FocusMem: Factorizing Latent Memory in GUI Agents with a Trust Gate
Zhuoran Zhang · hf · 2026-08-06
To address issues in latent memory for GUI agents—such as detail loss during compression and fixed memory blocks struggling to serve different decision stages—researchers introduced the FocusMem framework.
This architecture factorizes memory responsibilities into three core components:
- Role-aware Content Basis: Encourages episodic memory to retain reusable experience and working memory to retain task progress.
- State-conditioned Readout: Generates a decision-specific view of the same stored evidence.
- Lightweight Trust Gate: Suppresses memory blocks irrelevant to the current step to reduce misleading signals.
Experiments show that with the GUI policy frozen, FocusMem consistently outperforms action-only fixed-memory baselines across five benchmarks. Analysis confirms the complementarity of semantic and functional supervision, and the trust gate's effectiveness in mitigating harm from injected irrelevant evidence.
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