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Shared Selective Persistent Memory for Agentic LLM Systems

Pedada, Sanjana et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencei-2-7multiagent-systemssoftware-engineering
Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem: each session starts from zero, discarding the domain constraints, data schemas, tool configurations, and output preferences that made previous sessions productive. We introduce shared selective per
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