Skip to content

Fleet Memory Bibliography

References used by the fleet-memory paper set. These are additional to the main bibliography and focus on agent memory systems, distributed sync, and operational reliability.

Agent-memory systems and frameworks

  1. Mem0. "Universal memory layer for AI Agents." GitHub repository, https://github.com/mem0ai/mem0; product site, https://mem0.ai/.
  2. D. Calca, J. Rees, and R. Morris. "Zep: A Temporal Knowledge Graph Architecture for Agent Memory." arXiv:2501.13956 [cs.CL], 2025.
  3. C. Packer, S. Wooders, K. Lin, V. Fang, S. G. Patil, I. Stoica, and J. E. Gonzalez. "MemGPT: Towards LLMs as Operating Systems." arXiv:2310.08560 [cs.AI], 2023.
  4. Q. Wu, G. Bansal, J. Zhang, Y. Wu, S. Zhang, E. Zhu, B. Li, L. Jiang, X. Zhang, and C. Wang. "AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation." arXiv:2308.08155 [cs.AI], 2023.
  5. CrewAI. "Memory — CrewAI." Documentation, https://docs.crewai.com/v1.15.1/en/concepts/memory.
  6. O. Khattab, A. Singhvi, P. Maheshwari, Z. Zhang, K. Santhanam, S. Vardhamanan, S. Haq, A. Sharma, T. Joshi, H. Moazam, H. Miller, and M. Zaharia. "DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines." arXiv:2310.03714 [cs.CL], 2023.
  7. J. S. Park, J. C. O'Brien, C. J. Cai, M. R. Morris, P. Liang, and M. S. Bernstein. "Generative Agents: Interactive Simulacra of Human Behaviour." ACM UIST, 2023.

Distributed systems and sync

  1. E. Brewer. "Towards Robust Distributed Systems." PODC keynote, 2000. (CAP theorem.)
  2. M. Shapiro, N. Preguiça, C. Baquero, and M. Zawirski. "A Comprehensive Study of Convergent and Commutative Replicated Data Types." Research Report 7506, Inria, 2011.
  3. L. Lamport. "Time, Clocks, and the Ordering of Events in a Distributed System." Communications of the ACM, 21(7):558–565, 1978.
  4. Redis. "Redis Pub/Sub." Redis Documentation, https://redis.io/docs/latest/develop/pubsub/.

Reliability engineering

  1. B. Beyer, C. Jones, J. Petoff, and N. R. Murphy. Site Reliability Engineering: How Google Runs Production Systems. O'Reilly Media, 2016; 2nd ed., 2024.
  2. A. Gawande. The Checklist Manifesto: How to Get Things Right. Metropolitan Books, 2009.
  3. J. Allspaw. The Field Guide to Understanding 'Human Error'. 3rd ed. Productivity Press, 2015.
  4. S. Dekker. Drift into Failure: From Hunting Broken Components to Understanding Complex Systems. Ashgate, 2011.
  5. S. Dekker. Just Culture: Balancing Safety and Accountability. Ashgate, 2012.
  6. M. T. Nygard. Release It! Design and Deploy Production-Ready Software. Pragmatic Bookshelf, 2007; 2nd ed., 2018.

Evaluation and benchmarks

  1. D. Hendrycks, C. Burns, S. Basart, A. Zou, M. Mazeika, D. Song, and J. Steinhardt. "Measuring Massive Multitask Language Understanding." ICLR, 2021.
  2. X. Liu, H. Yu, H. Zhang, Y. Xu, X. Lei, H. Lai, Y. Gu, K. Ding, K. Men, K. Yang, S. Zhang, X. Deng, A. Zeng, Z. Du, C. Zhang, S. Shen, T. Zhang, Y. Su, H. Sun, M. Huang, D. Dong, and J. Tang. "AgentBench: Evaluating LLMs as Agents." arXiv:2308.03688 [cs.AI], 2023.
  3. C. Jimenez, J. Yang, A. Wettig, S. Yao, K. Pei, O. Press, and K. Narasimhan. "SWE-bench: Can Language Models Resolve Real-World GitHub Issues?" NeurIPS Datasets and Benchmarks, 2023.
  4. L. Zheng, W. Chiang, Y. Sheng, S. Zhuang, Z. Wu, Y. Liang, Z. Lin, J. Zhu, H. Li, D. Xing, E. Xing, H. Zhang, J. Gonzalez, and I. Stoica. "Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena." NeurIPS, 2023.
  1. STRATUS. "STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds." arXiv:2506.02009 [cs.DC], 2025.