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Environment-Probing Curation Boosts Agent Memory in Enterprise Use Cases

Persistent memory is now entering production-oriented agent platforms to help long-horizon agents accumulate experience across sessions. However, post-task curator agents that only have access to completed trajectories can lead to errors, overgeneralization of partial evidence, or retention of stale knowledge. To address this issue, researchers introduced environment-probing curation—a…

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Key points

  • Environment-probing curation introduced for enterprise agents
  • Improves pass rate from 39% to 73% on CLBench database exploration
  • Reduces queries per question from 8.8 to 4.7
Read the original at arXiv cs.AI · by Susheel Suresh, Hazel Mak, Sahil Bhatnagar, Chhaya Methani, Alejandro Gutierrez Munoz primary source Open source ↗
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