Build a Chatbot with Memory using Deepseek, LangGraph, and Streamlit

In this video, we will build a chatbot using Deepseek, LangGraph, and Streamlit that has memory and can recall previous conversations. I’ll guide you step by step through the process of creating a simple chatbot that connects to Ollama’s Deepseek model as a LangGraph agent, and then show you how to build a sleek Streamlit chat UI on top of it.

Once the basic chatbot is working, we’ll take it further by adding short-term memory so it can retain and reference past messages during a session. Toward the end, we’ll also explore the concept of long-term memory—what it means, and how you can implement it to create more advanced AI agents.

If you’re interested in building AI agents with memory—short-term or long-term—using LangGraph, this tutorial is for you.

You can watch it here: https://youtu.be/OtKMxYphw98