Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
44 changes: 43 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -168,4 +168,46 @@ We now have a paper you can cite:

## ⚖️ License

Apache 2.0 — see the [LICENSE](https://github.com/mem0ai/mem0/blob/main/LICENSE) file for details.
Apache 2.0 — see the [LICENSE](https://github.com/mem0ai/mem0/blob/main/LICENSE) file for details.

## 🇨🇳 中文说明

Mem0 ("mem-zero") 为 AI 助手和 Agent 增强智能记忆层,实现个性化 AI 交互。它能记住用户偏好、适应个体需求并持续学习,非常适合客户支持聊天机器人、AI 助手和自主系统。

### 核心特性

- **多层次记忆**: 无缝保留用户、会话和 Agent 状态,实现自适应个性化
- **开发者友好**: 直观的 API、跨平台 SDK,完全托管服务选项
- **+26% 准确率**: 在 LOCOMO 基准测试中比 OpenAI Memory 准确率更高
- **91% 更快响应**: 比全上下文响应更快,确保低延迟扩展
- **90% 更少 Token**: 比全上下文使用更少 Token,降低成本

### 快速开始

```bash
# 安装 mem0
pip install mem0ai

# 使用
from mem0 import Memory

m = Memory()
m.add("用户喜欢蓝色,偏好深色模式", user_id="user_123")
results = m.get_all(user_id="user_123")
```

### 文档

了解更多,请访问 [官方文档](https://docs.mem0.ai/)。

## 📖 Citation

如果您在研究中使用了 Mem0,请引用:

```bibtex
@article{mem0,
title={Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory},
author={Chhikara, Prateek and Khant, Dev and Aryan, Saket and Singh, Taranjeet and Yadav, Deshraj},
journal={arXiv preprint arXiv:2504.19413},
year={2025}
}