Background Memory – Full Overview
25 HANDS-ON LangMem – Health Coach with Memory
26 HANDS-ON Build a Health Fitness Coach with LangMem
27 LangMem Background Memory Process – Summary
28 Extra Use Case – Recipe Agent with Memory – with Visuals
Giving AI Agents Memory with Frameworks with Mem0 and Supabase – Capstone
29 Introduction to Mem0
30 Mem0 – Platform adn Open Source Repo Overview
31 Mem0 – Simple Agent with Memory
32 Setting up Supabase – API Keys and Database URL
33 Supabase and Mem0 – Testing
34 Supabase adn Mem0 – Implementation
35 HANDS-ON Final Health Coach Agent with Memory – Capstone
Wrap up
36 Wrap up and Next Steps
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