In this tutorial, we create a MemGPT-inspired Discord agent using LangGraph Cloud, enabling chatbots to remember user interactions across conversations for a more personalized experience.

Key components of the MemGPT agent:
1. Core memories: Persistent user information
2. Recall (semantic memories): Context-based retrieval
3. Management via tool use


We'll cover:
Implementing the agent graph
Deploying the agent on LangGraph Cloud
Creating the Discord bot
Writing tests and evaluations for the agent

By the end of this tutorial, you'll understand how to build, deploy, and evaluate a Discord bot with long-term memory capabilities.


Chapters:

00:00 MemGPT & LangGraph Cloud
00:36 Agent Overview
01:19 Part 1: Designing the agent
02:05 Forking and Cloning the Repository
02:17 Understanding the Repo Structure
03:05 Code Review: Defining Memory Management Tools
07:15 Part 1b: Deploying on LangGraph Cloud
08:59 Interacting with the Agent in LangGraph Cloud Studio
09:47 Part 2: Deploying a Discord Server
10:31 Setting Up a Discord Bot
12:19 Testing the Discord Bot
14:14 Setting Up Google Cloud Run
15:12 Part 3: Evaluating and Testing the Agent
17:14 Conclusion and Next Steps


Additional Resources:

GitHub Repository: https://github.com/langchain-ai/lang-...
LangGraph Cloud Documentation: https://langchain-ai.github.io/langgr...
MemGPT Paper: https://arxiv.org/abs/2310.08560

Presenter: Will Hinthorn (  / whinthorn  )