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Clawdbot Docker Setup 2026: Production-Ready Container Deployment Guide

February 10, 2026 11 min read Docker Guide

Guide Overview: Learn professional Clawdbot deployment with Docker. This guide covers Dockerfile creation, container orchestration, volume management, and production best practices. Perfect for teams running multiple agents or production workloads.

Docker transforms Clawdbot deployment from chaotic manual setup to reproducible, scalable infrastructure. After managing 50+ Clawdbot containers across development, staging, and production environments, I've learned what separates amateur Docker usage from professional deployments. This guide shares those hard-won lessons.

The biggest advantage of containerized Clawdbot is environment consistency. Build once, deploy anywhere. No more "works on my machine" problems. Your development container runs identically in production. For teams, this is transformational. For solo developers, it simplifies testing and rollbacks.

Why Docker for Clawdbot

Container Benefits for AI Agents

Isolation

Each agent runs in isolated environment. No dependency conflicts between different Clawdbot versions or Node.js installations.

Reproducibility

Same Docker image runs identically everywhere. Eliminates environment-specific bugs and configuration drift.

Scalability

Launch 10 agents as easily as one. Docker Compose orchestrates multiple containers with single command.

Rollbacks

Tag each image with version. Bad update? Roll back to previous image in seconds, not hours.

When NOT to Use Docker

If you're running a single Clawdbot agent for personal use on your laptop, Docker adds complexity without much benefit. The standard installation is simpler and equally effective.

Use Docker when: Running multiple agents, deploying to servers, working in teams, or need production-grade reliability.

Prerequisites

Required Software

  • Docker Desktop 4.20+ (Windows/Mac) or Docker Engine (Linux)
  • Docker Compose 2.0+ (included in Docker Desktop)
  • Git for cloning Clawdbot repository
  • Text editor (VS Code, Vim, etc) for editing Dockerfile

API Credentials

  • Anthropic API Key from console.anthropic.com
  • Telegram Bot Token from @BotFather
  • Optional: OpenAI, WhatsApp Business credentials

Network Requirements

Docker pulls base images (300-500MB) and Clawdbot dependencies (350MB+). Slow connections cause build failures.

Recommended: VPN07's 1000Mbps network completes Docker builds in 6-8 minutes. Throttled connections fail with timeout errors.

Creating Production Dockerfile

Optimized Dockerfile for Clawdbot

# Use official Node.js 22 Alpine image for minimal size
FROM node:22-alpine

# Install system dependencies
RUN apk add --no-cache \
    python3 \
    make \
    g++ \
    git \
    curl

# Create app directory
WORKDIR /app

# Copy package files first (for layer caching)
COPY package*.json ./

# Install dependencies
RUN npm ci --only=production

# Copy application code
COPY . .

# Create non-root user for security
RUN addgroup -g 1001 -S clawbot && \
    adduser -S clawbot -u 1001

# Set ownership
RUN chown -R clawbot:clawbot /app

# Switch to non-root user
USER clawbot

# Expose port (if using web interface)
EXPOSE 3000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s \
  CMD node healthcheck.js || exit 1

# Start Clawdbot
CMD ["node", "index.js"]
Key Optimization Techniques
  • Layer Caching: Copy package.json before source code. Rebuilds skip npm install if dependencies unchanged.
  • Alpine Base: Alpine Linux reduces image size from 900MB to 300MB without losing functionality.
  • Non-Root User: Run as unprivileged user for security. Prevents container breakout attacks.
  • Health Check: Docker monitors agent health and auto-restarts on failures.

Docker Compose Configuration

Create docker-compose.yml

version: '3.8'

services:
  clawdbot:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: clawdbot-agent
    restart: unless-stopped
    environment:
      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
      - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
      - NODE_ENV=production
    volumes:
      - ./data:/app/data
      - ./logs:/app/logs
      - ./config:/app/config:ro
    networks:
      - clawbot-network
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

networks:
  clawbot-network:
    driver: bridge

Configuration Highlights: Environment variables kept in .env file (not committed to git). Volumes persist data across container restarts. Logging limits prevent disk space exhaustion.

Create .env File

Store sensitive credentials in .env file in same directory as docker-compose.yml:

ANTHROPIC_API_KEY=sk-ant-xxxxxxxxxxxxx
TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHI
NODE_ENV=production

Add .env to .gitignore to prevent committing API keys!

Building and Running

1 Build Docker Image

docker-compose build

First build downloads Node.js base image (300MB) and installs dependencies (350MB). With 1000Mbps connection, completes in 6-8 minutes. Progress bars show download status.

2 Start Container

docker-compose up -d

Flag -d runs container in background (detached mode). Container starts in 5-10 seconds.

3 View Logs

docker-compose logs -f clawdbot

Flag -f follows logs in real-time. Watch agent connect to Claude API and initialize.

4 Verify Running Status

docker-compose ps

Shows container status. "Up" status with health check "healthy" confirms successful start.

Volume Management

Understanding Docker Volumes

./data Volume

Stores agent state, downloaded skills, and runtime data. Persists across container restarts and updates. Critical for maintaining agent memory.

./logs Volume

Container logs persist here for debugging. Separate from Docker logs (which have size limits). Useful for audit trails and error investigation.

./config Volume (Read-Only)

Configuration files mounted read-only. Container cannot modify config, preventing corruption. Update config by editing host files and restarting container.

Volume Backup Strategy

Containers are ephemeral but data must persist. Regular backups prevent data loss during updates or failures.

tar -czf clawdbot-backup-$(date +%Y%m%d).tar.gz ./data ./logs ./config

Run daily backups. Store compressed archive in separate location or cloud storage.

Running Multiple Agents

Scale to Multiple Containers

Docker Compose makes running multiple Clawdbot agents trivial. Each agent gets isolated environment with own API keys and configuration.

# Scale to 5 agents
docker-compose up -d --scale clawdbot=5

# Check all running agents
docker-compose ps

# View logs from specific agent
docker-compose logs clawdbot-agent-3
Resource Considerations
  • RAM: Each agent needs 500MB-1GB. Monitor with docker stats
  • Bandwidth: Multiple agents multiply API traffic. VPN07's 1000Mbps handles 10+ agents simultaneously
  • Storage: Each agent generates 2-5GB monthly logs and data. Plan disk capacity accordingly

Production Best Practices

✅ Always use tagged images

Never use :latest tag in production. Tag images with version numbers or git commit hashes for rollback capability.

docker build -t clawdbot:v1.2.3 .

✅ Implement health checks

Docker monitors agent health and auto-restarts on failures. Prevents silent failures that stop automation.

✅ Limit log file sizes

Configure log rotation in docker-compose.yml. Prevents logs consuming all disk space over weeks of operation.

✅ Use VPN07's 1000Mbps network

Production deployments need reliable bandwidth. VPN07's international infrastructure prevents API timeout errors that crash agents.

✅ Regular security updates

Rebuild images monthly to include Node.js and system security patches. Use docker-compose build --no-cache to force fresh build.

Network Performance for Containers

Why Containerized Clawdbot Needs 1000Mbps

Additional Bandwidth Overhead

  • Image Pulls: Base images and updates total 300-500MB per build
  • Layer Transfers: Docker registry pushes/pulls consume bandwidth during deployments
  • Bridge Network: Container networking adds 5-10% overhead versus native
  • Multi-Agent Traffic: 5 agents = 5x API calls simultaneously
6 min
Build Time (1000Mbps)
18 min
Build Time (300Mbps)
Failed
Throttled VPN

Common Docker Commands

Essential Commands Cheat Sheet

docker-compose down

Stop and remove all containers

docker-compose restart

Restart all services

docker-compose exec clawdbot sh

Open shell inside running container for debugging

docker system prune -a

Clean up unused images and containers to free disk space

docker stats

Real-time resource usage (CPU, RAM, network) for all containers

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