chore: bump version number to v0.2.0 (#66)

Recent updates include:

Updated feature request template and documentation links/images
Added structure reorganizer and conflict resolver functionality
Implemented OpenAI memory integration with evaluation guide
Updated memory reader with bug fixes

Key changes: Template improvements, new conflict resolution tools,
memory system enhancements, and bug fixes.

Author: fridayL

.github/CONTRIBUTING

@@ -1,3 +1,3 @@
-Please read https://memos.openmem.net/docs/contribution/overview to learn how to contribute to this repository. 🌟
+Please read https://memos-docs.openmem.net/contribution/overview to learn how to contribute to this repository. 🌟
 
-请阅读 https://memos.openmem.net/docs/contribution/overview 了解如何为此项目贡献代码。🌟
+请阅读 https://memos-docs.openmem.net/contribution/overview 了解如何为此项目贡献代码。🌟

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -2,40 +2,34 @@ name: "\U0001F680 Feature request"
 description: Submit a request for a new feature
 labels: ["enhancement", "pending"]
 body:
-  - type: markdown
-    attributes:
-      value: |
-        Please do not create issues that are not related to new features under this category.
-        请勿在此分类下创建和新特性无关的 issues。
-
   - type: checkboxes
-    id: reminder
+    id: checklist
     attributes:
-      label: Reminder
-      description: |
-        Please ensure you have read the above rules carefully and searched the existing issues.
-        请确保您已经认真阅读了上述规则并且搜索过现有的 issues。
-
+      label: Pre-submission checklist
       options:
-        - label: I have read the above rules and searched the existing issues.
+        - label: I have searched existing issues and this feature hasn't been requested before | 我已搜索现有问题，确认此功能尚未被请求
+          required: true
+        - label: I have read the project documentation and confirmed this feature doesn't already exist | 我已阅读项目文档并确认此功能尚未存在
+          required: true
+        - label: This feature request is specific to MemOS and not a general software issue | 该功能请求是针对 MemOS 的，而不是一般软件问题
           required: true
 
   - type: textarea
-    id: description
+    id: problem
     validations:
       required: true
     attributes:
-      label: Description
-      description: |
-        A clear and concise description of the feature proposal.
-        请详细描述您希望加入的新功能特性。
+      label: Problem Statement
+      placeholder: |
+        Describe the problem you're trying to solve...
+        Example: "As a developer using MemOS, I find it difficult to..."
 
-  - type: textarea
+  - type: checkboxes
     id: contribution
-    validations:
-      required: false
     attributes:
-      label: Pull Request
-      description: |
-        Have you already created the relevant PR and submitted the code?
-        您是否已经创建了相关 PR 并提交了代码？
+      label: Implementation Contribution
+      options:
+        - label: I'm willing to implement this feature myself | 我愿意自己实现此功能
+          required: false
+        - label: I would like someone else to implement this | 我希望其他人来实现此功能
+          required: false

.gitignore

@@ -11,6 +11,7 @@ evaluation/*tmp/
 evaluation/results
 evaluation/.env
 evaluation/configs/*
+**tree_textual_memory_locomo**
 .env
 
 # Byte-compiled / optimized / DLL files
@@ -165,6 +166,7 @@ venv.bak/
 *.xlsx
 *.json
 *.pkl
+*.html
 
 # but do not ignore docs/openapi.json
 !docs/openapi.json

README.md

@@ -1,12 +1,10 @@
 <div align="center">
   <a href="https://memos.openmem.net/">
-    <img src="docs/assets/banner_new.gif" alt="MemOS Banner">
+    <img src="https://statics.memtensor.com.cn/memos/memos-banner.gif" alt="MemOS Banner">
   </a>
 
-
-
 <h1 align="center">
-  <img src="docs/assets/memos_logo.png" alt="MemOS Logo" width="50"/> MemOS 1.0: 星河 (Stellar)  <img src="https://img.shields.io/badge/status-Preview-blue" alt="Preview Badge"/>
+  <img src="https://statics.memtensor.com.cn/logo/memos_color_m.png" alt="MemOS Logo" width="50"/> MemOS 1.0: 星河 (Stellar)  <img src="https://img.shields.io/badge/status-Preview-blue" alt="Preview Badge"/>
 </h1>
 
   <p>
@@ -19,7 +17,7 @@
     <a href="https://pypi.org/project/MemoryOS">
       <img src="https://img.shields.io/pypi/pyversions/MemoryOS.svg" alt="Supported Python versions">
     </a>
-    <a href="https://memos.openmem.net/docs/home">
+    <a href="https://memos-docs.openmem.net/home/overview/">
       <img src="https://img.shields.io/badge/Documentation-view-blue.svg" alt="Documentation">
     </a>
     <a href="https://arxiv.org/abs/2507.03724">
@@ -31,7 +29,7 @@
     <a href="https://discord.gg/Txbx3gebZR">
       <img src="https://img.shields.io/badge/Discord-join%20chat-7289DA.svg?logo=discord" alt="Discord">
     </a>
-    <a href="docs/assets/qr_code.png">
+    <a href="https://statics.memtensor.com.cn/memos/qr-code.png">
       <img src="https://img.shields.io/badge/WeChat-Group-07C160.svg?logo=wechat" alt="WeChat Group">
     </a>
     <a href="https://opensource.org/license/apache-2-0/">
@@ -42,17 +40,14 @@
 
 ---
 
-  <a href="https://memos.openmem.net/">
-    <img src="docs/assets/sota_score.jpg" alt="SOTA SCORE">
-  </a>
-
+<img src="https://statics.memtensor.com.cn/memos/sota_score.jpg" alt="SOTA SCORE">
 
 **MemOS** is an operating system for Large Language Models (LLMs) that enhances them with long-term memory capabilities. It allows LLMs to store, retrieve, and manage information, enabling more context-aware, consistent, and personalized interactions.
 
-- **Website**: <a href="https://memos.openmem.net/" target="_blank">https://memos.openmem.net/</a>
-- **Documentation**: <a href="https://memos.openmem.net/docs/home" target="_blank">https://memos.openmem.net/docs/home</a>
-- **API Reference**: <a href="https://memos.openmem.net/docs/api/info" target="_blank">https://memos.openmem.net/docs/api/info</a>
-- **Source Code**: <a href="https://github.com/MemTensor/MemOS" target="_blank">https://github.com/MemTensor/MemOS</a>
+- **Website**: https://memos.openmem.net/
+- **Documentation**: https://memos-docs.openmem.net/home/overview/
+- **API Reference**: https://memos-docs.openmem.net/docs/api/info/
+- **Source Code**: https://github.com/MemTensor/MemOS
 
 ## 📈 Performance Benchmark
 
@@ -66,19 +61,12 @@ MemOS demonstrates significant improvements over baseline memory solutions in mu
 
 > 💡 **Temporal reasoning accuracy improved by 159% compared to the OpenAI baseline.**
 
-
-
 ### Details of End-to-End Evaluation on LOCOMO
 
 > [!NOTE]
 > Comparison of LLM Judge Scores across five major tasks in the LOCOMO benchmark. Each bar shows the mean evaluation score judged by LLMs for a given method-task pair, with standard deviation as error bars. MemOS-0630 consistently outperforms baseline methods (LangMem, Zep, OpenAI, Mem0) across all task types, especially in multi-hop and temporal reasoning scenarios.
 
-<a href="https://memos.openmem.net/">
-  <img src="docs/assets/score_all_end2end.jpg" alt="END2END SCORE">
-</a>
-
-
-
+<img src="https://statics.memtensor.com.cn/memos/score_all_end2end.jpg" alt="END2END SCORE">
 
 ## ✨ Key Features
 
@@ -196,7 +184,7 @@ Join our community to ask questions, share your projects, and connect with other
 - **Discord**: Join our <a href="https://discord.gg/Txbx3gebZR" target="_blank">Discord Server</a>.
 - **WeChat**: Scan the QR code to join our WeChat group.
 
-<img src="docs/assets/qr_code.png" alt="QR Code" width="600">
+<img src="https://statics.memtensor.com.cn/memos/qr-code.png" alt="QR Code" width="600">
 
 ## 📜 Citation
 
@@ -239,7 +227,7 @@ url = {https://global-sci.com/article/91443/memory3-language-modeling-with-expli
 
 ## 🙌 Contributing
 
-We welcome contributions from the community! Please read our [contribution guidelines](https://memos.openmem.net/docs/contribution/overview) to get started.
+We welcome contributions from the community! Please read our [contribution guidelines](https://memos-docs.openmem.net/contribution/overview) to get started.
 
 ## 📄 License
 

docs/assets/banner_new.gif

@@ -25,10 +25,12 @@ This repository provides tools and scripts for evaluating the LoCoMo dataset usi
 ## Evaluation Scripts
 
 ### LoCoMo Evaluation
-To evaluate the **LoCoMo** dataset using one of the supported memory frameworks — `memos`, `mem0`, or `zep` — run the following command:
+⚙️ To evaluate the **LoCoMo** dataset using one of the supported memory frameworks — `memos`, `mem0`, or `zep` — run the following [script](./scripts/run_locomo_eval.sh):
 
 ```bash
 # Edit the configuration in ./scripts/run_locomo_eval.sh
 # Specify the model and memory backend you want to use (e.g., mem0, zep, etc.)
 ./scripts/run_locomo_eval.sh
 ```
+
+✍️ For evaluating OpenAI's native memory feature with the LoCoMo dataset, please refer to the detailed guide: [OpenAI Memory on LoCoMo - Evaluation Guide](./scripts/locomo/openai_memory_locomo_eval_guide.md).