Persistent memory can help an agent avoid asking the same question repeatedly. It can also make an old mistake available to every future conversation. The engineering problem is deciding what the stored information means and when the agent should stop trusting it.
I separate remembered context from current system state. A customer’s preferred language may be useful across conversations. A delivery date, account permission or product price usually needs a current source before it supports a consequential answer.
Store the claim with its origin
A memory entry should explain where it came from: a direct user statement, an application record, an imported document or an inference. Those origins are not equally authoritative. “The user said this” and “the assistant inferred this” should remain distinguishable after summarization.
I would include a subject identifier, scope, observation time and source reference. Some information also needs an effective period. The observation time says when the system learned something; the effective period says when the claim is supposed to apply.
Consider a temporary delivery instruction. Remembering when it was stated does not establish that it applies to every future order. The scope should identify the particular order or period, so the agent can reuse the information appropriately.
Use expiry according to the decision
A single retention duration is a weak substitute for understanding the data. A display preference, an inventory observation and an approval have different lifetimes. The stricter question is whether the entry remains suitable for the decision currently being made.
My customer communication work on Conviro is the context for these questions. A remembered preference can make a conversation smoother, while a remembered operational fact can mislead someone if it has changed. The memory policy should distinguish the two.
When an entry expires, the system can retain an appropriately governed historical record while making it ineligible as current evidence. Deleting everything and trusting everything are not the only design choices.
Resolve conflicts without blending them
If a user provides a new address that conflicts with an old one, an agent should not combine parts of both into a more complete-looking address. It needs a rule for selecting, superseding or asking about the conflicting values.
I would preserve the fact that a correction occurred. That gives a later reader a way to explain why the current value changed. It also supports a useful distinction between the latest conversational statement and the address actually accepted by the order system.
This connects to preserving evidence in research agents: summaries should retain uncertainty and source identity instead of compressing disagreement into a confident conclusion.
Keep permissions outside conversational memory
A note that an administrator approved something last week is historical context. It is not a reusable credential. Access should be evaluated through the application’s current authorization path, with approvals tied to the operation they cover.
That rule becomes especially important when agents summarize older conversations. A sentence such as “the user approved the change” can lose its original target and limits. My note on approvals that expire when a plan changes explains how to preserve those limits.
Review forgetting as carefully as remembering
A useful memory review includes correction, expiry, deletion and isolation between accounts. I would test whether an old preference can be replaced, whether a temporary instruction stops influencing later tasks and whether a summary resurrects information that should no longer be used.
The goal is to make memory useful without making it an invisible authority. Every retained entry should have an understandable purpose, a valid scope and a way to become outdated. That gives the agent continuity while leaving current facts and permissions attached to their proper sources.
Updated 30 September 2026.