LocalLSTC: A Long Short-Term Control Architecture for Locally Deployed GUI Agents
Modern GUI-agent frameworks achieve strong desktop task performance with frontier API models, yet persistent control information often remains implicit in growing interaction trajectories. At each step, the planner reconstructs the active task stage, accumulated evidence, and runtime feedback before deciding the next action. This dependence becomes more pronounced under weaker local reasoning…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
