Infinite Context: Managing Memory Drift in Long Dialogs

Reliability · updated Sun Feb 22

Five-step controls to preserve critical context and reduce memory drift in long-running agent dialogs.

Steps

  1. Summarize the conversation every three turns into a compact current-state manifest.
  2. Maintain a persistent entity buffer injected into every prompt.
  3. Strip low-value chatter before each turn to preserve token budget for operational data.
  4. Prune oldest messages when near the context limit unless they contain decision tokens.
  5. Use cross-session retrieval only when the current context lacks needed data.

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