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Shared Selective Persistent Memory for Agentic LLM Systems

This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.

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. Naively persisting entire conve…

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  1. 2026-09-16 00:00 · Apple Machine Learning Research
    Shared Selective Persistent Memory for Agentic LLM Systems

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