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RippleMem boosts LLM accuracy by nearly 12% while slashing memory graph construction costs by 30x, transforming how agents recall and utilize past interactions.
Achieving trillion-parameter performance with just 35 billion parameters by scaling agent horizons reveals a new frontier in model efficiency.
