---
title: "Comment by Mihai_LeanZero on \"Memory for AI Agents: Architectures, Tools, and How to Choose the Right One\" | Hashnode"
description: "The user-level shared memory section raises a question the piece doesn't quite cover: what happens when two agents write conflicting facts about the same user c"
url: "https://hashnode.com/posts/memory-for-ai-agents-architectures-tools-and-how-to-choose-the-right-one/6aafe54cba9d858bd7839d67/comment/6ab034b25d564502a11ef5b6"
---

[Discussion](https://hashnode.com/posts/memory-for-ai-agents-architectures-tools-and-how-to-choose-the-right-one/6aafe54cba9d858bd7839d67)

Comment [Memory for AI Agents: Architectures, Tools, and How to Choose the Right One](https://hashnode.com/posts/memory-for-ai-agents-architectures-tools-and-how-to-choose-the-right-one/6aafe54cba9d858bd7839d67)

[Mihai\_LeanZero](https://hashnode.com/@mihaileanzero)

[Sep 20](https://hashnode.com/posts/memory-for-ai-agents-architectures-tools-and-how-to-choose-the-right-one/6aafe54cba9d858bd7839d67/comment/6ab034b25d564502a11ef5b6)

The user-level shared memory section raises a question the piece doesn't quite cover: what happens when two agents write conflicting facts about the same user close together in time, not months apart where decay scoring would naturally handle it. Say a support bot logs "Alice moved to MySQL" right as a sales bot is still reading the older "Alice uses PostgreSQL" fact for a recommendation it's about to make. Decay scoring solves staleness over time, but a same-day write race is a different problem -- is that resolved at the write layer (last-write-wins, versioning) or left to whoever calls the API to serialize their own writes?