Open Claw Setup: The Complete 2026 Install Guide

Step-by-step guide to installing, configuring, and optimizing Open Claw: Docker, model setup, extensions, team config, and performance tuning.

Key takeaways

• OpenClaw is the open-source Claude Code alternative — bring-your-own-key, MIT-licensed, fully self-hostable.
• Best fit for teams with strict data-residency, air-gapped environments, or who want to fork the agent loop itself.
• Tradeoff vs Claude Code: more setup, fewer guardrails, but full control over models, prompts, and tooling.

You have read about Open Claw, you are convinced it is worth trying, and now you want to get it running. This guide takes you from zero to a fully optimized installation — not just the basic setup from a README, but the advanced configuration that power users rely on for production-grade AI-assisted development.

We cover everything: prerequisites, five installation methods (including Docker and source builds), model provider configuration, extension management, team-wide setup, performance tuning, and troubleshooting the most common issues. Bookmark this page — you will reference it every time you set up Open Claw on a new machine.

Prerequisites

Installation Methods

Method 1: npm (Universal)

Method 2: Bun (Recommended — Fastest)

Method 3: Homebrew (macOS / Linux)

Method 4: Docker (Isolated Environment)

Docker is the best choice when you want complete isolation, need to run Open Claw on a shared server, or want a reproducible environment across your team.

Method 5: Build from Source

Initial Configuration

Full Annotated Config File

Model Provider Setup

Anthropic (Claude) — Most Popular

OpenAI (GPT)

Google (Gemini) — Best for Large Context

Ollama (Local Models — Free, Private)

Provider Comparison

Model Routing Configuration

Model routing is Open Claw's most powerful cost-saving feature. It automatically sends different task types to appropriate models:

Extension Management

Recommended Extension Stacks

Team-Wide Configuration

For teams, commit your config to the repo (without API keys) and use environment variable references:

Performance Tuning

Troubleshooting

Security Best Practices

• Never commit API keys. Use environment variables and reference them with {"
  quot;} syntax in config files.
• Enable terminal sandboxing. Set tools.terminal.sandbox: true to prevent destructive commands.
• Whitelist commands. Only permit commands you have explicitly approved in allowed_commands.
• Use read-only database credentials for the database extension during development. Never give the agent write access to production data.
• Review generated code before committing — especially for authentication, payment processing, and data handling.
• Enable audit logging. Track what the agent does for accountability and security review.

Your First Session

With everything installed and configured, here is how to verify your setup works:

Next Steps

• Write your AGENTS.md — Define project conventions and coding standards
• Configure model routing — Optimize cost vs. quality for different task types
• Install framework extensions — Add extensions for your tech stack
• Try it on real work — Do not start with a toy project. Use Open Claw on real tasks from day one
• Read our extensions guide to build custom extensions for your specific workflow
• Compare with alternatives — See how Open Claw stacks up in our Open Claw vs Claude Code comparison

Need help setting up Open Claw for your team? Let's design a configuration optimized for your stack and budget. And to see where a properly configured Open Claw sits among the rest of my tools, browse the open-source bench in my workshop.