Zenodo (CERN European Organization for Nuclear Research)· 2026
RhizoDB: A Bounded Activation-Flow Architecture for Graph-Based Memory Systems
- 913citations
- 2026year
Short summary
RhizoDB introduces a novel graph-based memory architecture for agentic systems, utilizing bounded activation flow and stability-modulated temporal decay.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces RhizoDB, a graph-based memory architecture for agentic systems.
- Employs bounded activation flow and stability-modulated temporal decay.
- Models RhizoDB as a non-linear dynamical system over a mutable directed graph.
- Connects local activation control to signal composition stabilization.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Zenodo (CERN European Organization for Nuclear Research), 2026 · DOI ↗
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Field: Artificial Intelligence
Artificial IntelligenceComputer Science