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Making Sense of Memory in AI Agents – Leonie Monigatti

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Study notes on agent memory management: How agents remember, recall, and (struggle to) forget information. November 20, 2025 December 5, 2025 I’ve been catching up on the topic of memory management for AI agents recently and was overwhelmed by the amount of new terminology and concepts. This blog post serves as my working study notes to collect all the information on memory for agents. Therefore, please note that this information is subject to change as I’m learning more about the topic (refer to the last modified date on this post). Memory in AI agents is the ability to remember and recall important information across multiple user interactions. This ability enables agents to learn from feedback and adapt to user preferences, thereby enhancing the system’s performance and improving the user experience. Large Language Models (LLMs) that power AI agents are stateless and don’t have memory as a built-in feature. LLMs learn and remember information during their training phase and store it

Making Sense of Memory in AI Agents – Leonie Monigatti I’ve been catching up on the topic of memory management for AI agents recently and was overwhelmed by the amount of new terminology and concepts. This blog post serves as my working study notes to collect all the information on memory for agents. Therefore, please note that this information is subject to change as I’m learning more about the topic (refer to the last modified date on this post). What is agent memory? Memory in AI agents is the ability to remember and recall important information across multiple user interactions. This abili

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