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How to implement context decay so an AI agent forgets stale or incorrect instructions over time?

A year into a project, one agent's memory holds three instructions that should no longer win. It says to install packages with npm, and since June it also says to use pnpm; both are still there, and…

  • Closing outdated instructions marks them with a date they stopped applying and their successor.
  • Decay lowers an instruction's ranking over time if it's not used, confirmed, or contradicted.
  • Pushing down gives a negative mark to misleading instructions that caused the agent to act.

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