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- Project Management:
Added issue templates and updated pull request template for better
contribution workflow
Enhanced PR template for clarity and completeness
- 📖 Documentation & Research:
Published long version of MemOS paper
Updated citations and references
Migrated all documentation to dedicated MemOS-Docs repository
Improved documentation structure and accessibility
- 🧪 Evaluation & Testing:
Added evaluation configuration examples
Implemented run locomo eval script for performance testing
Fixed redundant memory search branches in evaluation system
- 🔧 Features & Functionality:
Added internet retrieval capabilities to MemOS
Implemented Chain-of-Thought (CoT) functionality
Fixed ParsedTaskGoal usage in examples
Added unrelated memory filtering functionality
Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
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<!--
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Please include a summary of the changes below;
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Fill in the issue number that this PR addresses (if applicable);
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Mention the person who will review this PR (if you know who it is);
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Replace (summary), (issue), and (reviewer) with the appropriate information (No parentheses).
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Fixes # (issue)
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请在下方填写更改的摘要;
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填写此 PR 解决的问题编号(如果适用);
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提及将审查此 PR 的人(如果您知道是谁);
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替换 (summary)、(issue) 和 (reviewer) 为适当的信息(不带括号)。
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-->
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## Type of change
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Summary: (summary)
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Please delete options that are not relevant.
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Fix: #(issue)
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-[ ] Bug fix (non-breaking change which fixes an issue)
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-[ ] New feature (non-breaking change which adds functionality)
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-[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
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-[ ] Refactor (does not change functionality, e.g. code style improvements, linting)
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-[ ] Documentation update
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## How Has This Been Tested?
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Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
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-[ ] Unit Test
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-[ ] Test Script (please provide)
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Reviewer: @(reviewer)
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## Checklist:
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-[ ] My code follows the style guidelines of this project
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-[ ] I have performed a self-review of my own code
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-[ ] I have commented my code, particularly in hard-to-understand areas
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-[ ] My changes generate no new warnings
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-[ ] I have added tests that prove my fix is effective or that my feature works
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-[ ] New and existing unit tests pass locally with my changes
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-[ ] I have checked my code and corrected any misspellings
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## Maintainer Checklist
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-[ ] closes #xxxx (Replace xxxx with the GitHub issue number)
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-[ ] Made sure Checks passed
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-[ ] I have performed a self-review of my own code | 我已自行检查了自己的代码
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-[ ] I have commented my code in hard-to-understand areas | 我已在难以理解的地方对代码进行了注释
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-[ ] I have added tests that prove my fix is effective or that my feature works | 我已添加测试以证明我的修复有效或功能正常
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-[ ] I have added necessary documentation (if applicable) | 我已添加必要的文档(如果适用)
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-[ ] I have linked the issue to this PR (if applicable) | 我已将 issue 链接到此 PR(如果适用)
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-[ ] I have mentioned the person who will review this PR | 我已提及将审查此 PR 的人
If you use MemOS in your research, please cite our paper:
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> [!NOTE]
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> We publicly released the Short Version on **May 28, 2025**, making it the earliest work to propose the concept of a Memory Operating System for LLMs.
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If you use MemOS in your research, we would appreciate citations to our papers.
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```bibtex
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@article{li2025memos,
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@article{li2025memos_long,
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title={MemOS: A Memory OS for AI System},
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author={Li, Zhiyu and Song, Shichao and Xi, Chenyang and Wang, Hanyu and Tang, Chen and Niu, Simin and Chen, Ding and Yang, Jiawei and Li, Chunyu and Yu, Qingchen and Zhao, Jihao and Wang, Yezhaohui and Liu, Peng and Lin, Zehao and Wang, Pengyuan and Huo, Jiahao and Chen, Tianyi and Chen, Kai and Li, Kehang and Tao, Zhen and Ren, Junpeng and Lai, Huayi and Wu, Hao and Tang, Bo and Wang, Zhenren and Fan, Zhaoxin and Zhang, Ningyu and Zhang, Linfeng and Yan, Junchi and Yang, Mingchuan and Xu, Tong and Xu, Wei and Chen, Huajun and Wang, Haofeng and Yang, Hongkang and Zhang, Wentao and Xu, Zhi-Qin John and Chen, Siheng and Xiong, Feiyu},
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journal={arXiv preprint arXiv:2507.03724},
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year={2025},
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url={https://arxiv.org/abs/2507.03724}
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}
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@article{li2025memos_short,
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title={MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models},
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author={Li, Zhiyu and Song, Shichao and Wang, Hanyu and Niu, Simin and Chen, Ding and Yang, Jiawei and Xi, Chenyang and Lai, Huayi and Zhao, Jihao and Wang, Yezhaohui and others},
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journal={arXiv preprint arXiv:2505.22101},
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year={2025}
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year={2025},
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url={https://arxiv.org/abs/2505.22101}
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}
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@article{yang2024memory3,
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author = {Yang, Hongkang and Zehao, Lin and Wenjin, Wang and Wu, Hao and Zhiyu, Li and Tang, Bo and Wenqiang, Wei and Wang, Jinbo and Zeyun, Tang and Song, Shichao and Xi, Chenyang and Yu, Yu and Kai, Chen and Xiong, Feiyu and Tang, Linpeng and Weinan, E},
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title = {Memory$^3$: Language Modeling with Explicit Memory},
We welcome contributions from the community! Please read our [contribution guidelines](./docs/contribution/overview.md) to get started.
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We welcome contributions from the community! Please read our [contribution guidelines](https://memos.openmem.net/docs/contribution/overview) to get started.
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## 📄 License
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@@ -220,6 +250,7 @@ MemOS is licensed under the [Apache 2.0 License](./LICENSE).
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Stay up to date with the latest MemOS announcements, releases, and community highlights.
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-**2025-07-07** – 🎉 *MemOS 1.0 (Stellar) Preview Release*: A SOTA Memory OS for LLMs is now open-sourced.
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-**2025-07-04** – 🎉 *MemOS Paper Released*: [MemOS: A Memory OS for AI System](https://arxiv.org/abs/2507.03724) was published on arXiv.
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-**2025-05-28** – 🎉 *Short Paper Uploaded*: [MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models](https://arxiv.org/abs/2505.22101) was published on arXiv.
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-**2024-07-04** – 🎉 *Memory3 Model Released at WAIC 2024*: The new memory-layered architecture model was unveiled at the 2024 World Artificial Intelligence Conference.
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-**2024-07-01** – 🎉 *Memory3 Paper Released*: [Memory3: Language Modeling with Explicit Memory](https://arxiv.org/abs/2407.01178) introduces the new approach to structured memory in LLMs.
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