Mem-W
Mem-W: Latent Memory-Native GUI Agents
Guibin Zhang, Yaohui Ling, Fanci Meng, Kun Wang, Shuicheng Yan · 2026-05-10
- Management
- T2 Dynamic Memory
- Memory changes during deployment through a stable management policy.
- Representation
- Internalized latent & parametric
How experience becomes memory
Each path is one memory component, traced from what is stored to how it is found again.
compressed historical trajectories and expired in-session segments
- Represented asPersistent multimodal latent stateInternalized latent & parametric
- Stored inVector-indexed collection, Flat sequential records
- Retrieved bySimilarity search, Latent / parametric activation
- Source evidenceSource not retained
A shared trajectory-to-latent compressor converts retrieved historical trajectories and expired current-session segments into compact tokens woven into the live policy context.Full paper: 3 Method · PDF p. 4 · Figure 1
How memory changes (T2 operations)
Update · Learned update module
As the session advances, expired trajectory prefixes are compressed by the trained module into new latent working-memory blocks. For Mem-W, this specifically supports a trained but frozen update module of compressed historical trajectories and expired in-session segments.
Related systems
- HyMEMT2 · GUI & computer use
- Agentic ASRT2 · Audio & speech
- Auto-scaling Continuous MemoryT1 · GUI & computer use
- ECHOT2 · Embodied & 3D
- EchoVLAT2 · Embodied & 3D
- Embodied-SlotSSMT2 · Embodied & 3D