DeepSeek Shrinks Agent Memory to 890 Bytes Per Token, 437x Smaller

A memory optimization built on the insight that agents read far more than they write could make long-running agent sessions dramatically cheaper.

DeepSeek has developed a technique to shrink the memory agents retain to 890 bytes of cache per token — 437 times smaller than conventional approaches — according to @DeepLearningAI. The design starts from a behavioral observation: "agents read more than they write."

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