arxiv
PublishedJune 3, 2026 at 4:00 AM
—neutral
DMF: A Deterministic Memory Framework for Conversational AI Agents
Publisher summary· verbatim
arXiv:2606.03463v1 Announce Type: new Abstract: Conversational AI agents require memory systems that are both scalable and semantically coherent across long interaction horizons. Existing approaches rely predominantly on large language model (LLM)-based summarisation at write time, which introduces
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning14harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning14harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models14harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents14hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗