OpenClaw FAQ: Top 20 Frequently Asked Questions

1. How do I install OpenClaw on a fresh Ubuntu server?

1. Update the package index and install required dependencies:

   sudo apt update && sudo apt install -y git curl python3-pip

2. Clone the OpenClaw repository:

   git clone https://github.com/OpenClaw/OpenClaw.git ~/openclaw

3. Navigate to the directory and install Python requirements:

   cd ~/openclaw && pip3 install -r requirements.txt

4. Create a .env file with your Discord bot token and desired prefix:

   echo "DISCORD_TOKEN=YOUR_TOKEN\nBOT_PREFIX=!" > .env

5. Start the bot in the background using nohup or a process manager like systemd:

   nohup python3 bot.py &

After these steps, OpenClaw will appear online in your Discord server. For a one‑click deployment on UBOS, see the OpenClaw hosting guide.

2. What are the minimum hardware requirements?

• CPU: 1 vCPU (2 GHz or higher)
• RAM: 512 MB (1 GB recommended for AI integrations)
• Disk: 2 GB free space for the bot, logs, and optional database
• Network: Outbound HTTPS access to Discord API and any AI provider endpoints

These specs allow a single instance to serve up to 5,000 concurrent users. For larger communities, scale vertically or use the Enterprise AI platform by UBOS to orchestrate multiple bots.

3. How can I enable the built‑in moderation module?

OpenClaw ships with a moderation.py extension. Activate it by editing config.yaml:

extensions:
  - moderation
moderation:
  auto_kick: true
  warn_threshold: 3
  log_channel_id: 123456789012345678

Restart the bot, and the moderation commands (/warn, /kick, /ban) become available.

4. How do I integrate OpenAI’s ChatGPT for AI‑powered replies?

First, obtain an API key from OpenAI. Then add the following to .env:

OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxx

Enable the integration in config.yaml:

integrations:
  openai_chatgpt:
    enabled: true
    model: gpt-4o
    temperature: 0.7

Now you can call the AI with /ai <prompt>. For a deeper walkthrough, see the OpenAI ChatGPT integration page.

5. Can I connect OpenClaw to Telegram?

Yes. Use the Telegram integration on UBOS to bridge Discord and Telegram channels. After creating a Telegram bot token, add these lines to .env:

TELEGRAM_BOT_TOKEN=123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11

Then enable the bridge in config.yaml and restart:

integrations:
  telegram:
    enabled: true
    chat_id: -1001234567890

6. How do I store persistent data without a full database?

OpenClaw supports Chroma DB integration for lightweight vector storage. Install the Python client:

pip install chromadb

Initialize it in your custom module:

import chromadb

client = chromadb.Client()
collection = client.create_collection(name="user_profiles")
# Example: store a user’s preferences
collection.add(
    ids=["user_123"],
    documents=["prefers: memes, games"],
    metadatas=[{"discord_id": "1234567890"}]
)

7. What is the best way to add voice responses?

Leverage the ElevenLabs AI voice integration. After signing up, add your API key:

ELEVENLABS_API_KEY=your_key_here

Then call the voice endpoint from a command:

@bot.command()
async def speak(ctx, *, text):
    audio = await elevenlabs.synthesize(text)
    await ctx.send(file=discord.File(audio, "reply.mp3"))

8. How can I automate repetitive tasks?

OpenClaw includes a Workflow automation studio. Create a JSON workflow file, for example welcome_workflow.json:

{
  "trigger": "member_join",
  "actions": [
    {"type": "send_message", "channel_id": "987654321098765432", "content": "Welcome {{user}}!"},
    {"type": "assign_role", "role_id": "123456789012345678"}
  ]
}

Place the file in workflows/ and reload the bot. The workflow runs automatically whenever a new member joins.

9. Is there a web‑based UI for managing bots?

Yes. The Web app editor on UBOS provides a drag‑and‑drop interface to edit commands, set permissions, and view logs without touching the file system.

10. How do I secure my bot token?

1. Never commit .env to version control. Add it to .gitignore.
2. Use a secret manager (e.g., dotenv with Vault or AWS Secrets Manager).
3. Set file permissions so only the bot user can read it:

   chmod 600 .env

4. Rotate the token regularly via the Discord developer portal.

11. Can I run multiple OpenClaw instances on the same server?

Absolutely. Use Docker Compose to isolate each instance. Example docker-compose.yml:

version: "3.8"
services:
  bot1:
    image: openclaw/bot:latest
    env_file: .env.bot1
    volumes:
      - ./bot1/data:/app/data
  bot2:
    image: openclaw/bot:latest
    env_file: .env.bot2
    volumes:
      - ./bot2/data:/app/data

Each instance reads its own .env and stores data in a separate volume.

12. How do I troubleshoot a bot that won’t connect to Discord?

• Check the token: run curl -H "Authorization: Bot $DISCORD_TOKEN" https://discord.com/api/v9/users/@me – you should receive a JSON user object.
• Verify network egress: ensure port 443 outbound is open.
• Inspect logs: journalctl -u openclaw.service -f or the logs/ folder.
• Look for rate‑limit messages (HTTP 429) and back‑off accordingly.

13. What logging options are available?

OpenClaw supports both plain‑text and JSON logging. In config.yaml set:

logging:
  level: INFO
  format: json   # options: text, json
  file: logs/openclaw.log

For centralized monitoring, forward the log file to UBOS partner program partners that provide ELK stack as a service.

14. How can I add custom slash commands?

Create a Python module inside cogs/. Example cogs/ping.py:

from discord.ext import commands

class Ping(commands.Cog):
    def __init__(self, bot):
        self.bot = bot

    @commands.slash_command(name="ping", description="Check bot latency")
    async def ping(self, ctx):
        await ctx.respond(f"Pong! {self.bot.latency*1000:.0f} ms")

def setup(bot):
    bot.add_cog(Ping(bot))

Reload the bot or run /reload ping to register the command instantly.

15. Is there a marketplace for ready‑made OpenClaw templates?

Yes. Browse the UBOS templates for quick start. Popular picks include the AI SEO Analyzer and the AI Chatbot template, which can be imported directly into your bot’s cogs/ folder.

16. How do I enable multi‑language support?

Use the Multi-language AI Translator template. After installing, add the target languages to .env:

TRANSLATE_LANGUAGES=es,fr,de,ja

Now the /translate command will auto‑detect source language and return the translation.

17. Can I integrate a vector search for knowledge‑base queries?

Combine the Chroma DB integration with OpenAI embeddings. Example snippet:

from openai import OpenAI
import chromadb

client = chromadb.Client()
collection = client.get_collection(name="kb")

def add_document(id, text):
    embedding = OpenAI().embeddings.create(input=text, model="text-embedding-3-large").data[0].embedding
    collection.add(ids=[id], documents=[text], embeddings=[embedding])

def query(question):
    q_emb = OpenAI().embeddings.create(input=question, model="text-embedding-3-large").data[0].embedding
    results = collection.query(query_embeddings=[q_emb], n_results=3)
    return results['documents'][0]

18. How do I set up billing for a SaaS offering of OpenClaw?

Leverage the AI marketing agents to automate subscription management. Connect Stripe via the stripe Python SDK, then store subscription IDs in Chroma DB. A minimal flow:

import stripe

stripe.api_key = "sk_test_..."

def create_subscription(customer_id, price_id):
    sub = stripe.Subscription.create(customer=customer_id, items=[{"price": price_id}])
    collection.add(ids=[customer_id], metadatas=[{"stripe_sub": sub.id}])
    return sub

Use the UBOS pricing plans page to display tiered pricing to your end‑users.

19. What is the best way to back up bot data?

Schedule a daily rsync job that copies the data/ directory to a remote storage bucket (e.g., AWS S3 or Backblaze B2). Example cron entry:

0 2 * * * rsync -avz /home/ubuntu/openclaw/data/ s3://my-backup-bucket/openclaw/$(date +\%F)

For Docker deployments, use a volume backup plugin such as docker-volume-backup.

20. Where can I find community support and advanced tutorials?

The official OpenClaw Discord server is the fastest way to get help. Additionally, the UBOS portfolio examples showcase real‑world deployments, and the MoltBot hosting page provides a case study of a high‑traffic bot built on the same stack.