OpenClaw Docker Image for Chinese IM: Ready‑to‑Use WeChat & DingTalk with Free Tokens

Running OpenClaw (ClawdBot) normally requires installing many plugins, which raises the entry barrier in China and incurs token costs that are hard to sustain. The author discovered a Docker‑based project that bundles common tools and platforms, enabling a ready‑to‑use experience after minimal configuration.

Pre‑installed components

Domestic mainstream IM platforms:

Feishu robot

DingTalk robot

QQ robot

Enterprise WeChat robot

Practical utilities:

Chinese TTS speech synthesis

Playwright browser automation

OpenCode AI code assistant

All these components are included in the image, so users avoid installing plugins one by one and dealing with dependency conflicts.

Three‑step startup

# Download configuration files
wget https://raw.githubusercontent.com/justlovemaki/OpenClaw-Docker-CN-IM/main/docker-compose.yml
wget https://raw.githubusercontent.com/justlovemaki/OpenClaw-Docker-CN-IM/main/.env.example

# Configure AI model (at least three variables)
cp .env.example .env
# Edit: MODEL_ID, BASE_URL, API_KEY

# Start the service
docker-compose up -d

The author followed the instructions, and the system started quickly with all required components already installed. The process was simple and direct, making it easy for anyone interested to try.

The project also introduces a free‑token solution called AIClient-2-API , which converts various AI clients into an API, effectively providing “unlimited” tokens.

Project repositories:

https://github.com/justlovemaki/OpenClaw-Docker-CN-IM

https://github.com/justlovemaki/AIClient-2-API