AI Agents Lose Frequently Queried Info After a Single Context Compaction
kalomaze · x · 2026-08-14
A developer highlighted a significant flaw in current AI agent context compaction: critical information like frequently queried SSH aliases can be completely lost after just a single compaction.
He suggests that a "learned compaction model" approach—optimized to minimize KL divergence on future turns—might not have been properly implemented yet to solve this information loss.
Related event: AI Agent Context Compaction Causes Critical Information Loss(3 posts)→
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