Call for papers: Augmented LLM Agents

Call for papers:Special Issue of The Knowledge Engineering Review on 
Memory-Augmented LLM Agents

*Introduction*
“Memory-Augmented LLM Agents” aims to bring together cutting-edge 
research at the intersection of LLMs, memory architectures, agent 
systems, and knowledge engineering, to address foundational and applied 
challenges in developing memory-augmented LLM agents. We invite original 
research papers, applied studies, and open-source resources (e.g. tools, 
benchmarks, datasets) that focus on improving the memory, reasoning, and 
adaptability of LLM-based agents through structured knowledge, continual 
learning, and multi-agent coordination.
*Topics of interest include, but are not limited to:*
1. Memory augmented architectures for LLM-based agents
2. Symbolic memory integration for long term reasoning and planning
3. Knowledge Mechanisms and Mechanistic Interpretability in LLM/Agents
4. Causal learning for LLM and causal agents
5. Causal Interpretability in LLM/Agents
For more information,please visit: 
https://www.maxapress.com/ker/specials/155
*Guest Editors:*
Dr. Kun Kuang, Zhejiang University, China
Dr. Ningyu Zhang, Zhejiang University, China
Dr. Hang Yu, Shanghai University, China
Dr. Tongtong Wu, Monash University, Australia
*Submission deadline: *December 15, 2026
*Submission System: *https://mc.manuscriptcentral.com/ker
Please feel free to reach out if you require any further information. We 
look forward to receiving your high-quality submission and would 
appreciate it if you could also share this call within your research 
network or potential contributors.


Learn more at https://www.maxapress.com/ker
Submission System: https://mc.manuscriptcentral.com/ker
Contact us: ker@maxapress.com