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Governed Enterprise Memory is defined as agent memory designed around this combined scope and AkasicMEM is presented, a unified vector--graph--relational database whose storage and execution substrate enables the underlying operations of these mechanisms to be jointly optimized and executed.
This work proposes CONDA, a dynamic graph-based index featuring a topology-aware pruning rule with bidirectional link reinforcement and a lightweight lazy deletion scheme that improves search recall by up to 24.5% over state-of-the-art methods while achieving 1.90× higher update throughput.
SafeQL is proposed, a search-based refinement paradigm that redefines the role of the DBMS as an active guide in the refinement process, and significantly improves execution accuracy and efficiency compared to regeneration-based methods.
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