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Bingzhe Li

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#artificial intelligence Preprint Sep 2026

Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents

Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on autoregressive LLMs to control how memories are organized, retrieved, and used, placing expensive generation on the critical path of memory operations. We introduce \textbf{\method}, a new agentic memory architecture insp...

Dongming Jiang, Yi Li, Bing-Zhe Li · 9 citations · ⚡1
#artificial intelligence Preprint Aug 2026

A Universal Context-Reuse Layer for Cross-Model KV Sharing

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.

Yi Li, Dongming Jiang, Yi Zhao et al. · 0 citations

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