Install OpenClaw with One Command
OpenClaw is an open-source AI assistant framework with over 334K+ GitHub stars, making it one of the most influential AI Agent development platforms available today. It provides developers with a complete toolchain for building intelligent agents that understand natural language instructions, execute complex tasks, and interact with external tools and APIs. OpenClaw's architecture follows the Model Context Protocol (MCP) standard, enabling agents to safely and controllably access file systems, databases, web APIs, and other external resources.
OpenClaw's core value lies in transforming AI from a "conversation tool" into an "execution tool." Through OpenClaw, users can build AI assistants that autonomously complete real tasks -- code writing, document generation, data analysis, system administration, and more. It supports multiple LLM backends including Claude, GPT, and local models, and provides flexible permission controls and audit mechanisms that meet enterprise-grade security requirements.
Why Installing OpenClaw Is Hard
OpenClaw is a multi-component distributed system whose full installation involves more services and configuration complexity than typical AI tools. Here are the most common challenges users face:
- Complex multi-service architecture -- OpenClaw consists of a Platform (control plane), Worker (execution node), MCP Server (tool gateway), database, and more. Each service has its own runtime dependencies and configuration requirements, making manual step-by-step deployment highly error-prone. Inter-service communication depends on correct network configuration and authentication tokens -- any broken link renders the entire system unusable.
- Database setup -- OpenClaw requires PostgreSQL to store task state, device information, and runtime logs. Installing PostgreSQL, creating a database and user, running schema migrations, and configuring connection strings -- each step is a potential failure point. For developers unfamiliar with database administration, this is a significant barrier to entry.
- Agent configuration -- OpenClaw agents require configuration of LLM provider API keys, tool permission boundaries, safety levels, autonomy tiers, and many other parameters. The agent-runtime.yaml configuration file's syntax and options are not intuitive for newcomers, and misconfigurations can cause agents to malfunction or create security issues.
- MCP Server build and deployment -- The MCP Server is a Node.js application requiring npm to build. Node.js version management (nvm, fnm, volta) and npm package installation (especially packages with native addons) frequently cause issues across different systems. The MCP Server also needs appropriate file system permissions to execute tool operations.
- Cross-platform differences -- OpenClaw supports macOS, Linux, and Windows, but each platform has different system calls, file path conventions, and permission models. The gap between PowerShell and POSIX shells on Windows, combined with WSL2's additional complexity, makes cross-platform deployment particularly challenging.
How AIMA Solves This
AIMA itself is built on the OpenClaw technology stack, giving it the deepest possible understanding of OpenClaw's installation requirements. AIMA's AI Agent can precisely handle every step of deploying OpenClaw's multi-service architecture.
- Full-stack automated deployment -- Installs and configures PostgreSQL, Platform, Worker, and MCP Server components, handling inter-service authentication tokens and network connectivity.
- Database out of the box -- Automatically installs PostgreSQL (or runs it via Docker), creates the database and user, executes schema migrations, and sets up connection strings.
- OS-aware installation -- Selects the appropriate installation method, configuration paths, and launch scripts based on your specific macOS, Linux, or Windows version, eliminating cross-platform deployment headaches.
- End-to-end health verification -- After installation, verifies every service is running: Platform API responds, Worker is connected, MCP Server is healthy.
Step-by-Step: Install OpenClaw with AIMA
Step 1: Open a Terminal
On macOS, open Terminal.app or iTerm2. On Linux, open your preferred terminal emulator. On Windows, open PowerShell as Administrator.
Step 2: Run the Install Command
For macOS and Linux:
curl -sL https://aimaserver.com/install/openclaw | bash For Windows (PowerShell):
iex (irm https://aimaserver.com/install/openclaw) Step 3: Enter Your Invite Code
After the command runs, the AIMA client starts and prompts you for an invite code. This code links your device to the AIMA platform and activates the AI Agent installation capabilities.
Step 4: AIMA Handles the Rest
AIMA detects your system environment, installs PostgreSQL and Node.js (if not present), deploys all OpenClaw service components, configures inter-service communication, and runs database migrations. No manual intervention is required throughout the process.
Step 5: Start Using OpenClaw
Once installation is complete, AIMA reports the OpenClaw Platform access URL -- typically http://localhost:8000. You can use the Dashboard to check system status, connect devices via the CLI, or start configuring your first AI Agent.
System Requirements
| Component | Requirement |
|---|---|
| Operating System | macOS 12+, Ubuntu 22.04/24.04, Windows 10/11 |
| Memory (RAM) | 4 GB minimum, 8 GB+ recommended |
| Disk Space | At least 5 GB (database, Node.js dependencies, and Python environment) |
| CPU | x86_64 or ARM64 (Apple Silicon natively supported) |
| Network | Internet connection required to download dependencies and connect to LLM APIs |
Common Issues AIMA Handles Automatically
- PostgreSQL installation and configuration -- Installs the database, creates users and databases, runs schema migrations. Supports both Docker-based and system-level installation.
- Incompatible Node.js version -- Installs the appropriate Node.js version and builds the MCP Server in the correct environment.
- Inter-service authentication failures -- Generates and configures internal tokens, ensuring the authentication chain between Platform, Worker, and MCP Server is intact.
- Port conflicts -- Detects and resolves conflicts on commonly used ports like 8000 and 3000.
- Python virtual environment issues -- Creates an isolated Python environment and installs the correct Platform dependencies.
Frequently Asked Questions
What is the relationship between OpenClaw and AIMA?
AIMA is an AI-powered installation platform built on the OpenClaw technology stack. OpenClaw is the underlying AI Agent framework; AIMA builds on it to deliver automated open-source tool installation capabilities. Installing OpenClaw through AIMA essentially means using OpenClaw's own capabilities to deploy itself -- which also serves as the best possible validation of the framework.
Does OpenClaw require an API key to run?
The OpenClaw Platform and Worker can run without external API keys. However, if you want to configure an AI Agent that uses a cloud LLM (such as Claude or GPT), you will need the corresponding provider's API key. You can also connect local models through Ollama, which requires no external API keys at all.
Can I build my own AI Agent on OpenClaw?
Absolutely. OpenClaw is fundamentally an Agent development framework. After installation, you can define your agent's behavior, tool permissions, and safety boundaries by writing an agent-runtime.yaml file, then deploy and manage your agent through the Platform API. OpenClaw's MCP Server architecture makes it straightforward to extend the set of tools available to your agents.
Where is OpenClaw's data stored after installation?
All data resides in the PostgreSQL database on your local machine, including task records, device information, and runtime logs. Workspace files are stored on local disk. You have full control over all data and can back up, migrate, or delete it at any time.
How does OpenClaw compare to other Agent frameworks like LangChain or AutoGPT?
OpenClaw's key differentiator is that it is an operations-execution-oriented Agent framework, not just a conversation or reasoning tool. It includes built-in device management, task dispatch, multi-OS support, and security auditing -- all production-grade capabilities. The MCP protocol provides a standardized tool access interface, enabling agents to interact with the operating system and external services in a secure, controlled manner. LangChain focuses more on LLM application chain orchestration, while AutoGPT emphasizes autonomous reasoning loops.
Ready to install OpenClaw?
One command. AIMA deploys every service component for you.