+ 
@@ -33,6 +34,24 @@ conversations) and **stateless sessions** (new sessions cannot inherit history a
ReMe gives agents **real memory** — old conversations are automatically compacted, important information is persistently
stored, and relevant context is automatically recalled in future interactions.
+
+
+
---
## 📁 File-based memory system (ReMeLight)
@@ -82,7 +101,18 @@ capabilities for AI agents:
#### Installation
+**Install from source:**
+
```bash
+git clone https://github.com/agentscope-ai/ReMe.git
+cd ReMe
+pip install -e ".[light]"
+```
+
+**Update to the latest version:**
+
+```bash
+git pull
pip install -e ".[light]"
```
@@ -546,6 +576,14 @@ For more details on how to reproduce the experiments, see [quickstart.md](benchm
- **Acknowledgements**: We thank excellent open-source projects such as OpenClaw, Mem0, MemU, and CoPaw for their
inspiration and support.
+### Contributors
+
+Thanks to all who have contributed to ReMe:
+
+
+ What you can do with ReMe
+
+
+
+- **Personal assistant**: Provide long-term memory for agents like [CoPaw](https://github.com/agentscope-ai/CoPaw),
+ remembering user preferences and conversation history.
+- **Coding assistant**: Record code style preferences and project context, maintaining a consistent development
+ experience across sessions.
+- **Customer service bot**: Track user issue history and preference settings for personalized service.
+- **Task automation**: Learn success/failure patterns from historical tasks to continuously optimize execution
+ strategies.
+- **Knowledge Q&A**: Build a searchable knowledge base with semantic search and exact matching support.
+- **Multi-turn dialogue**: Automatically compress long conversations while retaining key information within limited
+ context windows.
+
+
+
+
---
## 📄 Citation
@@ -567,6 +605,14 @@ This project is open-sourced under the Apache License 2.0. See [LICENSE](./LICEN
---
+## 🤔 Why ReMe?
+
+ReMe stands for **Remember Me** and **Refine Me**, symbolizing our goal to help AI agents "remember" users and "refine"
+themselves through interactions. We hope ReMe is not just a cold memory module, but a partner that truly helps agents
+understand users, accumulate experience, and continuously evolve.
+
+---
+
## 📈 Star history
[](https://www.star-history.com/#agentscope-ai/ReMe&Date)
diff --git a/README_ZH.md b/README_ZH.md
index bd038f67..1cc60ed4 100644
--- a/README_ZH.md
+++ b/README_ZH.md
@@ -14,6 +14,7 @@
@@ -30,6 +31,19 @@
ReMe 让智能体拥有**真正的记忆力**——旧对话自动浓缩，重要信息持久保存，下次对话自动想起来。
+
+
---
@@ -78,7 +92,18 @@ working_dir/
#### 安装
+**从源码安装：**
+
```bash
+git clone https://github.com/agentscope-ai/ReMe.git
+cd ReMe
+pip install -e ".[light]"
+```
+
+**更新到最新版本：**
+
+```bash
+git pull
pip install -e ".[light]"
```
@@ -527,6 +552,14 @@ Pass@K 衡量在生成 K 个候选中，至少一个成功完成任务（score=1
- **代码贡献**：欢迎任何形式的代码贡献，请参阅 [贡献指南](docs/contribution.md)。
- **致谢**：感谢 OpenClaw、Mem0、MemU、CoPaw 等优秀的开源项目，为项目带来诸多启发与帮助。
+### 贡献者
+
+感谢所有为 ReMe 做出贡献的朋友们：
+
+
+ 你可以用 ReMe 做什么
+
+
+
+- **个人助理**：为 [CoPaw](https://github.com/agentscope-ai/CoPaw) 等智能体提供长期记忆，记住用户偏好和历史对话。
+- **编程助手**：记录代码风格偏好、项目上下文，跨会话保持一致的开发体验。
+- **客服机器人**：记录用户问题历史、偏好设置，提供个性化服务。
+- **任务自动化**：从历史任务中学习成功/失败模式，持续优化执行策略。
+- **知识问答**：构建可检索的知识库，支持语义搜索和精确匹配。
+- **多轮对话**：自动压缩长对话，在有限上下文窗口内保留关键信息。
+
+
+
+
---
## 📄 引用
@@ -548,6 +581,13 @@ Pass@K 衡量在生成 K 个候选中，至少一个成功完成任务（score=1
---
+## 🤔 为什么叫 ReMe？
+
+ReMe 是 **Remember Me** 和 **Refine Me** 的缩写，寓意让 AI 智能体「记住我」并在交互中「精进自我」。我们希望 ReMe
+不只是一个冷冰冰的记忆模块，而是能让智能体真正理解用户、积累经验、持续进化的伙伴。
+
+---
+
## 📈 Star 历史
[](https://www.star-history.com/#agentscope-ai/ReMe&Date)