This record as markdown: /tools/openclaw/daemon.md
What daemon does on OpenClaw
AI agents invoke daemon to trigger actions in OpenClaw. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why daemon is rated High
Managing a Gateway service (daemon) typically involves executing service control operations such as start, stop, restart, or reload. These are external system operations with potentially broad impact. The description is sparse ('legacy alias') which lowers confidence, but 'Manage the Gateway service' most naturally maps to Execute-level actions on a system service.
From the tool's definition 'Manage the Gateway service' — managing a daemon/service implies starting, stopping, or restarting a system-level process
Attacks that exploit this kind of access
The rule that runs daemon safely
PolicyLayer is an MCP gateway: it sits between your AI agents and OpenClaw, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For daemon, this is the rule to start with:
daemon stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect OpenClaw, apply this rule, and every daemon call is checked against it from then on.
Questions about daemon
Manage the Gateway service (legacy alias). It is categorised as a Execute tool in the OpenClaw MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the OpenClaw MCP server in PolicyLayer and add a rule for daemon: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches OpenClaw. Nothing to install.
daemon is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the daemon rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for daemon. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
daemon is provided by the OpenClaw MCP server (openclaw). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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