Episode 128: [Value Boost] The Three Types of Memory Every AI Agent Needs

One of the most frustrating things about working with AI is when it seems to suddenly forget everything it knew about you and your work. This is annoying when using AI chatbots. When building AI systems, it can be catastrophic.

In this Value Boost episode, Dr Imran Ahmad joins Dr Genevieve Hayes to explain what memory actually means in AI agents and what data scientists need to understand to build systems that actually remember what matters.

You'll discover:

1. The three types of memory every AI agent needs [01:54]
2. Why context and memory are not the same thing [05:37]
3. What context rotting is and why it matters for how you design AI systems [09:15]
4. How to make sure LLMs pay attention to what actually matters [10:39]

Guest Bio

Dr Imran Ahmad is a data scientist and president of data consultancy Cloudanum. He is also the author of 30 Agents Every AI Engineer Must Build and 50 Algorithms Every Programmer Should Know.

Links

• Connect with Imran on LinkedIn
• Connect with Genevieve on LinkedIn
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