Troubleshooting OpenClaw: Fix Common Errors Fast
Stuck? This guide covers the most common OpenClaw errors and their solutions. Fix deployment issues, configuration problems, and runtime errors.
Every developer hits snags. The difference between a frustrating hour and a quick fix is knowing where to look. Here's how to solve the most common OpenClaw issues.
❌ Error: "Docker daemon not running"
This appears when Docker Desktop isn't started or the daemon can't be reached.
✅ Solution
- Open Docker Desktop application
- Wait for whale icon to appear in menu bar
- Verify status shows "Docker Desktop is running"
- Try your command again
❌ Error: "Permission denied" on files
File permissions prevent reading or writing to the workspace.
✅ Solution
# Fix ownership of your OpenClaw directory sudo chown -R $(whoami) ~/openclaw # Or fix specific file chmod 644 config.json
❌ Error: "Container failed to start"
Docker container exits immediately or fails to launch.
✅ Solution
- Check logs:
docker-compose logs - Verify config.json syntax is valid JSON
- Ensure required ports aren't in use:
lsof -i :3000 - Try rebuilding:
docker-compose down && docker-compose up -d
❌ Error: "Module not found"
Python can't find a required package or module.
✅ Solution
# Rebuild containers after requirements change docker-compose down docker-compose build --no-cache docker-compose up -d # Or install in running container docker-compose exec openclaw pip install package-name
❌ Bot not responding in Telegram
Messages aren't being received or processed.
✅ Solution
- Verify bot token in config.json is correct
- Check that webhook URL is accessible from internet
- Try polling mode instead of webhook for testing
- Restart the service:
docker-compose restart
General Debugging Steps
When you encounter an unfamiliar error:
- Read the error message carefully — Often tells you exactly what's wrong
- Check the logs —
docker-compose logs -fshows real-time output - Verify your config — JSON syntax errors are common
- Restart services — Classic "turn it off and on again"
- Check resources — Disk space, memory, CPU usage
🆘 Still Stuck?
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