How to Build Long-Term Memory for AI Agents (Python Tutorial)

Want to start freelancing? Let me help: https://www.datalumina.com/data-freelancer Want to learn real AI Engineering? Go here: https://launchpad.datalumina.com/ 💼 Need help with a project? Work with me: https://www.datalumina.com/solutions 🔗 GitHub Repository https://github.com/daveebbelaar/ai-cookbook/tree/main/knowledge/mem0 🛠️ My VS Code / Cursor Setup https://youtu.be/mpk4Q5feWaw ⏱️ Timestamps 0:00 Introduction to AI Memory Systems 1:17 Importance of Memory Management 2:21 ChatGPT's Memory Functionality 2:59 Overview of Mem0 Framework 5:48 Exploring Code Examples 9:11 Mem0 Cloud Quickstart 10:44 Open Source Version of Mem0 13:11 Integrating Qdrant for Long-Term Memory 18:42 Challenges in Memory Management 19:55 Summary of Long-Term Memory Implementation 22:02 Conclusion and Next Steps 📌 Description In this video, I go over how to build AI agents that remember everything from simple facts to entire conversation histories using Mem0, showing you both cloud and open-source implementations with a practical Python approach that I've used in real-world AI applications. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!