Understand the trust boundary before you run the agent.

OpenClaw is an open source personal AI assistant. A gateway connects an agent to model providers, messaging channels and enabled tools. It can act through those tools, so its permissions and trust boundary matter as much as the model it uses.

A basic chatbot primarily produces conversation. A tool-using assistant can also hold state, receive messages from channels, invoke enabled tools and run scheduled work. Exact behavior depends on configuration, so do not infer permissions from a demo or product label.

OpenClaw's official guidance says to assume the model can be manipulated. Untrusted messages or web content may influence it, while broad credentials and tool permissions increase the impact of a mistake. Exposed gateway access, weak sender policy and unreviewed extensions add further risk.

Start with identity and access, then reduce scope. Keep the gateway authenticated and appropriately bound, pair or allowlist senders, use least-privilege credentials, isolate risky tools, review extensions and run the official security audit after changes. No checklist removes all risk.

The official onboarding flow is guided, but operating a tool-using assistant still involves API keys, host security, permissions and incident response. If those responsibilities are unfamiliar, use a qualified operator or keep the deployment isolated while you learn.