OpenClaw 2026.3.22 is an open-source platform for running AI agents on your own hardware. It lets you keep data closer to you while still using modern language models. This guide uses simple language so beginners and non‑native English speakers can follow it.
OpenClaw is an open‑source platform for running AI agents on your own hardware. Version 2026.3.22 introduces the ClawHub plugin marketplace, new models like MiniMax M2.7 and GPT‑5.4‑mini, and stronger execution sandboxes. This guide focuses on clear, beginner‑friendly steps for local installation and first use.
What Is OpenClaw?
OpenClaw manages long‑running AI agents that can connect to chat apps, email, and web tools through one gateway service. Agents store memory as files on disk and call language models to process text. A “language model” is an AI program that reads text and produces new text based on patterns it learned during training.
Key components:
- Gateway: core service that routes messages, tools, and model calls.
- Agents: long‑lived workers with their own instructions and memory.
- Plugins / Skills: extra tools such as email, calendar, and search.
- Models: AI brains like GPT‑5.4‑mini, MiniMax M2.7, or local GLM models.
System Requirements
For a small personal node:
- 4‑core CPU.
- 8 GB RAM or more.
- Around 40 GB SSD space.
- Stable internet for downloads and remote models.
For an appliance, the ClawBox device uses NVIDIA Jetson Orin Nano 8 GB, 512 GB NVMe SSD, and runs OpenClaw 24/7.
Install Methods Overview
Method 1 (Recommended): Installer Script
The official docs call the installer script the fastest path for macOS, Linux, and WSL2.
bash:
curl -fsSL https://openclaw.ai/install.sh | bash
This script:
- Detects your OS.
- Installs Node.js if needed.
- Installs OpenClaw.
- Launches onboarding, the first‑time setup wizard.
If onboarding does not launch, use:
bash:
openclaw onboard --install-daemon
The daemon is a background service that keeps OpenClaw running after you close the terminal.
Method 2: Global npm Install
If Node.js and npm are already installed and you prefer manual control:
bash:
npm install -g openclaw@latest
openclaw onboard --install-daemon
This method gives the same end result as the script but exposes more internal steps.
Method 3: From Source (Advanced)
For custom builds or contributions:
bash:
git clone https://github.com/openclaw/openclaw.git
cd openclaw
pnpm install && pnpm ui:build && pnpm build
pnpm link --global
openclaw onboard --install-daemon
This sequence builds OpenClaw from source and links the CLI globally.
First Start and Health Check
After installation, check the gateway:
bash:
openclaw gateway status
If it is not active:
bash:
openclaw gateway start
The 2026.3.22 release improves session loading and context handling, so the gateway handles long‑running agents more smoothly.
You can inspect logs with:
bash:
openclaw logs gateway
Logs help debug model errors, plugin issues, or channel problems.
Basic Usage
Start a Chat Session
Use:
bash:
openclaw chat
You now talk with your default agent. Try:
- “Explain OpenClaw like I am new to AI.”
- “Write a short email to confirm a meeting.”
The agent uses your chosen default model and any installed skills.
Install Your First Plugin with ClawHub
ClawHub is a plugin marketplace that ships with 2026.3.22.
Search:
bash:
openclaw skills search inbox
Install:
bash:
openclaw plugins install clawhub:email-inbox
openclaw plugins list
The release changes plugin resolution so openclaw plugins install now prefers ClawHub and supports plugin@marketplace patterns for some Claude ecosystem plugins.
Simple Model Strategy for Beginners
During onboarding you choose model providers and add API keys or local endpoints.
For beginners:
- Pick a small model like GPT‑5.4‑mini as default to keep responses fast and costs lower.
- Add stronger models only for rare, complex tasks.
- Plan a local engine later (such as Z.AI GLM or hardware like ClawBox) for private workloads.
Practical Tips and Next Steps
Keep Configuration Small
Start with one channel, such as Telegram, and one or two plugins. This keeps debugging simple and avoids overload.
Read Release Notes Highlights
The 2026.3.22 notes mention changes like the removal of the old Chrome extension relay, new Chrome DevTools‑based automation, search tool upgrades, and stronger sandbox rules. Understanding these points prevents confusion when older blog posts mention deprecated paths.
With these steps and references, a beginner can move from zero to a working OpenClaw 2026.3.22 node that runs locally and stays under personal control.
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