'Compaction amnesia': how context compression quietly erases agent memory in long sessions
malliktwts · x · 2026-11-11
The author shares a newly coined term, "compaction amnesia": when AI agents in long multi-turn sessions compress their context to fit the window, the summarization discards earlier details, causing the model to forget already-established information — repeatedly asking the same questions or losing task state. It's a common pain point in coding agents and long-term memory system design.
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