How to Build Self-Learning AI Agents (Python Tutorial)

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⏱️ 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!

[sidharth-ai]

Hey Dave, you really post videos exactly when I need them. Really appreciate the work of making it easy for everyone to get into GenAI.

[henriqueique]

you are the GOAT of AI agents with python. Keep on!!

[testy_cool]

Oh my god thank you so much. I noticed there was a tutorial on DeepLearning for memory as well, but I specifically wanted Mem0, and I'm glad it's made by you.

[alvinpinoy]

Great! Was just looking for something like this to implement in my project based on your Launchpad!

[mattysoup]

Hey Dave, is that a Jupyter notebooks extension you use in VSCode?? 7:02

[josephperkins]

Exactly what I was looking for - thanks mate

[christianweyer]

Great video @daveebbelaar - do you feel that the open-source version of Mem0 is too limited in features compared to their cloud offering?

[TeeeJayy_]

Clickbait title. You should have named it " how to add a memory layer to AI agents".


Self-learning implies it can auto learn from their environment.

[incoming-th]

Came here for the "Self-Learning" but that's only about memory, which seems at the end a minification of previous content into the DB and then reinjected into the prompt. It works, but should be best to filter rather than forcing the use of the 3 in the video examples. What happen when we have thousands of them? Is it selecting the 3 best or the 3 latest? Would have been nice to see this in the video.

[abbymoe]

Have you thought about not only sorting but connecting the memories by connection probability and extrapolating answers based on connection probability

[TheAzerue]

Good video. A question OpenAi have s concept of Threads and messages in their API. Thread is already maintaining the list of messages and we can continue chat in that thread later some time. But i guess history between threads isn't shared. It may be a good thing or a bad. How do you compare these two. And in memo can we do history isolation as well ?

[VikashCSI]

Hey Dave, Can you create a video on streamable http transport

[DayzcamperStSo]

is there an AI with this feature? and if it has features like screen sharing stream like gemini 2.0 better

[eevvxx]

Thanks, good idea, copy the content, summarize it for the next chat window.

[jonathanholmes]

Still suffers from the normal RAG issues in some respects... Awesome video. Appreciated.

[irvine]

dave, i needed to talk to you, about something regarding a new ai idea i have, is there anyway i can email you or so?