RhizoDB: A Bounded Activation-Flow Architecture for Graph-Based Memory Systems
Jorge Augusto Guberte · 2026 · 918 citationsRead the paper
RhizoDB is a graph-based memory architecture for agentic systems, grounded in bounded activation flow, stability-modulated temporal decay, depth-limited propagation, periodic washout, and structural pruning. This technical report formulates RhizoDB as a non-linear dynamical system over a mutable directed graph and relates its local activation-control mechanisms to broader stabilization approaches for repeated signal composition.
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A specialized database for AI agents that prevents 'memory bloat' and hallucinations by using automated pruning and temporal decay to keep only the most relevant context.
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