Apple researchers propose shared selective persistent memory for agentic LLM systems
Apple researchers introduced shared selective persistent memory, a memory architecture for agentic LLM systems that generate code through multi-turn tool use. It identifies and retains four categories of reusable context—including task specifications and data schemas—instead of persisting entire conversation histories, which the researchers say is token-inefficient and degrades generation quality by adding irrelevant context.
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