Build a MemGPT Discord Agent in LangGraph Cloud

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-memgpt - LangGraph Cloud Documentation: https://langchain-ai.github.io/langgraph/cloud/ - MemGPT Paper: https://arxiv.org/abs/2310.08560 Presenter: Will Hinthorn (https://twitter.com/WHinthorn)