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Shared Selective Persistent Memory for Agentic LLM Systems

Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem: each session starts from zero, discarding the configuration choices, domain constraints, data schemas, and tool-use patterns that made previous sessions productive.

By Apple ML Research
Shared Selective Persistent Memory for Agentic LLM Systems

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Originally published by Apple ML Research on Sep 16, 2026.

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