# Designing Reliable AI Agent Memory for Stale Facts and Policy Changes

DevFeed: [Designing Reliable AI Agent Memory for Stale Facts and Policy Changes](<https://devfeed.tech/articles/the-most-dangerous-agent-memory-was-once-correct-17963.md>)

Original publisher: [Read original article](<https://newsletter.systemdesignclassroom.com/p/the-most-dangerous-agent-memory-was>)

Author: Raul Junco

Published: 2026-09-12T12:10:58Z

Content type: tutorial

Language: en

Sources: [System Design Classroom](<https://devfeed.tech/sources/system-design-classroom.md>)

Topics: [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [context window](<https://devfeed.tech/topics/context-window.md>), [context](<https://devfeed.tech/topics/context.md>)

Tags: [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [context](<https://devfeed.tech/tags/context.md>), [context-window](<https://devfeed.tech/tags/context-window.md>), [memory](<https://devfeed.tech/tags/memory.md>)

## AI overview

This article explains that AI agent memory should be treated as evidence rather than truth, especially when policies or other facts change. It recommends attaching version, scope, source, and authoritative-data checks to memory, while keeping the context window limited to the information needed for a task.

## Source excerpt

Learn how to design reliable AI agent memory that handles stale facts, policy changes, scoped retrieval, conflict resolution, and safe deletion.