diff --git a/README.md b/README.md
index c535027..24ba095 100644
--- a/README.md
+++ b/README.md
@@ -1,81 +1,87 @@
+
+> [!NOTE]
+> 本文档由 WeHub 基于上游 README 翻译整理,属于社区翻译,非官方中文文档。
+> [English](./README.en.md) · [原始项目](https://github.com/RasaHQ/rasa) · [上游 README](https://github.com/RasaHQ/rasa/blob/HEAD/README.md)
+> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
+
Rasa Open Source
-[](https://info.rasa.com/community?utm_source=github&utm_medium=website&utm_campaign=)
-[](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=)
-[](https://badge.fury.io/py/rasa)
-[](https://pypi.python.org/pypi/rasa)
-[](https://github.com/RasaHQ/rasa/actions)
-[](https://rasa.com/docs)
+[](https://info.rasa.com/community?utm_source=github&utm_medium=website&utm_campaign=)
+[](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=)
+[](https://badge.fury.io/py/rasa)
+[](https://pypi.python.org/pypi/rasa)
+[](https://github.com/RasaHQ/rasa/actions)
+[](https://rasa.com/docs)
-
🚧 Note: Maintenance Mode 🚧
+
🚧 注意:维护模式 🚧
- Rasa Open Source is currently in maintenance mode.
+ Rasa Open Source 目前处于维护模式。
- The future of building AI agents with Rasa is Hello Rasa and CALM.
+ 使用 Rasa 构建 AI agent 的未来方向是 Hello Rasa 与 CALM。
-## 🚀 The Future of Rasa: Hello Rasa
+## 🚀 Rasa 的未来:Hello Rasa
-**Building reliable AI agents just got easier.**
+**构建可靠的 AI agent 变得更容易了。**
-[**Hello Rasa**](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=) is our new interactive playground for prototyping AI agents. It combines LLM fluency with the reliability of business logic using our **CALM** (Conversational AI with Language Models) engine.
+[**Hello Rasa**](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=) 是我们全新的交互式 playground,用于原型化 AI agent。它将 LLM 的流畅表达能力与我们 **CALM**(Conversational AI with Language Models,基于语言模型的对话式 AI)引擎的可靠性相结合。
-### Why switch to Hello Rasa?
+### 为什么切换到 Hello Rasa?
-* **No setup required:** Open the playground, pick a template (Banking, Telecom, Support), and start building in your browser.
-* **No NLU training:** We have moved beyond intents. The LLM handles dialogue understanding while you define the business flows.
-* **Built-in copilot:** A specialized AI assistant helps you generate code, debug flows, and expand your agent instantly.
-* **Production ready:** Hello Rasa is not just a toy. Export your agent to the Rasa Platform when you are ready to scale.
+* **无需设置:** 打开 playground,选择一个模板(Banking、Telecom、Support),即可在浏览器中开始构建。
+* **无需 NLU 训练:** 我们已超越 intents。LLM 负责理解对话,而你定义业务流。
+* **内置 copilot:** 专用 AI 助手可帮助你生成代码、调试流程,并即时扩展 agent。
+* **可用于生产:** Hello Rasa 不只是玩具。准备扩展时,可将 agent 导出到 Rasa Platform。
-### Core concepts
+### 核心概念
-* **CALM:** Combines LLM flexibility with strict business logic. The LLM understands the user; the code enforces the rules.
-* **Flows:** Describe logical steps (e.g., collect money, transfer funds) rather than rigid dialogue trees.
-* **Inspector:** See real-time decision-making. No black boxes.
+* **CALM:** 将 LLM 的灵活性与其严格的业务逻辑相结合。LLM 理解用户;代码强制执行规则。
+* **Flows(流程):** 描述逻辑步骤(例如收款、转账),而非僵化的对话树。
+* **Inspector(检查器):** 查看实时决策过程。没有黑箱。
-👉 **[Start building for free at Hello Rasa](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=)**
+👉 **[在 Hello Rasa 免费开始构建](https://hello.rasa.ai/?utm_source=github&utm_medium=website&utm_campaign=)**
---
-## 🧠 Join the Agent Engineering Community
+## 🧠 加入 Agent Engineering 社区
-We are building a home for people shipping real-world AI agents.
+我们正在为交付真实世界 AI agent 的人们打造一个家园。
-Agent Engineering is evolving faster than any single framework. This is a vendor-neutral space to discuss architectures, memory, orchestration, and safety with builders across the industry.
+Agent Engineering 的演进速度超过任何单一框架。这是一个厂商中立的场所,可与行业内的构建者一起讨论架构、记忆、编排与安全。
-### What you get:
-* **Network:** Meet engineers building production agents
-* **Learn:** Discuss practical patterns, not just theory
-* **Access:** Direct influence on the Hello Rasa roadmap and early access to features
+### 你能获得什么:
+* **人脉:** 结识正在构建生产级 agent 的工程师
+* **学习:** 讨论实用模式,而不仅是理论
+* **权限:** 直接影响 Hello Rasa 路线图,并抢先体验新功能
-| Channel | Purpose |
+| 频道 | 用途 |
| :--- | :--- |
-| **#agent-design** | Architectures, reasoning, memory, testing |
-| **#showcase** | Show your builds, demos, and repos |
-| **#ask-anything** | Debugging and workflow questions |
+| **#agent-design** | 架构、推理、记忆、测试 |
+| **#showcase** | 展示你的构建成果、演示与仓库 |
+| **#ask-anything** | 调试与工作流问题 |
-👉 **[Join the Community](https://info.rasa.com/community?utm_source=github&utm_medium=website&utm_campaign=)**
+👉 **[加入社区](https://info.rasa.com/community?utm_source=github&utm_medium=website&utm_campaign=)**
---
-# Rasa Open Source (Legacy)
+# Rasa Open Source(旧版)
-> **Note:** The documentation and installation instructions below apply to the classic Rasa Open Source framework. For the latest CALM-based experience, see the [Hello Rasa](#-the-future-of-rasa-hello-rasa) section above.
+> **注意:** 以下文档与安装说明适用于经典 Rasa Open Source 框架。如需最新的基于 CALM 的体验,请参阅上方的 [Hello Rasa](#-the-future-of-rasa-hello-rasa) 章节。
-Rasa is an open source machine learning framework for automating text and voice-based conversations. With Rasa, you can build contextual assistants on:
+Rasa 是一个用于自动化文本与语音对话的开源机器学习框架。借助 Rasa,你可以在以下渠道上构建上下文助手:
- Facebook Messenger
- Slack
@@ -86,32 +92,32 @@ Rasa is an open source machine learning framework for automating text and voice-
- Mattermost
- Telegram
- Twilio
-- Your own custom conversational channels
+- 你自己的自定义对话渠道
-Rasa helps you build contextual assistants that can handle layered conversations with lots of back-and-forth.
+Rasa 帮助你构建能够处理大量来回交互、具备多层上下文的助手。
-### 📚 Resources
-- 🤓 [Read the docs](https://rasa.com/docs/rasa/)
-- 😁 [Install Rasa](https://rasa.com/docs/rasa/installation/environment-set-up)
-- 🚀 [Learn all about Conversational AI](https://learning.rasa.com/)
-- 🏢 [Explore the enterprise platform](https://rasa.com/product/rasa-platform/)
+### 📚 资源
+- 🤓 [阅读文档](https://rasa.com/docs/rasa/)
+- 😁 [安装 Rasa](https://rasa.com/docs/rasa/installation/environment-set-up)
+- 🚀 [全面了解 Conversational AI](https://learning.rasa.com/)
+- 🏢 [探索企业平台](https://rasa.com/product/rasa-platform/)
-## Development Internals & Contributing
+## 开发内部机制与贡献
-We are happy to receive contributions. Please review our [Contribution Guidelines](CONTRIBUTING.md) before getting started.
+我们欢迎贡献。开始前请先阅读我们的 [贡献指南](CONTRIBUTING.md)。
-### Installation for Development
-Rasa uses **Poetry** for packaging and dependency management.
+### 开发环境安装
+Rasa 使用 **Poetry** 进行打包与依赖管理。
-1. **Install Poetry**: Follow the [official guide](https://python-poetry.org/docs/#installation).
-2. **Build from source**:
+1. **安装 Poetry**:请遵循[官方指南](https://python-poetry.org/docs/#installation).
+2. **从源码构建**:
```bash
make install
```
- *Note for macOS users*: If you run into compiler issues, try `export SYSTEM_VERSION_COMPAT=1` before installation.
+ *macOS 用户注意*:若遇到编译器问题,请在安装前尝试 `export SYSTEM_VERSION_COMPAT=1`。
-### Running Tests
-Make sure you have development requirements installed:
+### 运行测试
+请确保已安装开发依赖:
```bash
make prepare-tests-ubuntu # Ubuntu/Debian
@@ -119,16 +125,16 @@ make prepare-tests-macos # macOS
make test # Run tests
```
-### Releases
+### 发布版本
-Rasa follows Semantic Versioning.
+Rasa 遵循语义化版本(Semantic Versioning)。
- * **Major**: Incompatible API changes
- * **Minor**: Backward-compatible functionality
- * **Patch**: Backward-compatible bug fixes
+ * **Major(主版本)**:不兼容的 API 变更
+ * **Minor(次版本)**:向后兼容的功能新增
+ * **Patch(补丁版本)**:向后兼容的缺陷修复
-For full details on our release cadence and maintenance policy, visit our [Product Release and Maintenance Policy](https://rasa.com/rasa-product-release-and-maintenance-policy/).
+有关发布节奏与维护政策的完整详情,请访问我们的 [产品发布与维护政策](https://rasa.com/rasa-product-release-and-maintenance-policy/).
-## License
+## 许可证
-Licensed under the Apache License, Version 2.0. Copyright 2022 Rasa Technologies GmbH. [Copy of the license](https://www.google.com/search?q=LICENSE.txt).
+根据 Apache License, Version 2.0 授权。Copyright 2022 Rasa Technologies GmbH。[许可证副本](https://www.google.com/search?q=LICENSE.txt).