Memory Drift
A failure mode in long-running AI agents in which early misjudgments are progressively accepted and reinforced by subsequent inferences during autonomous memory accumulation and updating, causing stored memory content to gradually diverge from factual reality.
Timeline (last 90 days)
Memory drift is an easily overlooked failure mode in long-running agents, where early misjudgments can become premises for subsequent inferences, forming erroneous self-reinforcing loops.
The problem of memory drift almost never exists in traditional software, because what is written to the database is explicit field values, yet it occurs very easily in architectures that allow models to autonomously generate and update memories.
All Facts (2)
Memory drift is an easily overlooked failure mode in long-running agents, where early misjudgments can become premises for subsequent inferences, forming erroneous self-reinforcing loops.
50%UnverifiedThe problem of memory drift almost never exists in traditional software, because what is written to the database is explicit field values, yet it occurs very easily in architectures that allow models to autonomously generate and update memories.
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