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AI / OpenClaw Interview Questions

What is Canvas in OpenClaw?

Canvas is an agent-driven visual workspace within OpenClaw that runs as its own separate server process, rather than being folded into the main Gateway.

  • Defaults to running on port 18793
  • Kept isolated from the Gateway specifically so that if Canvas crashes, the Gateway keeps operating normally
  • Represents its own distinct security boundary, since Canvas serves agent-writable content

This separation is a deliberate architectural choice, isolating a component that renders agent-generated content from the core routing and session logic that everything else depends on.

What happens to the Gateway if Canvas crashes?
What kind of content does Canvas serve?

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What is OpenClaw? Who created OpenClaw? What is OpenClaw's license? What are the earlier names OpenClaw was known by? What is the Gateway in OpenClaw's architecture? What is a Skill in OpenClaw? What is ClawHub? What is Canvas in OpenClaw? What messaging channels does OpenClaw support? What AI model providers does OpenClaw support? What are the minimum hardware requirements to run OpenClaw? What is Sandbox Mode in OpenClaw? Define the Agent Runtime component in OpenClaw? What is a SKILL.md file in OpenClaw? What is the default port for OpenClaw's web gateway? What is the default port for OpenClaw's Canvas process? Describe how OpenClaw differs from a traditional chatbot? What is the purpose of the agents.list configuration? How do you install a skill from ClawHub? What is Trusted-Proxy authentication in OpenClaw? List the four architectural layers of OpenClaw's hub-and-spoke design? What does OpenClaw cost to run? What is session serialization in OpenClaw? Define the Tool Layer in OpenClaw's architecture? What is Skill Discovery vs Skill Injection in OpenClaw? What is the difference between Sandbox Mode off and Docker-based sandboxing in OpenClaw? Why does OpenClaw selectively inject only relevant skills instead of loading all skills into context? How does OpenClaw achieve data sovereignty when running local models via Ollama? What is the difference between OpenClaw's multi-agent support and running a single agent instance? Why is a skill in OpenClaw treated as a trusted instruction source by the Agent Runtime? How does OpenClaw's per-agent tool policy limit the blast radius of a compromised agent? What is the difference between OpenClaw's Gateway and its Canvas process? Why do security researchers recommend OAuth over long-lived API keys for OpenClaw skill integrations? What is the difference between OpenClaw serializing messages per session and running agents in parallel across sessions? Why was OpenClaw banned from some corporate work devices? How does exposing OpenClaw's gateway port to 0.0.0.0 create a security risk? What is the difference between a skill's self-declared permissions and independently verified sandbox enforcement? Why does an audit log stored in a mutable logs directory undermine forensic attribution? How does OpenClaw route a request through its model-selection layer? What is the difference between running OpenClaw directly on a host system versus inside a sandbox? Explain the lifecycle of a task from a chat message to a completed OpenClaw agent response? Explain the internal working of the Gateway's node.invoke frame routing? How can you optimize OpenClaw's context window usage across a session with many available skills? How do you troubleshoot an OpenClaw agent that appears to hang or serialize incorrectly across concurrent sessions? Which is better and why: running OpenClaw sandboxed inside Docker vs running it directly on a trusted personal device? Explain the internal working of OpenClaw's Docker sandbox management within the Agent Runtime? Explain, at a high level, the CVE-2026-25253 vulnerability and how OpenClaw addressed it? Explain the lifecycle of a compromised skill's permission risk, from installation to potential impact?
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