Jev-Mem is the first research paper to build on the decision-model shape rather than clone the API.

Most agentic memory systems use an autoregressive LLM to decide how memories are organized, retrieved and used, which puts token generation on the critical path of every memory operation. Jev-Mem splits this into a fast control plane, a structured multi-relational memory plane, and a slow reasoning plane, with the controller handling memory typing and relational organization at construction time, then query routing, retrieval-budget allocation, graph traversal, candidate scoring and adaptive stopping at retrieval time. (arXiv 2609.23986)