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Suggestion: Consider Citing "A-Mem: Agentic Memory for LLM Agents" #2

@WujiangXu

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@WujiangXu

Hi authors,

Thank you for your excellent work on "Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks." The concept of an experience-driven, self-evolving agent is a fascinating and significant step forward for solving long-horizon problems.

I'm writing to gently suggest a relevant paper that could be a good addition to your related work section: "A-Mem: Agentic Memory for LLM Agents", which was accepted at NeurIPS 2025.

Our paper proposes a novel framework for agentic memory, which is a core component for any agent that needs to learn from past experiences. Since your work focuses on an "experience-driven" agent, we believe the memory architecture discussed in "A-Mem" is highly relevant and could provide valuable context for readers.

For your convenience, here is the citation information:

Title: A-Mem: Agentic Memory for LLM Agents

Conference: NeurIPS 2025

Link to paper: https://arxiv.org/abs/2502.12110

Thank you for your consideration and for your contribution to the community!

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