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 backbones. Across four representative state-of-the-art frameworks, replacing GPT-5 with Qwen3.5-9B reduces average OSWorld SR-100 from 60.9\% to 35.2\%. Trajectory annotation further identifies at least one control failure in 94.7\% of failed trajectories. To address this problem, we introduce LocalL...
| Authors | Weiming Li, Helen Paik, Yulei Sui |
|---|---|
| Primary category | cs.AI |
| Published | 26 August 2026 |
| Last updated at source | 25 September 2026 |
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