Build AI Agents with Memory Complete Guide

Build AI Agents with Memory – Complete Guide
Published 4/2025
Duration: 3h 58m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2 GB

What you’ll 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.
– Create a functional AI agent with memory, test it live, and refine its capabilities for real-world applications.

Requirements
– Basic understanding of Python (e.g., installing packages, running scripts).
– Familiarity with APIs or Large Language Models (LLMs) is helpful but not required.
– A computer with internet access for installing required libraries and tools.
– (Optional) Experience with machine learning or AI tools like LangChain, but beginners are welcome!

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.

What You’ll Learn:

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.

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!

Who this course is for:
– AI Enthusiasts eager to dive into the world of memory-enabled AI agents and explore cutting-edge tools like LangChain, LangGraph, and LangMem.
– Beginners with basic Python knowledge looking to get hands-on experience building real-world AI applications that remember and adapt to user interactions.
– Anyone interested in building chatbots, virtual assistants, or task automation tools that can learn and remember user preferences for improved engagement and efficiency.
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