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1 points•0 comments•54m ago•by gmays•arxiv.org ↗

Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents

Researchers propose a proactive memory agent that runs alongside a standard action agent to address behavioral state decay in long-horizon tasks, updating a structured memory bank from recent trajectories and injecting memory-grounded reminders when needed. The memory module is plug-and-play with frontier action agents and improves pass@1 on Terminal-Bench 2.0 by 8.3 percentage points and on τ^2-Bench by 6.8 points, with ablations showing selective intervention is preferable to passive memory exposure or always-on guidance. The work also reports training Qwen3.5-27B on SETA with SFT and GRPO, achieving validation reward gains and partial transfer to Terminal-Bench as an early step toward open-weight memory policies.

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