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title: Building Memory That Can Change Its Mind (Part 1 of 4)
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# Building Memory That Can Change Its Mind (Part 1 of 4)

**[Medium](https://daily.dev/sources/medium_js)** · 5 min read · 2 upvotes · 0 comments

## Summary

Most AI agent memory systems either forget everything or blindly stuff entire chat histories into the context window — neither approach can distinguish between what's currently true and what used to be true. This post introduces a research assistant architecture built around four distinct memory stores (Events, Facts, Preferences, Working Memory) with mechanisms for contradiction resolution, memory decay, and budget-aware retrieval. Rather than bolting memory onto a chatbot, the design treats memory as a standalone layer of independently testable Python modules. The post also describes a benchmark called MemoryBench, built by running baseline approaches against synthetic scenarios involving preference changes, corrected facts, and contradictory updates across sessions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@leksh120801/building-memory-that-can-change-its-mind-part-1-of-4-8524c8ca6c26>

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