Running OpenClaw Across Multiple Channels

Multi-Channel Setup

One of OpenClaw's killer features is running a single AI assistant across all your messaging platforms simultaneously. One gateway, one memory, one personality — everywhere you chat.

How It Works

The OpenClaw gateway manages multiple channel adapters in a single process. Each adapter connects to its respective platform independently, but they all share:

• The same AI model configuration
• The same memory (MEMORY.md, USER.md)
• The same skills
• The same conversation context (optionally)

Configuration

Enable multiple channels in your openclaw.json:

{
  "channels": {
    "telegram": {
      "enabled": true,
      "token": "YOUR_TELEGRAM_TOKEN"
    },
    "whatsapp": {
      "enabled": true
    },
    "discord": {
      "enabled": true,
      "token": "YOUR_DISCORD_TOKEN"
    },
    "slack": {
      "enabled": true,
      "bot_token": "YOUR_SLACK_TOKEN"
    }
  }
}

Shared Memory Across Channels

When you tell OpenClaw something on Telegram, it remembers on WhatsApp too. The memory is unified:

• "Remember I'm vegetarian" on Telegram → Applied everywhere
• Project notes from Discord → Available on WhatsApp
• Preferences set on Slack → Consistent on all channels

Channel-Specific Behavior

You can configure per-channel settings:

• Response style — Formal on Teams, casual on Discord
• Active skills — Work skills on Slack, personal skills on WhatsApp
• Auto-reply rules — Always on for DMs, mention-only for groups

Resource Usage

Running multiple channels is lightweight:

• Each additional channel adds ~10-20 MB RAM
• CPU usage scales with message volume, not channel count
• The AI model API call is the main cost — same regardless of channel

Monitoring

Check the status of all channels:

openclaw status

This shows which channels are connected, uptime, and message counts.

Claw for All Multi-Channel

Claw for All supports multi-channel out of the box. Connect WhatsApp, Telegram, and Discord from your dashboard — no configuration files needed.