AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Jev-Mem is introduced, a new agentic memory architecture inspired by System-One/System-Two cognition, which improves both memory effectiveness and system efficiency.
Results provide initial evidence that KV states can serve as transferable computational representations rather than strictly model-local caches, and motivate context mobility as a systems abstraction for reducing redundant prefill across heterogeneous LLM and multi-agent inference workflows.
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