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 sourceOpen source ↗
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