Deployment Guide

The definitive OpenClaw setup guide

Step-by-step instructions for deploying a resilient OpenClaw environment on your infrastructure.

Deploying OpenClaw correctly from day one is essential for building a stable, scalable AI operations platform. A rushed setup often leads to fragile networking, persistent database errors, and security vulnerabilities.

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Quick Answer

The recommended method for deploying OpenClaw is via Docker Compose. This allows you to manage the OpenClaw application, its PostgreSQL database, and Redis instance as a single, cohesive unit. Ensure you use named volumes for data persistence and an .env file for secrets.

Infrastructure Prerequisites

Before beginning the deployment, ensure your host machine meets the necessary hardware and software requirements.

Compute

A modern multi-core CPU. If you plan to run local inference (e.g., via Ollama) on the same machine, adequate RAM (16GB minimum, 32GB+ recommended) and ideally a dedicated GPU or Apple Silicon are required.

Software & Network

Docker and Docker Compose must be installed and up to date. A static IP address or reliable DNS resolution is required if deploying to a VPS.


Docker Compose Configuration

The recommended method for deploying OpenClaw is via Docker Compose. This allows you to manage the OpenClaw application, its database, and any message queues as a single, cohesive unit.

Structuring the Deployment

Create a dedicated directory for your OpenClaw deployment. Within this directory, you will define your docker-compose.yml file. This file should define the core OpenClaw service, a PostgreSQL database for persistence, and a Redis instance if required for task queuing.

Crucial Step: Ensure you use named volumes for your database data to prevent data loss when containers are recreated.


Environment Variables

OpenClaw relies heavily on environment variables for configuration. Never hardcode secrets into your docker-compose.yml file. Instead, use an .env file.

Critical Configurations

  • Database Credentials: Set strong, unique passwords for your PostgreSQL database.
  • API Keys: Define the authentication keys required to access the OpenClaw API.
  • Inference Endpoints: Specify the URLs for your local (Ollama) or external LLM providers.
POSTGRES_USER=openclaw
POSTGRES_PASSWORD=your_secure_password
OPENCLAW_API_KEY=generate_a_secure_random_key

The Clovrin Verified Baseline

While the steps above provide a functional setup, a true production environment requires a fundamentally different approach. The Clovrin Verified Baseline is our standard for secure, reliable AI operations.

Curated Automation Workflows
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Stripe Reconciliation Workflow

v1.2.4
Verified by Clovrin

Automatically matches Stripe payouts to internal invoices and flags discrepancies for review.

Last Audited2 days ago
Source CodeLocked (Private)
Permissions Required
Read-Only Stripe
Write Notion
Designed to reduce data exposure
Executive Approval Firewall
Intercepted Action
System Prompt:
Model: Private-Llama-70B

"I summarized the thread, prepared a reply, and found two follow-ups. Waiting for human review before anything leaves the firm."

Local Environment
Sensitive action gate
Outbound action is paused until the draft is approved and sent externally.

Awaiting Click

Human review required before client-facing action.

Approval-first architecture: the workflow prepares; a human controls client-facing send.

Instead of spending weeks configuring Docker networks, writing firewall rules, and debugging API connections, our team deploys this entire architecture for you. You get a turnkey, secure environment ready for your operational workflows.

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Official References

For further reading and the most up-to-date technical specifications, please consult the official documentation:

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