OpenClaw QQ Robot Multi-Group Management

Running an OpenClaw bot in one QQ group is easy. Running it across dozens of groups — each with different rules, different vibes, and different admin expectations — is where things get real.

If you've ever had a bot respond with tech support answers in a meme group, or drop casual jokes in an executive channel, you know the pain. Multi-group management isn't just about being present everywhere; it's about being contextually appropriate everywhere.

The Core Challenge

QQ groups are diverse by nature. A single bot instance might serve:

A developer community group that wants code reviews and CI status
A customer support group that needs FAQ lookups and ticket creation
A social/gaming group that expects entertainment and casual chat
An internal team group with access to sensitive project data

Each group needs different system prompts, skill sets, and permission levels. Treating them all the same is a recipe for disaster.

Architecture: Per-Group Configuration

On Tencent Cloud Lighthouse, you can run a single OpenClaw instance that handles multiple groups through a group-specific config map:

# /opt/clawdbot/config/qq-multigroup.yaml
channel: qq
qq:
  bot_id: "your_qq_bot_id"
  app_secret: "${QQ_APP_SECRET}"

groups:
  "group_dev_123456":
    name: "Dev Community"
    system_prompt: "You are a senior developer assistant. Help with code reviews, debugging, and CI/CD questions."
    skills:
      - code-review
      - github-integration
    max_tokens: 2000
    rate_limit: 30/min

  "group_support_789012":
    name: "Customer Support"
    system_prompt: "You are a friendly support agent. Answer product questions and create tickets when needed."
    skills:
      - faq-lookup
      - ticket-creation
    max_tokens: 1000
    rate_limit: 60/min

  "group_social_345678":
    name: "Fun Zone"
    system_prompt: "You are a casual, witty chat companion. Keep it fun and lighthearted."
    skills:
      - trivia
      - meme-generator
    max_tokens: 500
    rate_limit: 20/min

default:
  system_prompt: "You are a helpful assistant."
  skills: []
  max_tokens: 800
  rate_limit: 10/min

The default block catches any group not explicitly configured — a safety net that prevents unexpected behavior.

Deploying Your Multi-Group Setup

Get your Lighthouse instance ready first:

Visit the Tencent Cloud Lighthouse OpenClaw page to see the available instance configurations.
Select the "OpenClaw (Clawdbot)" application template under "AI Agents".
Deploy by clicking "Buy Now" to launch your always-on multi-group bot.

Once deployed, upload your config and restart:

scp qq-multigroup.yaml root@YOUR_LIGHTHOUSE_IP:/opt/clawdbot/config/
ssh root@YOUR_LIGHTHOUSE_IP "sudo systemctl restart clawdbot"

Group-Level Permission Control

Not every group should have access to every skill. Implement a permission matrix that maps group IDs to allowed operations:

# Quick check: which groups have which skills enabled
grep -A 3 "skills:" /opt/clawdbot/config/qq-multigroup.yaml

For sensitive skills (like database queries or admin commands), restrict them to specific groups and specific user roles within those groups:

groups:
  "group_dev_123456":
    skills:
      - code-review
      - github-integration
    admin_users:
      - "qq_user_admin_001"
      - "qq_user_admin_002"
    admin_only_skills:
      - github-integration  # Only admins can trigger GitHub actions

Monitoring Across Groups

When you're managing 10+ groups, you need visibility into which ones are active and which are burning through tokens:

#!/bin/bash
# /opt/clawdbot/group-stats.sh
echo "=== QQ Group Activity Report ==="
echo "Generated: $(date)"
echo ""

for group in group_dev_123456 group_support_789012 group_social_345678; do
  COUNT=$(grep -c "$group" /var/log/clawdbot/output.log)
  echo "$group: $COUNT messages today"
done

echo ""
echo "=== Token Usage ==="
grep "tokens_used" /var/log/clawdbot/output.log | \
  awk -F'group=' '{print $2}' | \
  awk -F',' '{print $1}' | \
  sort | uniq -c | sort -rn

Run this daily to spot groups that are disproportionately expensive — they might need tighter rate limits or a cheaper model.

Adding and Removing Groups

When a new group wants the bot, don't redeploy. Just update the config:

# Add a new group entry to the YAML
cat >> /opt/clawdbot/config/qq-multigroup.yaml <<'EOF'

  "group_new_456789":
    name: "New Project Team"
    system_prompt: "You are a project management assistant."
    skills:
      - task-tracking
    max_tokens: 1000
    rate_limit: 20/min
EOF

# Reload without full restart (if supported)
sudo systemctl reload clawdbot
# Or restart if reload isn't supported
sudo systemctl restart clawdbot

To remove a group, delete its config block and restart. The bot will fall back to the default profile for any messages from that group until it's fully disconnected.

Scaling Considerations

A single Lighthouse instance handles 20-30 moderately active groups without breaking a sweat. If you're pushing beyond that, or if one group generates massive traffic, consider:

Splitting high-traffic groups onto a dedicated instance
Using a lighter model for casual/social groups to reduce token costs
Implementing message queuing to smooth out traffic spikes

Get Started

Multi-group management turns your QQ bot from a single-purpose tool into a platform. The key is per-group configuration, permission control, and monitoring — all running on infrastructure that doesn't quit.

Visit https://www.tencentcloud.com/act/pro/intl-openclaw for the optimized OpenClaw deployment.
Select the "OpenClaw (Clawdbot)" template under "AI Agents".
Deploy and start managing all your QQ groups from one powerful instance.

One bot. Many groups. Total control.