diff --git a/docs/.vitepress/config.mts b/docs/.vitepress/config.mts
index 698b44ff5..d8c0b6d0b 100644
--- a/docs/.vitepress/config.mts
+++ b/docs/.vitepress/config.mts
@@ -92,20 +92,6 @@ export default defineConfig({
},
],
},
- {
- text: "个人微信",
- collapsed: true,
- items: [
- {
- text: "WeChatPad",
- link: "/zh/deploy/platforms/wechat/wechatpad",
- },
- {
- text: "Gewechat",
- link: "/zh/deploy/platforms/wechat/gewechat",
- },
- ],
- },
{
text: "企业微信",
collapsed: true,
@@ -320,16 +306,6 @@ export default defineConfig({
},
],
},
- {
- text: "Personal WeChat",
- collapsed: true,
- items: [
- {
- text: "Gewechat",
- link: "/en/deploy/platforms/wechat/gewechat",
- },
- ],
- },
{
text: "WeCom (Enterprise WeChat)",
collapsed: true,
diff --git a/docs/en/deploy/platforms/readme.md b/docs/en/deploy/platforms/readme.md
index d97bc457b..5249fc3da 100644
--- a/docs/en/deploy/platforms/readme.md
+++ b/docs/en/deploy/platforms/readme.md
@@ -15,6 +15,5 @@ Bots are used to receive message events from messaging platforms and call pipeli
| WeCom (Enterprise WeChat) | ✅ | Enterprise internal bot | [Tutorial](/en/deploy/platforms/wecom/wecom) |
| WeCom Customer Service | ✅ | Enterprise external bot | [Tutorial](/en/deploy/platforms/wecom/wecomcs) |
| WeChat Official Account | ✅ | WeChat public platform bot | [Tutorial](/en/deploy/platforms/wxoa) |
-| Personal WeChat | ✅ | Personal WeChat bot | [Gewechat](/en/deploy/platforms/wechat/gewechat) |
| OneBot v11 | ✅ | Uses a personal QQ account as a bot, requires an independent protocol client, supports OneBot v11 | [NapCat](/en/deploy/platforms/qq/aiocqhttp/napcat)
[Lagrange](/en/deploy/platforms/qq/aiocqhttp/lagrange)
[LiteLoaderQQNT](/en/deploy/platforms/qq/aiocqhttp/llonebot) |
| QQ Official Bot | ✅ | Connects to the QQ Open Platform bot API | [Tutorial](/en/deploy/platforms/qq/official_webhook) |
diff --git a/docs/en/deploy/platforms/wechat/gewechat.md b/docs/en/deploy/platforms/wechat/gewechat.md
deleted file mode 100644
index f5e6c3c75..000000000
--- a/docs/en/deploy/platforms/wechat/gewechat.md
+++ /dev/null
@@ -1,97 +0,0 @@
-# Connect to Personal WeChat via Gewechat
-
-:::warning
-The Gewechat project has stopped maintenance, please do not use it.
-:::
-
-**This tutorial requires LangBot to be deployed as a Docker container**, please deploy LangBot to Docker according to the LangBot deployment documentation.
-
-:::info
-- It is recommended to deploy on Ubuntu Linux system.
-- Recommended to use [Alibaba Cloud, server prices as low as 38 yuan per year, with an additional 20% discount](https://www.aliyun.com/minisite/goods?userCode=ys4ad8gs), choose Ubuntu 22.04 or 24.04 as the system.
-:::
-
-## Create Docker Network
-
-We need to deploy Gewechat and LangBot to the same Docker network to facilitate their communication.
-
-```bash
-docker network create langbot-network
-```
-
-Add network configuration to the `docker-compose.yaml` file in the LangBot directory (add to the `services.langbot` field, and add the `langbot-network` network configuration under the `networks` field):
-
-```yaml
-services:
- langbot:
- ...
- networks:
- - langbot-network
- ...
-
-networks:
- langbot-network:
- external: true
-```
-
-In the next step when deploying Gewechat, please add an additional network configuration `--network langbot-network` after `-itd` in the startup command (docker run command).
-
-```bash
-# For example, the original command is
-docker run -itd -v /root/temp:/root/temp -p 2531:2531 -p 2532:2532 --privileged=true --name=gewe gewe /usr/sbin/init
-
-# After adding network configuration, the command becomes
-docker run -itd --network langbot-network -v /root/temp:/root/temp -p 2531:2531 -p 2532:2532 --privileged=true --name=gewe gewe /usr/sbin/init
-```
-
-## Deploy Gewechat
-
-Please check the [Gewechat documentation](https://github.com/Devo919/Gewechat) and execute up to the `Start Service` step.
-
-## Fill in Information in LangBot and Start
-
-```json
- {
- "adapter": "gewechat",
- "enable": true,
- "gewechat_url": "http://gewe:2531",
- "gewechat_file_url": "http://gewe:2532",
- "port": 2286,
- "callback_url": "http://langbot:2286/gewechat/callback",
- "app_id": "",
- "token": ""
- }
-```
-
-- `enable` Whether to enable the personal WeChat adapter, please modify to `true`
-- `gewechat_url` The Gewechat container address deployed in the previous step, the default port is 2531, no need to fill in the path
-- `gewechat_file_url` Gewechat file download address, the default port is 2532, the host is the same as `gewechat_url`, no need to fill in the path
-- `port` The port for LangBot to listen for Gewechat messages, default is 2286, do not modify unless necessary
-- `callback_url` The callback address, which is the address for the Gewechat container to push messages to the LangBot container, needs to be filled with the complete path, for example `http://langbot:2286/gewechat/callback`, the port is consistent with `port`, the path must be `/gewechat/callback`
-- `app_id` and `token` **Do not fill in**, these are used to store login information and will be automatically saved after scanning the QR code to log in for the first time
-
-:::info
-Here we set the hostname of `gewechat_url` to `gewe`, which is the name of the Gewechat container deployed in the previous step.
-Set the hostname of `callback_url` to `langbot`, which is the name of the LangBot container deployed in the previous step.
-
-- If you deploy according to the requirements of this tutorial, you can use the above defaults.
-- If you used other container names, or other situations, please change accordingly.
-:::
-
-## Start LangBot
-
-Start LangBot according to the startup command in the LangBot deployment documentation.
-
-After LangBot starts, a QR code will be displayed, please scan this QR code with your personal WeChat to log in.
-
-
-
-After successful login, login information will be displayed, and it will start listening for personal WeChat messages.
-
-
-
-:::info
-After logging in, `app_id` and `token` will be saved to the configuration file, and you won't need to scan the QR code to log in again the next time you start.
-:::
-
-Now you can chat with LangBot in private messages or group chats.
diff --git a/docs/en/insight/features.md b/docs/en/insight/features.md
index 3cd7f9cea..009166ec0 100644
--- a/docs/en/insight/features.md
+++ b/docs/en/insight/features.md
@@ -10,7 +10,6 @@ LangBot is an open-source LLM native instant messaging robot development platfor
| QQ Official API | ✅ | |
| WeCom | ✅ | |
| WeComCS | ✅ | |
-| Personal WeChat | ✅ | |
| Lark | ✅ | |
| DingTalk | ✅ | |
| Discord | ✅ | |
diff --git a/docs/en/plugin/dev/messages.md b/docs/en/plugin/dev/messages.md
index 5a273bbae..c89f9edf9 100644
--- a/docs/en/plugin/dev/messages.md
+++ b/docs/en/plugin/dev/messages.md
@@ -103,7 +103,6 @@ The `adapter` here is the instantiated object of each adapter, corresponding to
| --- | --- | --- | --- |
| OneBot v11| aiocqhttp | adapter.bot | The bot object corresponds to the CQHttp object of [aiocqhttp](https://github.com/nonebot/aiocqhttp), please refer to the aiocqhttp documentation for detailed usage |
| QQ Official API | qqofficial | adapter.bot | The bot object is the SDK object under libs/qq_official_api, for detailed usage, you can refer to the way of initiating HTTP requests in the `send_group_text_msg` method in `QQOfficialClient` in libs/qq_official_api/api.py, please check the QQ official API documentation for specific interface documentation|
-| Personal WeChat | gewechat | adapter.bot | The bot object is the GewechatClient object of [hanfangyuan4396/gewechat-client](https://github.com/hanfangyuan4396/gewechat-python), please refer to the documentation for detailed usage |
| WeCom | wecom | adapter.bot | Refer to the way of initiating HTTP requests in the `send_image` method in `WecomClient` in libs/wecom_api/api.py, please check the WeCom API documentation for specific interface documentation |
| WeChat Official Account | officialaccount | - | Please refer to the interface documentation information in the WeChat Official Account API documentation, the relevant credential information can be obtained from adapter.bot |
| Feishu | lark | adapter.api_client | Feishu SDK's API Client object, please refer to [oapi-sdk-python](https://github.com/larksuite/oapi-sdk-python) |
diff --git a/docs/zh/deploy/platforms/wechat/gewechat.md b/docs/zh/deploy/platforms/wechat/gewechat.md
deleted file mode 100644
index ae640ce9a..000000000
--- a/docs/zh/deploy/platforms/wechat/gewechat.md
+++ /dev/null
@@ -1,97 +0,0 @@
-# 通过 Gewechat 接入个人微信
-
-:::warning
-Gewechat 项目已停止维护，请勿使用。
-:::
-
-**本教程要求 LangBot 以 Docker 容器部署**，请根据 LangBot 部署文档将 LangBot 部署到 Docker 中。
-
-:::info
-- 推荐使用 Ubuntu Linux 系统部署。
-- 推荐使用[阿里云，服务器价格低至 38 元一年，更可以享受8折优惠](https://www.aliyun.com/minisite/goods?userCode=ys4ad8gs)，系统选择 Ubuntu 22.04 或 24.04。
-:::
-
-## 创建 Docker 网络
-
-我们需要将 Gewechat 和 LangBot 部署到同一个 Docker 网络中，方便它们互相通信。
-
-```bash
-docker network create langbot-network
-```
-
-在 LangBot 目录的 `docker-compose.yaml` 文件中添加网络配置(添加到 `services.langbot` 字段下，并在 `networks` 字段下添加 `langbot-network` 网络配置)：
-
-```yaml
-services:
- langbot:
- ...
- networks:
- - langbot-network
- ...
-
-networks:
- langbot-network:
- external: true
-```
-
-在下一步部署 Gewechat 时，请在启动命令（docker run 命令）中的`-itd`后添加额外的网络配置`--network langbot-network`。
-
-```bash
-# 例如原命令为
-docker run -itd -v /root/temp:/root/temp -p 2531:2531 -p 2532:2532 --privileged=true --name=gewe gewe /usr/sbin/init
-
-# 添加网络配置后，命令变为
-docker run -itd --network langbot-network -v /root/temp:/root/temp -p 2531:2531 -p 2532:2532 --privileged=true --name=gewe gewe /usr/sbin/init
-```
-
-## 部署 Gewechat
-
-请查看 [Gewechat 文档](https://github.com/Devo919/Gewechat) 执行到 `启动服务` 步骤。
-
-## 在 LangBot 中填写信息并启动
-
-```json
- {
- "adapter": "gewechat",
- "enable": true,
- "gewechat_url": "http://gewe:2531",
- "gewechat_file_url": "http://gewe:2532",
- "port": 2286,
- "callback_url": "http://langbot:2286/gewechat/callback",
- "app_id": "",
- "token": ""
- }
-```
-
-- `enable` 是否启用个人微信适配器，请修改为 `true`
-- `gewechat_url` 上一步部署的 Gewechat 容器地址，端口默认为 2531，不需要填写路径
-- `gewechat_file_url` gewechat文件下载地址，端口默认为 2532，主机和 `gewechat_url` 相同，不需要填写路径
-- `port` LangBot 监听 Gewechat 消息的端口，默认 2286，非必要勿修改
-- `callback_url` 回调地址，是 Gewechat 容器推送消息给 LangBot 容器的地址，需要填写完整路径，例如 `http://langbot:2286/gewechat/callback`，端口与 `port` 一致，路径必须为 `/gewechat/callback`
-- `app_id` 和 `token` **请勿填写**，这是用于存储登录信息的，在首次启动扫码登录后会自动保存
-
-:::info
-在这里我们将`gewechat_url`的主机名设置为`gewe`，即为上一步部署的 Gewechat 容器名称。
-将`callback_url`的主机名设置为`langbot`，即为上一步部署的 LangBot 容器名称。
-
-- 如果你按照本教程要求部署，使用上述默认的即可。
-- 如果你使用了其他的容器名称，或者其他情况，请自行更改。
-:::
-
-## 启动 LangBot
-
-按照部署 LangBot 文档中的启动命令启动 LangBot。
-
-LangBot 启动后，会显示一个二维码，请使用个人微信扫描该二维码进行登录。
-
-
-
-成功登录后，会显示登录信息，并开始监听个人微信消息。
-
-
-
-:::info
-登录后会将`app_id`和`token`保存到配置文件中，下次启动时不需要再次扫码登录。
-:::
-
-现在即可私聊或在群聊中与 LangBot 对话。
\ No newline at end of file
diff --git a/docs/zh/deploy/platforms/wechat/wechatpad.md b/docs/zh/deploy/platforms/wechat/wechatpad.md
deleted file mode 100644
index 4edff91f5..000000000
--- a/docs/zh/deploy/platforms/wechat/wechatpad.md
+++ /dev/null
@@ -1,401 +0,0 @@
-# 通过 WeChatPadPro 接入个人微信
-
-> 异地警告，没有 Socks5 代理或者本地服务器慎用！！！！！！
-
-**本教程仅说明 Docker 部署教程，如果可以尽量将 WeChatPadPro 部署到同一网络**
-
-
-## 拉取 WeChatPad-Docker
-
-1. 原项目
-
-```bash
-git clone https://github.com/WeChatPadPro/WeChatPadPro.git
-cd WeChatPadPro/deploy
-```
-
-2. 简化
-
-```bash
-git clone https://github.com/fdc310/WeChatPad-Docker.git
-```
-
-
-### 一、如果不更改 Redis、MySQL、AdminKey 和相关端口及其网络的情况下可以直接运行
-
-```bash
-docker compose up -d
-```
-
-* 查看日志是否启动成功
-
-```bash
-# 简化
-docker logs wechatpad
-# or 原版
-docker logs wechatpadpro
-```
-
-启动成功实例如下输出：
-
-查看并记录自己的日志生成的 `adminKey`，后面登录会用到。
-
-```bash
-版本号: v20240818.00
-======== ADMIN_KEY === adminKey ========
-connect MySQL success
-auto create MySQL tables success
-connect Redis success
-GET Connection locfree Failed by ee4c9a06-cf5e-4451-9e81-5290d0217625 abandon the conntection get !
-updateApiVersion success
-
-启动GIN服务成功！ http://0.0.0.0:8849
-```
-
-* 然后在本机或者局域网下访问 `http://serveip:9090` 进入 Swagger 即可。（这是简化版 docker-compose 中映射端口号）
-* 然后在本机或者局域网下访问 `http://serveip:1239` 进入 Swagger 即可。（这是原版 docker-compose 中映射端口号）
-
-
-### 二、如果要更改（简化版）docker-compose 网络与 langbot 在同一个 Docker 网络中，以及数据库密码和端口更改
-
-参考修改 YAML 文件，以下是 WeChatPad 的 YAML 文件，容器连接方式可以参考 [文档](/zh/workshop/network-details.html)。
-
-* 如需修改数据库账号密码等，有能力的自行修改，此版本修改需要同时修改项目目录下 ``app/assets/setting.json`` 中的用户密码相关
-
-```yaml
-version: "3.3"
-services:
- mysql_wx:
- container_name: mysql_wxpad
- image: mysql:8.0
- ports:
- - "3306:3306"
- restart: always
- logging:
- driver: "json-file"
- options:
- max-size: "5g"
- environment:
- MYSQL_ROOT_PASSWORD: test_mysql
- MYSQL_ROOT_HOST: '%'
- MYSQL_DATABASE: wechatpadpro
- volumes:
- - "./mysql/data:/var/lib/mysql"
- - "./mysql/config:/etc/mysql/conf.d"
- networks:
- - langbot-network
- healthcheck:
- test: [ "CMD", "mysqladmin", "ping", "-h", "localhost" ]
- interval: 5s
- timeout: 3s
- retries: 5
-
- redis_wx:
- image: redis:alpine
- container_name: redis_wxpad
- restart: unless-stopped
- command: redis-server --requirepass test_redis
- environment:
- - REDIS_PASSWORD=test_redis
- volumes:
- - ./redis/data:/data
- ports:
- - "6381:6379"
- networks:
- - langbot-network
- healthcheck:
- test: ["CMD", "redis-cli", "-a", "test_redis", "ping"]
- interval: 5s
- timeout: 3s
- retries: 5
-
- wechatpad:
- container_name: wechatpad
- image: alpine:latest
- ports:
- - "9090:8849"
- restart: always
- depends_on:
- mysql_wx:
- condition: service_healthy
- redis_wx:
- condition: service_healthy
- links:
- - mysql_wx
- - redis_wx
- volumes:
- - ./app:/app # 映射数据目录，宿主机:容器
- working_dir: /app
- command: [ "/bin/sh", "-c", "chmod +x ./stay && ./stay" ]
- logging:
- driver: "json-file"
- options:
- max-size: "5g"
- environment:
- - TZ=Asia/Shanghai
- - LANG=zh_CN.UTF-8
- - LC_ALL=zh_CN.UTF-8
- networks:
- - langbot-network
-networks:
- langbot-network:
- external: true
-```
-
-
-### 三、原版 docker-compose 需要修改与 langbot 同一 Docker 网络中，以及数据库用户密码，都那口映射修改可参考以下：
-
-* 如需修改数据库账号密码等，有能力的自行修改，此版本修改需要同时修改项目目录下 ``deploy/.env`` 中的用户密码相关
-
-```yaml
-version: '3.8'
-
-services:
- wechatpadpro:
- image: registry.cn-hangzhou.aliyuncs.com/wechatpad/wechatpadpro:v0.11
- container_name: wechatpadpro
- restart: always
- ports:
- - "1239:1239"
- volumes:
- - wechatpadpro_data:/app/data
- - wechatpadpro_logs:/app/logs
- environment:
- - TZ=Asia/Shanghai
- - DEBUG=false
- - ADMIN_KEY=12345
- - HOST=0.0.0.0
- - PORT=1239
- - REDIS_HOST=redis
- - REDIS_PORT=6379
- - REDIS_DB=1
- - REDIS_PASS=123456
- - MYSQL_CONNECT_STR=wechatpadpro:123456@tcp(mysql:3306)/wechatpadpro?charset=utf8mb4&parseTime=true&loc=Local
- depends_on:
- mysql:
- condition: service_healthy
- redis:
- condition: service_healthy
- networks:
- - langbot-network
-
- redis:
- image: registry.cn-hangzhou.aliyuncs.com/wechatpad/wechatpadpro-redis:v0.1
- container_name: wechatpadpro_redis
- restart: always
- command: redis-server --requirepass 123456
- volumes:
- - redis_data:/data
- healthcheck:
- test: ["CMD", "redis-cli", "ping"]
- interval: 5s
- timeout: 3s
- retries: 3
- networks:
- - langbot-network
-
- mysql:
- image: registry.cn-hangzhou.aliyuncs.com/wechatpad/wechatpadpro-mysql:v0.11
- container_name: wechatpadpro_mysql
- restart: always
- environment:
- - MYSQL_ROOT_PASSWORD=123456
- - MYSQL_DATABASE=wechatpadpro
- - MYSQL_USER=wechatpadpro
- - MYSQL_PASSWORD=123456
- - TZ=Asia/Shanghai
- volumes:
- - mysql_data:/var/lib/mysql
- healthcheck:
- test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "wechatpadpro", "-p123456"]
- interval: 5s
- timeout: 3s
- retries: 3
- networks:
- - langbot-network
-
-networks:
- langbot-network:
- driver: bridge
-
-volumes:
- wechatpadpro_data:
- wechatpadpro_logs:
- redis_data:
- mysql_data:
-```
-
-#### `.env` 环境变量说明
-
-| 变量名 | 说明 | 默认值 | 是否必填 |
-|--------------------|----------------|------------|----------|
-| DEBUG | 调试模式 | false | 否 |
-| ADMIN_KEY | 管理员密钥 | 12345 | 是 |
-| PORT | 服务端口 | 1239 | 否 |
-| REDIS_PASS | Redis 密码 | 123456 | 是 |
-| MYSQL_CONNECT_STR | MySQL 连接串 | 见配置文件 | 是 |
-
-
-## 如果要手动部署
-
-* 手动部署或者 Win 上使用 Docker 部署参考以下官方文档
-
-请查看 [WeChatPadPro 文档](https://github.com/luolin-ai/WeChatPadPro)
-
-
-## 登录微信
-
-1. 成功启动 WeChatPadPro 后根据你的 serverip:port 访问 WeChatPadPro 的 Swagger
-
-
-2. 填入 adminKey
-
-
-3. 获取 token
-** try it out `/admin/GanAuthKey1` 接口 body 中的 days 改为 365 即可
-
-
-等待返回拿到里面的 token 回填入上面的 token
-
-
-5. 登录微信
-** try it out `/login/GetLoginQrCodeNew` 接口即可（和服务器是同市或者同省）
-
-
-** 如果是云服务器，需要填入 Proxy
-
-
-** 返回的参数中有登录二维码链接，打开扫码登录即可
-
-
-** 手机登录后看是否有 iPad 在线，如果不在线就使用, 查看扫码状态
-
-
-> 没有在线的话是因为什么（这是我已经成功登录，扫码状态过期了）
-
-
-
-6. 记录你的 adminkey、token、wx 地址和访问地址（wxid 可以不管）
-
-
-## 在 langbot 的创建机器人中填写信息
-
-- `wechatpad_key` 填写 adminKey
-- `wechatpad_url` 填写 WeChatPadPro 的地址
-- `wechatpad_ws` 填写 WeChatPadPro 的 ws 地址
-- `wxid` 填写该登录账号的 wxid
-- `wechatpad_token` 填写 WeChatPadPro 的 token
-
-
-
-
-## 详细的 API 接口文档
-
-如果有想要为该适配器做贡献，或者制作微信相关插件请查看 [WeChatPadPro API 文档](https://doc.apipost.net/docs/460ada21e884000?locale=zh-cn)
-里面有相关接口及其参数说明
-
-
-## 常见问题
-
-### 1. 服务无法启动
-
-检查步骤：
-
-```bash
-# 查看服务日志
-docker-compose logs
-
-# 查看具体服务日志
-docker-compose logs wechatpadpro
-docker-compose logs mysql
-docker-compose logs redis
-```
-
-### 2. 数据持久化
-
-数据默认保存在以下 Docker volumes 中：
-- `wechatpadpro_data`：应用数据
-- `wechatpadpro_logs`：应用日志
-- `redis_data`：Redis 数据
-- `mysql_data`：MySQL 数据
-
-查看数据卷：
-
-```bash
-docker volume ls | grep wechatpadpro
-```
-
-### 3. 服务重启
-
-```bash
-# 重启所有服务
-docker-compose restart
-
-# 重启单个服务
-docker-compose restart wechatpadpro
-```
-
-
-## 维护指南
-
-### 日常维护
-
-1. 查看服务状态：
-
-```bash
-docker-compose ps
-```
-
-2. 查看服务日志：
-
-```bash
-docker-compose logs -f --tail=100
-```
-
-3. 备份数据：
-
-```bash
-# 备份 MySQL 数据
-docker exec wechatpadpro_mysql mysqldump -u root -p123456 wechatpadpro > backup.sql
-```
-
-### 官方版本升级
-
-1. 拉取最新镜像：
-
-```bash
-docker-compose pull
-```
-
-2. 重新部署服务：
-
-```bash
-docker-compose up -d
-```
-
-### 简化版升级
-
-* 需要重新拉取 GitHub
-
-```bash
-git clone
-cd WeCahtPad_Docker
-docker compose down
-docker compose up -d
-```
-
-
-## 安全建议
-
-1. 修改默认密码
- - 修改 `ADMIN_KEY`
- - 修改 MySQL 密码
- - 修改 Redis 密码
-
-2. 限制端口访问
- - 只对必要端口开放外部访问
- - 使用防火墙限制 IP 访问
-
-3. 定期备份
- - 备份 MySQL 数据
- - 备份应用数据
diff --git a/docs/zh/insight/features.md b/docs/zh/insight/features.md
index bad0bb18a..2f340c4e0 100644
--- a/docs/zh/insight/features.md
+++ b/docs/zh/insight/features.md
@@ -6,11 +6,10 @@ LangBot 是一个开源的大语言模型原生即时通信机器人开发平台
| 平台 | 状态 | 备注 |
| --- | --- | --- |
-| QQ 个人号 | ✅ | QQ 个人号私聊、群聊 |
+| QQ 个人号 | ✅ | 由支持 onebot11 协议的第三方应用端支持，支持 QQ 个人号私聊、群聊 |
| QQ 官方机器人 | ✅ | QQ 官方机器人，支持频道、私聊、群聊 |
| 企业微信 | ✅ | |
| 企微对外客服 | ✅ | |
-| 个人微信 | ✅ | |
| 微信公众号 | ✅ | |
| 飞书 | ✅ | |
| 钉钉 | ✅ | |
diff --git a/docs/zh/plugin/dev/messages.md b/docs/zh/plugin/dev/messages.md
index e3481c9d1..d7569a7b9 100644
--- a/docs/zh/plugin/dev/messages.md
+++ b/docs/zh/plugin/dev/messages.md
@@ -103,7 +103,6 @@ msg_chain = MessageChain([
| --- | --- | --- | --- |
| OneBot v11| aiocqhttp | adapter.bot | bot 对象对应 [aiocqhttp](https://github.com/nonebot/aiocqhttp) 的 CQHttp 对象，详细使用方式请参考 aiocqhttp 文档 |
| QQ 官方API | qqofficial | adapter.bot | bot 对象为 libs/qq_official_api 下的 SDK 对象，详细使用方式可以参考 libs/qq_official_api/api.py 中`QQOfficialClient`中的`send_group_text_msg`方法发起 HTTP 请求的方式，具体接口文档请查看 QQ 官方 API 文档|
-| 个人微信 | gewechat | adapter.bot | bot 对象为 [hanfangyuan4396/gewechat-client](https://github.com/hanfangyuan4396/gewechat-python) 的 GewechatClient 对象，详细使用方式可以参考文档 |
| 企业微信 | wecom | adapter.bot | 参考 libs/wecom_api/api.py 中`WecomClient`中的`send_image`方法发起 HTTP 请求的方式，具体接口文档请查看企业微信 API 文档 |
| 微信公众号 | officialaccount | - | 请参考微信公众号的 API 文档中的接口文档信息，相关的凭据信息可以在 adapter.bot 中取得 |
| 飞书 | lark | adapter.api_client | 飞书 SDK 的 API Client 对象，具体请参考[oapi-sdk-python](https://github.com/larksuite/oapi-sdk-python) |