Built on

Dense passage retrieval for open-domain question answering
Original
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen tau Yih. 2020 · 2004
Earlier work this paper cites.
Billion-scale similarity search with gpus
Original
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2017 · 2017
Earlier work this paper cites.
React: Synergizing reasoning and acting in language models
Original
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023 · 2023
Earlier work this paper cites.
Memorybank: Enhancing large language models with long-term memory
Original
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang. 2023 · 2023
Earlier work this paper cites.
Ghost in the minecraft: Generally capable agents for open-world environments via large language models with text-based knowledge and memory
Original
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, and Jifeng Dai. 2023 · 2023
Earlier work this paper cites.
Arigraph: Learning knowledge graph world models with episodic memory for llm agents
Original
Petr Anokhin, Nikita Semenov, Artyom Sorokin, Dmitry Evseev, Mikhail Burtsev, and Evgeny Burnaev. 2024 · 2024
Earlier work this paper cites.
“my agent understands me better”: Integrating dynamic human-like memory recall and consolidation in llm-based agents
Yuki Hou, Haruki Tamoto, and Homei Miyashita. 2024 · 2024
Earlier work this paper cites.

Similar

Hiagent: Hierarchical working memory management for solving long-horizon agent tasks with large language model
Original
Mengkang Hu, Tianxing Chen, Qiguang Chen, Yao Mu, Wenqi Shao, and Ping Luo. 2024 · 2024
Cited alongside, same era.
A human-inspired reading agent with gist memory of very long contexts
Original
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, and Ian Fischer. 2024 · 2024
Cited alongside, same era.
LLM-REDIAL: A large-scale dataset for conversational recommender systems created from user behaviors with LLMs
Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, and Yuyu Yin. 2024 · 2024
Cited alongside, same era.
Evaluating very long-term conversational memory of llm agents
Original
Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, and Yuwei Fang. 2024 · 2024
Cited alongside, same era.

Then

Can large multimodal models uncover deep semantics behind images?
Original
Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, and Zhifang Sui. 2024 · 2024
Later among the works it cites.
A survey on the memory mechanism of large language model based agents
Original
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, and Ji-Rong Wen. 2024 · 2024
Later among the works it cites.
Mem0: Building production-ready ai agents with scalable long-term memory
Original
Prateek Chhikara, Dev Khant, Saket Aryan, Taranjeet Singh, and Deshraj Yadav. 2025 · 2025
Closest in time.
Tremu: Towards neuro-symbolic temporal reasoning for llm-agents with memory in multi-session dialogues
Original
Yubin Ge, Salvatore Romeo, Jason Cai, Raphael Shu, Monica Sunkara, Yassine Benajiba, and Yi Zhang. 2025 · 2025
Closest in time.

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2025

MemInsight: Autonomous Memory Augmentation for LLM Agents

Salama, Rana, Cai, Jason, Yuan, Michelle et al.

Understand

Large language model (LLM) agents have evolved to intelligently process information, make decisions, and interact with users or tools.

A key capability is the integration of long-term memory capabilities, enabling these agents to draw upon historical interactions and knowledge.
However, the growing memory size and need for semantic structuring pose significant challenges.
In this work, we propose an autonomous memory augmentation approach, MemInsight, to enhance semantic data representation and retrieval mechanisms.

Built on

Dense passage retrieval for open-domain question answering
Original
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen tau Yih. 2020 · 2004
Earlier work this paper cites.
Billion-scale similarity search with gpus
Original
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2017 · 2017
Earlier work this paper cites.
React: Synergizing reasoning and acting in language models
Original
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023 · 2023
Earlier work this paper cites.
Memorybank: Enhancing large language models with long-term memory
Original
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang. 2023 · 2023
Earlier work this paper cites.
Ghost in the minecraft: Generally capable agents for open-world environments via large language models with text-based knowledge and memory
Original
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, and Jifeng Dai. 2023 · 2023
Earlier work this paper cites.
Arigraph: Learning knowledge graph world models with episodic memory for llm agents
Original
Petr Anokhin, Nikita Semenov, Artyom Sorokin, Dmitry Evseev, Mikhail Burtsev, and Evgeny Burnaev. 2024 · 2024
Earlier work this paper cites.
“my agent understands me better”: Integrating dynamic human-like memory recall and consolidation in llm-based agents
Yuki Hou, Haruki Tamoto, and Homei Miyashita. 2024 · 2024
Earlier work this paper cites.

Similar

Hiagent: Hierarchical working memory management for solving long-horizon agent tasks with large language model
Original
Mengkang Hu, Tianxing Chen, Qiguang Chen, Yao Mu, Wenqi Shao, and Ping Luo. 2024 · 2024
Cited alongside, same era.
A human-inspired reading agent with gist memory of very long contexts
Original
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, and Ian Fischer. 2024 · 2024
Cited alongside, same era.
LLM-REDIAL: A large-scale dataset for conversational recommender systems created from user behaviors with LLMs
Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, and Yuyu Yin. 2024 · 2024
Cited alongside, same era.
Evaluating very long-term conversational memory of llm agents
Original
Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, and Yuwei Fang. 2024 · 2024
Cited alongside, same era.

Then

Can large multimodal models uncover deep semantics behind images?
Original
Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, and Zhifang Sui. 2024 · 2024
Later among the works it cites.
A survey on the memory mechanism of large language model based agents
Original
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, and Ji-Rong Wen. 2024 · 2024
Later among the works it cites.
Mem0: Building production-ready ai agents with scalable long-term memory
Original
Prateek Chhikara, Dev Khant, Saket Aryan, Taranjeet Singh, and Deshraj Yadav. 2025 · 2025
Closest in time.
Tremu: Towards neuro-symbolic temporal reasoning for llm-agents with memory in multi-session dialogues
Original
Yubin Ge, Salvatore Romeo, Jason Cai, Raphael Shu, Monica Sunkara, Yassine Benajiba, and Yi Zhang. 2025 · 2025
Closest in time.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Memgpt: Towards llms as operating systems

Original

Charles Packer, Sarah Wooders, Kevin Lin, Vivian Fang, Shishir G. Patil, Ion Stoica, and Joseph E. Gonzalez. 2024 · 2024

Cited alongside, same era.

Bridging search and recommendation in generative retrieval: Does one task help the other?

Original

Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco de Nadai, and Hugues Bouchard. 2024 · 2024

Cited alongside, same era.

Online adaptation of language models with a memory of amortized contexts

Original

Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, and Jonathan Richard Schwarz. 2024 · 2024

Cited alongside, same era.

Chatdb: Augmenting llms with databases as their symbolic memory

Original

Chenxu Hu, Jie Fu, Chenzhuang Du, Simian Luo, Junbo Zhao, and Hang Zhao. 2023a

Cited in the paper.

Chatdb: Augmenting llms with databases as their symbolic memory

Original

Chenxu Hu, Jie Fu, Chenzhuang Du, Simian Luo, Junbo Zhao, and Hang Zhao. 2023b

Cited in the paper.

Think-in-memory: Recalling and post-thinking enable llms with long-term memory

Original

Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, and Guannan Zhang. 2023a

Cited in the paper.

G-eval: Nlg evaluation using gpt-4 with better human alignment

Original

Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023b

Cited in the paper.

Mixture-of-agents enhances large language model capabilities

Original

Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, and James Zou. 2024a

Cited in the paper.

Enabling scalable oversight via self-evolving critic

Original

Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, and Junyang Lin. 2025 · 2025

Closest in time.

A-mem: Agentic memory for llm agents

Original

Wujiang Xu, Kai Mei, Hang Gao, Juntao Tan, Zujie Liang, and Yongfeng Zhang. 2025 · 2025

Closest in time.