LangChain explains how Deep Agents fight context rot with five mechanisms
LangChain · x · 2026-10-21
LangChain published "Context Engineering: How Deep Agents Remember," breaking down how its open-source agent harness Deep Agents handles memory in long-running tasks.
Core problem: as long-running agents accumulate more context than the model can hold, context rot sets in and accuracy drops.
The article details five mechanisms Deep Agents uses to counter this — a practical context-engineering guide for agent developers.
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