Fang et al. (2026)

Memp: Exploring Agent Procedural Memory

Findings of the Association for Computational Linguistics: ACL 2026, 17490-17502

Find It

DOI

Reference

Fang, R., Liang, Y., Wang, X., Wu, J., Qiao, S., Xie, P., Huang, F., Chen, H., & Zhang, N. (2026). Memp: Exploring Agent Procedural Memory. Findings of the Association for Computational Linguistics: ACL 2026, 17490-17502. https://doi.org/10.18653/v1/2026.findings-acl.866

What Rests on This

1 mechanism cites this source. Each finding below is quoted as it appears on that mechanism's own page.

Procedural Memory Memory Systems

Measured in AI

Outside comparisons with people, AI agents (systems that act step by step toward a goal) can now save procedural memory, distilling past attempts into step-by-step instructions and scripts; this raised task success on TravelPlanner and ALFWorld, and the saved memory also improved weaker models, but no human baseline was run