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Graph-Structured Memory for Cognitive Agents: From Knowledge Graphs to Non-Euclidean Geometry

Michael BanfJohannes KuhnMichael Banf et al.
11 to 12 August 2026 · FGWM 2026 at KI 2026, Bremen

A survey of graph-based agent memory 2023 to 2026, and the case that its retrieval problems are geometric.

The research

Agents forget between sessions. We study graph-structured, temporal memory for agents: what to keep, how to retrieve it, and why the geometry of the memory matters.

What it changes in practice

AI native means the memory that holds a case together belongs to the system, not to one person. This field is how that memory gets built and kept honest.

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