Just-In-Time Agent Memory with Runtime Agentic Research

类型：arxiv
标识：2609.34385
链接：http://arxiv.org/abs/2609.34385v1
主分类：agent
形态：method
TLDR：Memory is critical for AI agents. Many existing agent-memory systems follow an Ahead-of-Time (AOT) design, constructing memory before a specific request arrives. While this reduces online serving cost, such request-agnostic memory construction can discard fine-grained information that later becomes important. To address this limitation, we propose Just-In-Time Agent Memory (JAM), a trainable framework for query-conditioned context construction at runtime. A Memorizer preserves complete raw histories in a hierarchical page-store with compact navigational summaries, while a Researcher iterativel
待LLM分类：否
来源文件：
/inbox/tom/_candidates/2026-09-29-agent-rag-longcontext-candidates.json

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arXiv

2609.34385

TLDR

Memory is critical for AI agents. Many existing agent-memory systems follow an Ahead-of-Time (AOT) design, constructing memory before a specific request arrives. While this reduces online serving cost, such request-agnostic memory construction can discard fine-grained information that later becomes important. To address this limitation, we propose Just-In-Time Agent Memory (JAM), a trainable framework for query-conditioned context construction at runtime. A Memorizer preserves complete raw histories in a hierarchical page-store with compact navigational summaries, while a Researcher iterativel

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Just-In-Time Agent Memory with Runtime Agentic Research

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