Building Your Personal AI Assistant with Memory Using Ollama’s Llama3.1, Llama3.2 Models, Streamlit UI, and locally

Learn how to create your own AI assistant with chat history recall, multi-model support, and flexible inference settings, powered by Streamlit and Ollama’s latest language models.

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Introduction

Creating a robust and intelligent chatbot has become more achievable in the era of personalized AI assistants. Porter is my personal AI assistant built using cutting-edge technologies like Ollama’s llama3.1 and llama3.2 models, integrated with a memory system for storing chat history, all wrapped in an intuitive Streamlit UI. In this blog, I’ll walk you through the development process, explain the technologies used, and provide insights into the key features that make Porter a powerful assistant capable of answering questions, handling commands, and retaining conversations across sessions.

Why Porter?

The idea behind Porter was to create an AI assistant that is not only responsive but also intelligent enough to remember past conversations. This allows users to interact with…