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AI agent frameworks operate in isolation, forcing agents to rediscover solutions and repeat mistakes across different systems.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, et al · 2005
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Memory consolidation
Larry R Squire, Lisa Genzel, John T Wixted, and Richard G Morris · 2015
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Retrieval augmentation reduces hallucination in conversation
Kurt Shuster, Spencer Poff, Moya Chen, Douwe Kiela, and Jason Weston · 2021
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Chateval: Towards better llm-based evaluators through multi-agent debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu · 2023
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Metagpt: Meta programming for multi-agent collaborative framework
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al · 2023
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Swe-bench: Can language models resolve real-world github issues?
Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan · 2023
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Dspy: Compiling declarative language model calls into self-improving pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T Joshi, Hanna Moazam, et al · 2023
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Memochat: Tuning llms to use memos for consistent long-range open-domain conversation
Junru Lu, Siyu An, Mingbao Lin, Gabriele Pergola, Yulan He, Di Yin, Xing Sun, and Yunsheng Wu · 2023
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Gaia: a benchmark for general ai assistants
Grégoire Mialon, Clémentine Fourrier, Thomas Wolf, Yann LeCun, and Thomas Scialom · 2023
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Memgpt: Towards LLMs as operating systems
Charles Packer, Sarah Wooders, Kevin Lin, Vivian Fang, Shishir G. Patil, Ion Stoica, and Joseph E. Gonzalez · 2023
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Repocoder: Repository-level code completion through iterative retrieval and generation
Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, and Weizhu Chen · 2023
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Synapse: Trajectory-as-exemplar prompting with memory for computer control
Longtao Zheng, Rundong Wang, Xinrun Wang, and Bo An · 2023
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Agents: An open-source framework for autonomous language agents
Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, et al · 2023
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Desearch, 2024
Desearch AI · 2024
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Arigraph: Learning knowledge graph world models with episodic memory for llm agents
Petr Anokhin, Nikita Semenov, Artyom Sorokin, Dmitry Evseev, Mikhail Burtsev, and Evgeny Burnaev · 2024
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Tapeagents: a holistic framework for agent development and optimization, 2024
Dzmitry Bahdanau, Nicolas Gontier, Gabriel Huang, Ehsan Kamalloo, Rafael Pardinas, Alex Piché, Torsten Scholak, Oleh Shliazhko, Jordan Prince Tremblay, Karam Ghanem, Soham Parikh, Mitul Tiwari, and Quaizar Vohra · 2024
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Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, and Suresh Parthasarathy · 2024
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Magentic-one: A generalist multi-agent system for solving complex tasks
Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, et al · 2024
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Large language model based multi-agents: A survey of progress and challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V Chawla, Olaf Wiest, and Xiangliang Zhang · 2024
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Hipporag: Neurobiologically inspired long-term memory for large language models
Bernal Jiménez Gutiérrez, Yiheng Shu, Yu Gu, Michihiro Yasunaga, and Yu Su · 2024
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Autonomous agentic ai: execute multi-step workflows autonomously
H2O.ai · 2024
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Mengkang Hu, Tianxing Chen, Qiguang Chen, Yao Mu, Wenqi Shao, and Ping Luo · 2024
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A human-inspired reading agent with gist memory of very long contexts
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, and Ian Fischer · 2024
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Coarse-to-fine highlighting: Reducing knowledge hallucination in large language models
Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, and Feng Wu · 2024
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Mitigating hallucinations in large language models via self-refinement-enhanced knowledge retrieval
Mengjia Niu, Hao Li, Jie Shi, Hamed Haddadi, and Fan Mo · 2024
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Owl: Optimized workforce learning for general multi-agent assistance in real-world task automation, 2025
Mengkang Hu, Yuhang Zhou, Wendong Fan, Yuzhou Nie, Bowei Xia, Tao Sun, Ziyu Ye, Zhaoxuan Jin, Yingru Li, Zeyu Zhang, Yifeng Wang, Qianshuo Ye, Ping Luo, and Guohao Li · 2025
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Unified mind model: Reimagining autonomous agents in the llm era
Pengbo Hu and Xiang Ying · 2025
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Hybrid retrieval for hallucination mitigation in large language models: A comparative analysis
Chandana Sree Mala, Gizem Gezici, and Fosca Giannotti · 2025
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Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Chen Bo Calvin Zhang, Mohamed Shaaban, John Ling, Sean Shi, et al · 2025
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OpenAI · 2024
Cited alongside, same era.
Training software engineering agents and verifiers with swe-gym
Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, and Yizhe Zhang · 2024
Cited alongside, same era.
Agent planning with world knowledge model
Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, and Huajun Chen · 2024
Cited alongside, same era.
Gpqa: A graduate-level google-proof q&a benchmark
David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R Bowman · 2024
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Meet trase systems
Trase · 2024
Cited alongside, same era.
Generate-on-graph: Treat llm as both agent and kg in incomplete knowledge graph question answering
Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Kang Liu, and Jun Zhao · 2024
Cited alongside, same era.
Swe-agent: Agent-computer interfaces enable automated software engineering, 2024
John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press · 2024
Cited alongside, same era.
On the structural memory of llm agents
Ruihong Zeng, Jinyuan Fang, Siwei Liu, and Zaiqiao Meng · 2024
Cited alongside, same era.
Jinghua Piao, Yuwei Yan, Jun Zhang, Nian Li, Junbo Yan, Xiaochong Lan, Zhihong Lu, Zhiheng Zheng, Jing Yi Wang, Di Zhou, et al · 2025
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Position: Episodic memory is the missing piece for long-term llm agents
Mathis Pink, Qinyuan Wu, Vy Ai Vo, Javier Turek, Jianing Mu, Alexander Huth, and Mariya Toneva · 2025
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Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, et al · 2025
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‘smolagents‘: a smol library to build great agentic systems
Aymeric Roucher, Albert Villanova del Moral, Thomas Wolf, Leandro von Werra, and Erik Kaunismäki · 2025
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Meminsight: Autonomous memory augmentation for llm agents
Rana Salama, Jason Cai, Michelle Yuan, Anna Currey, Monica Sunkara, Yi Zhang, and Yassine Benajiba · 2025
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Exploring the pre-conditions for memory-learning agents
Vishwa Shah, Vishruth Veerendranath, Graham Neubig, Daniel Fried, and Zora Zhiruo Wang · 2025
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About 30% of humanity’s last exam chemistry/biology answers are likely wrong
Michael Skarlinski, Jon Laurent, Albert Bou, and Andrew White · 2025
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Learn-by-interact: A data-centric framework for self-adaptive agents in realistic environments
Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, and Sercan Ö Arık · 2025
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Meta-agent-workflow: Streamlining tool usage in llms through workflow construction, retrieval, and refinement
Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, and Yuan Qi · 2025
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Autoagent: A fully-automated and zero-code framework for llm agents
Jiabin Tang, Tianyu Fan, and Chao Huang · 2025
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Mobile-agent-e: Self-evolving mobile assistant for complex tasks
Zhenhailong Wang, Haiyang Xu, Junyang Wang, Xi Zhang, Ming Yan, Ji Zhang, Fei Huang, and Heng Ji · 2025
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A-mem: Agentic memory for llm agents
Wujiang Xu, Zujie Liang, Kai Mei, Hang Gao, Juntao Tan, and Yongfeng Zhang · 2025
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Task memory engine (tme): Enhancing state awareness for multi-step llm agent tasks
Ye Ye · 2025
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Ecoassistant: Using llm assistants more affordably and accurately
Jieyu Zhang, Ranjay Krishna, Ahmed Hassan Awadallah, and Chi Wang · 2025
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Eventweave: A dynamic framework for capturing core and supporting events in dialogue systems
Zhengyi Zhao, Shubo Zhang, Yiming Du, Bin Liang, Baojun Wang, Zhongyang Li, Binyang Li, and Kam-Fai Wong · 2025
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Oagents: An empirical study of building effective agents
He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Yi Yao, Hanhao Li, Ningning Wang, Pai Liu, et al · 2025
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