openclaw-china-docker

Original：🇺🇸 English

Translated

Deploy and configure OpenClaw AI bot gateway with Chinese IM platforms (Feishu, DingTalk, QQ, WeChat Work) using Docker

6installs

Sourcearadotso/hermes-skills

Added on2026-05-24

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SKILL.md Content

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OpenClaw China Docker Skill

Skill by ara.so — Hermes Skills collection.

This skill helps you deploy and configure OpenClaw-China-Docker, a pre-configured Docker image that integrates OpenClaw AI bot gateway with mainstream Chinese IM platforms including Feishu (Lark), DingTalk, QQ Bot, and WeChat Work (WeCom).

What is OpenClaw-China-Docker?

OpenClaw-China-Docker is a production-ready Docker image that packages OpenClaw with pre-installed plugins for Chinese IM platforms. It provides:

Multi-platform support: Feishu (official/legacy), DingTalk, QQ Bot, WeChat Work
Extended capabilities: Agent Reach integration (Twitter, Xiaohongshu, Weibo, Douyin)
Configuration-driven: Environment variable based setup with
```
.env
```
files
Enhanced tooling: FFmpeg, Playwright, Chinese TTS, OpenCode AI
Security: Docker-in-Docker sandbox mode for code execution
Production features: Data persistence, isolated utility containers

Installation

Prerequisites

Docker and Docker Compose installed
API keys for AI models (OpenAI, Claude, etc.)
Bot credentials for desired IM platforms

Quick Start

bash

# Clone the repository
git clone https://github.com/justlovemaki/openclaw-china-docker.git
cd openclaw-china-docker

# Copy environment template
cp .env.example .env
# OR use minimal version for quick setup
cp .env.minimal .env

# Edit environment variables
nano .env

# Start services
docker compose up -d

# View logs
docker compose logs -f openclaw

# Stop services
docker compose down

Pull Docker Image Directly

bash

docker pull justlikemaki/openclaw-docker-cn-im:latest

Core Configuration

Environment Variables (.env)

The project uses environment variables for configuration. Key sections:

AI Model Configuration

bash

# OpenAI compatible API
OPENCLAW_AI_PROVIDER=openai
OPENCLAW_OPENAI_API_KEY=${OPENAI_API_KEY}
OPENCLAW_OPENAI_BASE_URL=https://api.openai.com/v1
OPENCLAW_OPENAI_MODEL=gpt-4o

# Claude API
OPENCLAW_AI_PROVIDER=anthropic
OPENCLAW_ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
OPENCLAW_ANTHROPIC_MODEL=claude-3-5-sonnet-20241022

# Use AIClient-2-API (recommended for unlimited tokens)
OPENCLAW_OPENAI_BASE_URL=http://your-aiclient-api:8000/v1

Feishu (Lark) Configuration

bash

# Official plugin (recommended)
OPENCLAW_FEISHU_ENABLED=true
OPENCLAW_FEISHU_APP_ID=cli_xxx
OPENCLAW_FEISHU_APP_SECRET=xxx
OPENCLAW_FEISHU_VERIFICATION_TOKEN=xxx
OPENCLAW_FEISHU_ENCRYPT_KEY=xxx

# Legacy built-in version
OPENCLAW_FEISHU_OLD_ENABLED=true
OPENCLAW_FEISHU_OLD_APP_ID=cli_xxx
# ... (similar structure)

DingTalk Configuration

bash

OPENCLAW_DINGTALK_ENABLED=true
OPENCLAW_DINGTALK_CLIENT_ID=dingxxx
OPENCLAW_DINGTALK_CLIENT_SECRET=xxx
OPENCLAW_DINGTALK_ROBOT_CODE=xxx

QQ Bot Configuration

bash

OPENCLAW_QQBOT_ENABLED=true
OPENCLAW_QQBOT_APPID=xxx
OPENCLAW_QQBOT_SECRET=xxx
OPENCLAW_QQBOT_INTENT=1  # Public messages

WeChat Work (WeCom) Configuration

bash

OPENCLAW_WECOM_ENABLED=true
OPENCLAW_WECOM_CORP_ID=wwxxx
OPENCLAW_WECOM_AGENT_ID=1000xxx
OPENCLAW_WECOM_SECRET=xxx
OPENCLAW_WECOM_TOKEN=xxx
OPENCLAW_WECOM_ENCODING_AES_KEY=xxx

Sandbox Configuration

bash

# Enable Docker-in-Docker sandbox for code execution
OPENCLAW_SANDBOX_MODE=all  # or 'non-main' or 'none'

Docker Compose Setup

Minimal

docker-compose.yml

yaml

version: '3.8'

services:
  openclaw:
    image: justlikemaki/openclaw-docker-cn-im:latest
    container_name: openclaw-cn-im
    restart: unless-stopped
    env_file:
      - .env
    ports:
      - "3000:3000"
    volumes:
      - ./workspace:/openclaw/workspace
      - ./data:/openclaw/data
      # Uncomment for Docker sandbox mode
      # - /var/run/docker.sock:/var/run/docker.sock
    environment:
      - TZ=Asia/Shanghai

Key Commands

Container Management

bash

# Start services
docker compose up -d

# View logs (all services)
docker compose logs -f

# View logs (specific service)
docker compose logs -f openclaw

# Restart service
docker compose restart openclaw

# Stop services
docker compose down

# Stop and remove volumes
docker compose down -v

Enter Container

bash

# Interactive shell
docker compose exec openclaw bash

# Execute single command
docker compose exec openclaw openclaw --version

Upgrade

bash

# Pull latest changes
git pull origin main

# Pull latest image
docker compose pull

# Recreate containers
docker compose up -d --force-recreate

# Clean old images
docker image prune -f

Plugin Installation (Feishu Example)

bash

# Use utility container for one-time operations
docker compose run --rm openclaw-utils bash

# Inside container:
cd /openclaw
npx openclaw plugin:install larksuite/openclaw-lark

Common Patterns

Pattern 1: Full Setup with Multiple Platforms

bash

# .env configuration
OPENCLAW_AI_PROVIDER=openai
OPENCLAW_OPENAI_API_KEY=${OPENAI_API_KEY}
OPENCLAW_OPENAI_MODEL=gpt-4o

# Enable multiple IM platforms
OPENCLAW_FEISHU_ENABLED=true
OPENCLAW_DINGTALK_ENABLED=true
OPENCLAW_QQBOT_ENABLED=true
OPENCLAW_WECOM_ENABLED=true

# Configure each platform's credentials...
OPENCLAW_FEISHU_APP_ID=cli_xxx
OPENCLAW_DINGTALK_CLIENT_ID=dingxxx
OPENCLAW_QQBOT_APPID=xxx
OPENCLAW_WECOM_CORP_ID=wwxxx

bash

# Deploy
docker compose up -d

# Monitor all platforms
docker compose logs -f | grep -E 'feishu|dingtalk|qqbot|wecom'

Pattern 2: Integration with AIClient-2-API

bash

# .env - Use AIClient for unlimited tokens
OPENCLAW_AI_PROVIDER=openai
OPENCLAW_OPENAI_BASE_URL=http://aiclient-api:8000/v1
OPENCLAW_OPENAI_API_KEY=dummy-key  # AIClient doesn't require real key
OPENCLAW_OPENAI_MODEL=gpt-4o

# docker-compose.yml - Add AIClient service
services:
  aiclient-api:
    image: justlikemaki/aiclient-2-api:latest
    ports:
      - "8000:8000"
    volumes:
      - aiclient-data:/app/data
  
  openclaw:
    depends_on:
      - aiclient-api
    # ... rest of openclaw config

Pattern 3: Enable Agent Reach for Web Search

Initialize Agent Reach in conversation:

禁止使用web_search，web_fetch 工具， 必须使用 agent-reach 的工具来替代你自带的web_search，web_fetch ，并写入tools和记忆文档中

This switches from built-in web tools to Agent Reach for searching Twitter, Xiaohongshu, Weibo, Douyin, etc.

Pattern 4: Sandbox Mode for Secure Code Execution

bash

# .env
OPENCLAW_SANDBOX_MODE=all  # Run all code in isolated containers

# docker-compose.yml - MUST mount Docker socket
services:
  openclaw:
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock

python

# In chat, OpenClaw can now safely execute:
"""
Create a Python script that analyzes data
"""
# Code runs in isolated container, not on host

Pattern 5: Custom Configuration with openclaw.json

bash

# Mount custom config instead of using env vars
# docker-compose.yml
services:
  openclaw:
    volumes:
      - ./openclaw.json:/openclaw/openclaw.json

json

{
  "ai": {
    "provider": "openai",
    "openai": {
      "apiKey": "${OPENAI_API_KEY}",
      "baseURL": "https://api.openai.com/v1",
      "model": "gpt-4o"
    }
  },
  "channels": {
    "feishu": {
      "enabled": true,
      "appId": "${FEISHU_APP_ID}",
      "appSecret": "${FEISHU_APP_SECRET}"
    }
  }
}

Pattern 6: Data Persistence

bash

# docker-compose.yml - Persist important data
services:
  openclaw:
    volumes:
      - ./workspace:/openclaw/workspace  # Work files
      - ./data:/openclaw/data            # Database & state
      - ./logs:/openclaw/logs            # Log files

bash

# Backup data
tar -czf openclaw-backup-$(date +%Y%m%d).tar.gz workspace/ data/

# Restore data
tar -xzf openclaw-backup-20260517.tar.gz

Troubleshooting

Issue: Container fails to start

bash

# Check logs
docker compose logs openclaw

# Common causes:
# 1. Missing required env vars
grep "OPENCLAW_.*_ENABLED=true" .env
# Ensure corresponding credentials are set

# 2. Port conflicts
netstat -tlnp | grep 3000
# Change port in docker-compose.yml if needed

Issue: Feishu plugin not working

bash

# Verify plugin installation
docker compose exec openclaw bash
npx openclaw plugin:list | grep lark

# Reinstall if needed
npx openclaw plugin:install larksuite/openclaw-lark

# Check webhook URL accessibility
curl -X POST http://your-server:3000/api/feishu/webhook

Issue: AI model not responding

bash

# Test API connectivity
docker compose exec openclaw bash
curl -H "Authorization: Bearer ${OPENCLAW_OPENAI_API_KEY}" \
     ${OPENCLAW_OPENAI_BASE_URL}/models

# Check model name
echo $OPENCLAW_OPENAI_MODEL
# Must match available models from API

Issue: Docker sandbox not working

bash

# Ensure Docker socket is mounted
docker compose exec openclaw ls -la /var/run/docker.sock
# Should show: srw-rw---- 1 root docker

# Verify sandbox mode
docker compose exec openclaw env | grep SANDBOX
# Should show: OPENCLAW_SANDBOX_MODE=all

# Check Docker accessibility
docker compose exec openclaw docker ps
# Should list containers, not error

Issue: Permission errors in volumes

bash

# Fix ownership
sudo chown -R 1000:1000 workspace/ data/ logs/

# Or run container with host user
# docker-compose.yml
services:
  openclaw:
    user: "${UID}:${GID}"

Issue: Memory or performance problems

bash

# Check resource usage
docker stats openclaw

# Limit resources in docker-compose.yml
services:
  openclaw:
    deploy:
      resources:
        limits:
          cpus: '2'
          memory: 4G
        reservations:
          memory: 2G

Issue: Plugin conflicts

bash

# List installed plugins
docker compose exec openclaw npx openclaw plugin:list

# Remove conflicting plugin
docker compose exec openclaw npx openclaw plugin:uninstall plugin-name

# Clear plugin cache
docker compose exec openclaw rm -rf /openclaw/.openclaw/plugins/.cache
docker compose restart openclaw

Advanced Configuration

Environment Variable Reference

Key variables (see

.env.example

for complete list):

OPENCLAW_AI_PROVIDER

openai

anthropic

google

, etc.

```
OPENCLAW_SANDBOX_MODE
```
:
```
all
```
,
```
non-main
```
,
```
none
```
```
OPENCLAW_LOG_LEVEL
```
:
```
debug
```
,
```
info
```
,
```
warn
```
,
```
error
```
```
OPENCLAW_SERVER_PORT
```
: Default
```
3000
```
```
OPENCLAW_SERVER_HOST
```
: Default
```
0.0.0.0
```

Multi-Stage Deployment

bash

# Development
cp .env.minimal .env.dev
docker compose -f docker-compose.yml -f docker-compose.dev.yml up

# Production
cp .env.example .env.prod
# Configure all platforms
docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d

Health Checks

yaml

# docker-compose.yml
services:
  openclaw:
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3000/api/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

Documentation References

Quick Start:
```
docs/quick-start.md
```
Configuration:
```
docs/configuration.md
```
AIClient Integration:
```
docs/aiclient-2-api.md
```
Advanced Usage:
```
docs/advanced.md
```
FAQ:
```
docs/faq.md
```
Developer Notes:
```
docs/developer-notes.md
```

Best Practices

Always use
.env
files instead of hardcoding credentials
Enable only needed platforms to reduce resource usage
Mount volumes for workspace and data persistence
Use AIClient-2-API for cost-effective unlimited token usage
Enable sandbox mode for secure code execution
Monitor logs regularly with
```
docker compose logs -f
```
Backup data before upgrades with
```
tar -czf
```
Keep repository synced with
```
git pull
```
before upgrading

openclaw-china-docker

NPX Install

Tags

SKILL.md Content

OpenClaw China Docker Skill

What is OpenClaw-China-Docker?

Installation

Prerequisites

Quick Start

Pull Docker Image Directly

Core Configuration

Environment Variables (.env)

AI Model Configuration

Feishu (Lark) Configuration

DingTalk Configuration

QQ Bot Configuration

WeChat Work (WeCom) Configuration

Sandbox Configuration

Docker Compose Setup

Key Commands

Container Management

Enter Container

Upgrade

Plugin Installation (Feishu Example)

Common Patterns

Pattern 1: Full Setup with Multiple Platforms

Pattern 2: Integration with AIClient-2-API

Pattern 3: Enable Agent Reach for Web Search

Pattern 4: Sandbox Mode for Secure Code Execution

Pattern 5: Custom Configuration with openclaw.json

Pattern 6: Data Persistence

Troubleshooting

Issue: Container fails to start

Issue: Feishu plugin not working

Issue: AI model not responding

Issue: Docker sandbox not working

Issue: Permission errors in volumes

Issue: Memory or performance problems

Issue: Plugin conflicts

Advanced Configuration

Environment Variable Reference

Multi-Stage Deployment

Health Checks

Documentation References

Best Practices