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AI Summary: Explores the phenomenon of 'context rot' and proposes stateful, selective memory architectures to maintain agent reasoning quality in long-horizon interactions.
AI Summary: Explores the phenomenon of 'context rot' and proposes stateful, selective memory architectures to maintain agent reasoning quality in long-horizon interactions.
In the race for infinite context windows, we forgot about 'context rot'—the degradation of agent reasoning as irrelevant data piles up. We analyze the newest research into 'Stateful Digestion' and why the best agents in 2026 are the ones that know what to forget. Learn how to implement 'sawtooth' memory structures to keep your agents sharp over month-long tasks.
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