diff --git a/README.md b/README.md
index 014a3c8f1b7140d489071a517c26877806417401..cd9aebc6524ef52972453b49b74c449c52ca1268 100644
--- a/README.md
+++ b/README.md
@@ -75,6 +75,8 @@ The master branch works with **PyTorch 1.6+**.
 - Refactored YOLOX for MMDet to provide faster training and inference
 - Detailed introductory and advanced tutorials are provided, see the [English tutorial](https://mmyolo.readthedocs.io/en/latest)
 
+For release history and update details, please refer to [changelog](https://mmyolo.readthedocs.io/en/latest/notes/changelog.html).
+
 ## Installation
 
 MMYOLO relies on PyTorch, MMCV, MMEngine, and MMDetection. Below are quick steps for installation. Please refer to the [Install Guide](docs/en/get_started.md) for more detailed instructions.
diff --git a/docs/en/notes/changelog.md b/docs/en/notes/changelog.md
index 825c32f0d03d98995ebe3e6d797f14daf2df51d9..6c9a0037a0791e28a6314a506a486db0d53119c8 100644
--- a/docs/en/notes/changelog.md
+++ b/docs/en/notes/changelog.md
@@ -1 +1,11 @@
 # Changelog
+
+## v0.1.0（20/9/2022)
+
+We have released MMYOLO open source library, which is based on MMEngine, MMCV 2.x and MMDetection 3.x libraries. At present, the object detection has been realized, and it will be expanded to multi-task in the future.
+
+### Highlights
+
+1. Support for YOLOv5/YOLOX training and deployment, support for YOLOv6 inference and deployment
+2. Refactored YOLOX for MMDet to provide faster training and inference
+3. Detailed introductory and advanced tutorials are provided, see the [English tutorial](https://mmyolo.readthedocs.io/en/latest)
diff --git a/docs/zh_cn/notes/changelog.md b/docs/zh_cn/notes/changelog.md
index 1b6c0b7864e58aabf045dee34f8828bd88894c35..5ea41bb52ae5318c23203251cdf4ec1aaa362eab 100644
--- a/docs/zh_cn/notes/changelog.md
+++ b/docs/zh_cn/notes/changelog.md
@@ -1 +1,11 @@
 # 更新日志
+
+## v0.1.0（20/9/2022)
+
+我们发布了 MMYOLO 开源库，其基于 MMEngine, MMCV 2.x 和 MMDetection 3.x 库. 目前实现了目标检测功能，后续会扩展为多任务。
+
+### 亮点
+
+1. 支持 YOLOv5/YOLOX 训练和部署，支持 YOLOv6 推理和部署
+2. 重构了 MMDet 的 YOLOX，提供了更快的训练和推理速度
+3. 提供了详细入门和进阶教程, 包括 YOLOv5 从入门到部署、YOLOv5 算法原理和实现全解析、 特征图可视化等教程