Rethinking Memory as Continuously Evolving Connectivity

Existing memory-augmented LLM agents often treat memory as a static repository with pre-defined representations and fixed retrieval pipelines, which is brittle in dynamic agentic environments where feedback, task variation, and heterogeneous signals continuously reshape what should be remembered and how it should be connected. To address this, we propose FluxMem, a connectivity-evolving memory framework that models memory as a heterogeneous graph and progressively refines its topology through th

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ethics.ai (27 May 2026), “Rethinking Memory as Continuously Evolving Connectivity,” evidence record 3567, https://ethics.ai/record/3567 (originally published by arXiv).

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