The Complete OpenClaw Setup Guide: From Zero to Running AI Agent

OpenClaw is one of the most powerful open-source AI agent frameworks available today. It enables you to build, deploy, and manage autonomous AI agents that can browse the web, execute code, manage files, and interact with external services. But its installation process is notoriously complex — and it trips up even experienced developers.

This guide is the result of hundreds of successful OpenClaw installations performed by our team at OpenClawRUS. We've documented every step, every common failure point, and every fix so you can get from zero to a fully running AI agent as efficiently as possible.

Prerequisites: What You Need Before You Start

Before touching the OpenClaw repository, you need to ensure your system meets all prerequisites. Skipping this step is the single most common reason installations fail.

• Python 3.10 or 3.11 — OpenClaw does not support Python 3.12+ as of early 2026. Use pyenv to manage multiple Python versions.
• Node.js 18 or 20 — Required for certain OpenClaw components. Use nvm for version management.
• Git — For cloning the repository and managing updates.
• pip and virtualenv — Essential for isolated Python environments.
• 4GB+ RAM — OpenClaw with active agents is memory-intensive.

Step 1: Clone the Repository

Start by cloning the official OpenClaw repository. Always clone from the official source to avoid modified or malicious forks.

git clone https://github.com/openclaw/openclaw.git cd openclaw

Step 2: Create a Virtual Environment

Never install OpenClaw into your system Python. Always use a virtual environment to isolate its dependencies from other projects.

python3.11 -m venv .venv source .venv/bin/activate  # Mac/Linux .venv\Scripts\activate     # Windows

Step 3: Install Dependencies

With your virtual environment activated, install all required packages. This step is where most dependency conflicts occur.

pip install --upgrade pip pip install -r requirements.txt

If you encounter conflicts during this step, do not attempt to resolve them manually by downgrading individual packages — this almost always creates new conflicts. Instead, check the OpenClaw GitHub issues for known compatibility matrices, or contact our team for a clean resolution.

Step 4: Configure Your API Keys

OpenClaw requires API keys for the AI model providers you plan to use. Copy the example configuration file and populate it with your credentials.

cp config.example.yaml config.yaml # Edit config.yaml with your API keys

Step 5: Run the Initial Setup

Execute the setup script to initialize the database, verify your configuration, and run a self-test.

python setup.py python -m openclaw --test

Common Errors and Fixes

Even following these steps precisely, you may encounter errors. Here are the most common ones and their solutions:

• ModuleNotFoundError — Your virtual environment is not activated, or a package failed to install silently. Re-activate and reinstall.
• SSL Certificate Error — Often a system-level issue on macOS. Run pip install certifi and update your SSL certificates.
• Port Already in Use — Another process is using OpenClaw's default port. Change the port in config.yaml or kill the conflicting process.
• Permission Denied — On Linux/macOS, you may need to adjust file permissions on the OpenClaw directory.

Getting Professional Help

If you've followed this guide and are still encountering issues, you're not alone. The OpenClaw setup process has edge cases that depend on your specific system configuration, OS version, and existing software. Our team at OpenClawRUS specializes in resolving exactly these situations — typically within a few hours.