Proactive memory for long-horizon agents
A paper describes a separate memory agent that maintains structured records and decides when to present reminders to an action agent. The approach was evaluated on Terminal-Bench 2.0 and tau-squared-Bench.
Source: Memória proativa para agentes de horizonte longo (arxiv.org). Text prepared with AI from this source.
What happened and what to do
Published on July 10, 2026, the paper presents a separate memory agent: it maintains structured memories and decides when to present reminders to the action agent. The approach was evaluated on Terminal-Bench 2.0 and tau-squared-Bench; the text does not report numerical results.
A company running agents on long tasks could implement a memory component to preserve task state and earlier decisions, with rules for selecting and delivering relevant reminders. A project could include integration with existing agents, monitoring memory retrieval, and testing on tasks representative of the operation.
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Wendelmaques can diagnose how a company’s agents retain context, scope a structured memory system, and implement its integration, monitoring, and operation, with test criteria suited to the business tasks.
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