19 OpenClaw Interview Questions (ANSWERED) for AI Developers and Engineers

Channels are the messaging integrations through which people communicate with OpenClaw. A channel plugin handles a platform's inbound and outbound messages. The Gateway normalizes those messages and routes them to agents without requiring each agent to implement every chat API.

OpenClaw is an open-source, self-hosted gateway for AI agents. It connects channels such as Slack, Telegram, Discord, and WhatsApp to an agent runtime, so users can reach an assistant while keeping the gateway under their own control.

The Gateway is the control point between channel plugins and agents. It owns channel connections, routing, sessions, and configuration, then forwards messages to the appropriate agent. Running one Gateway lets multiple chat surfaces use the same managed agent environment.

Sessions preserve conversational context, so their boundaries determine what an agent can remember. Design them around a user, team, or task boundary. Do not share sensitive context across unrelated senders; define expiry, reset, and audit practices for long-lived sessions.

OpenClaw writes memory as plain Markdown files in the agent workspace: MEMORY.md for durable facts loaded at session start, dated notes for daily context, and an optional file for consolidated summaries. Agents retrieve it with semantic and keyword search over those files rather than through hidden model state, so nothing is remembered unless it was actually saved to disk.

OpenClaw can route inbound traffic to isolated agents using bindings, workspaces, and channel-account scopes. Assign each agent a narrow role, explicit workspace, model, skills, and channel binding.

Prefer deterministic routing rules over asking one general agent to decide every request.

An agent workspace is the agent's dedicated working directory and context boundary. It can contain:

• Task files and instructions.
• IDENTITY.md and approved assets.
• Purpose-specific tools and policies.

Separate workspaces reduce accidental cross-agent access.

OpenClaw provides the agent gateway, channel routing, sessions, and runtime environment. MCP provides a standardized way for an agent to discover and call external tools and resources. Together, OpenClaw can route a user request to an agent that uses a governed MCP server for business actions.

Skills give an agent an instructed capability or workflow, including when and how to use it. A plugin extends the runtime with code, integrations, or channel functionality. Both need review:

• Skills can influence agent decisions.
• Plugins may introduce executable code and broader access.

Choose a model based on task quality, tool-use reliability, latency, context needs, cost, data policy, and provider availability. Use stronger models for ambiguous or high-impact work, and cheaper models for classification or routine summaries. Evaluate with realistic agent tasks before rollout.

Use this ordered diagnostic process:

1. Check Gateway health and logs.
2. Verify the channel plugin is authenticated and connected.
3. Confirm sender allowlists, mention rules, and the target agent binding.
4. Check model credentials, rate limits, tool failures, and session errors before changing configuration.

Exec approvals stack policy, an allowlist, and human sign-off. Set the policy to ask (or allowlist) so only pre-approved commands run without a prompt, and route anything else to an authorized operator through the Control UI, the desktop app, or a chat channel. Reserve the permissive full policy for trusted, low-risk agents only.

Keep the Gateway loopback-only by default and reach it through an SSH tunnel or a Tailscale tailnet instead of a public bind. If a non-loopback bind is unavoidable, require Gateway authentication (token or password) and pin the TLS certificate for a self-signed Gateway.

Sandboxing has two independent settings. Mode decides when it applies: off, non-main (every session except the agent's primary one), or all. Scope decides how many isolated environments exist: one per agent, one per session, or a single shared environment. Pick stricter mode and scope combinations for agents that run untrusted or exec-capable skills.

Self-hosting gives the team control over:

• Data location and network access.
• Credentials, models, and upgrades.
• The host, runtime, and plugin patching process.

It also creates operational responsibility: restrict inbound users, protect secrets, and monitor activity.