Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2604.19541.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

FOCAL is a privacy-first, on-device multi-agent system that turns continuous desktop interaction streams into task-organized personal logs. A Filter, Brain, Record, and Memory agent cascade cuts token use by 60.4% and VLM calls by 72.3%, and on DesktopBench it holds Task Accuracy at 0.81 under A→B→A interruptions versus 0.03 for the baseline.

Specific multi-agent architecture for on-device desktop summarization, with a benchmark showing task-isolated memory keeps accuracy where a baseline collapses on interruptions.

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