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Proactive memory for long-horizon agents

A paper dated July 10, 2026 presents a separate memory agent that maintains structured information and decides when to offer reminders to an action agent.

Published on July 10, 2026, the paper describes a separate memory agent: it maintains structured memories and decides when to present reminders to the action agent. The proposal addresses tasks with lengthening agent trajectories, where earlier decisions may remain relevant.

The approach is evaluated on Terminal-Bench 2.0 and tau-squared-Bench. The available summary gives no quantitative results or comparative conclusions; consult the original paper to verify its methods, metrics, and findings. If you use AI to study or apply the proposal, avoid submitting personal data or confidential documents without authorization and suitable controls.

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