CLI automation
Use remoteclaw onboard --non-interactive to script setup. It requires --accept-risk: non-interactive setup can write credentials and daemon config without a confirmation prompt, so the flag is the explicit risk acknowledgement.
Baseline non-interactive example
remoteclaw onboard --non-interactive --accept-risk \ --mode local \ --auth-choice apiKey \ --anthropic-api-key "$ANTHROPIC_API_KEY" \ --secret-input-mode plaintext \ --gateway-bind loopback \ --install-daemon \ --daemon-runtime node \ --skip-bootstrap \ --skip-skillsAdd --json for a machine-readable summary.
--gateway-portdefaults to18789; only pass it to override.--skip-bootstrapskips creating default workspace files, for automation that pre-seeds its own workspace.--secret-input-mode refstores an env-backed reference ({ source: "env", provider: "default", id: "<ENV_VAR>" }) in the auth profile instead of the plaintext key. In non-interactiverefmode, the provider env var must already be set in the process environment: passing an inline key flag without its matching env var fails fast.
remoteclaw onboard --non-interactive --accept-risk \ --mode local \ --auth-choice openai-api-key \ --secret-input-mode refProvider-specific examples
`--custom-api-key` is optional; some endpoints do not require auth. If omitted, onboarding checks `CUSTOM_API_KEY` in env. `--custom-provider-id` is optional and auto-derived from the base URL when omitted. `--custom-compatibility` defaults to `openai` (other values: `openai-responses`, `anthropic`).
RemoteClaw infers image-input support from known vision model-id patterns (`gpt-4o`, `claude-3/4`, `gemini`, `-vl`/`vision` suffixes, and similar). Add `--custom-image-input` to force it on for an unrecognized vision model, or `--custom-text-input` to force text-only.
Ref-mode variant, storing `apiKey` as `{ source: "env", provider: "default", id: "CUSTOM_API_KEY" }`:
```bashexport CUSTOM_API_KEY="your-key"remoteclaw onboard --non-interactive --accept-risk \ --mode local \ --auth-choice custom-api-key \ --custom-base-url "https://llm.example.com/v1" \ --custom-model-id "foo-large" \ --secret-input-mode ref \ --custom-provider-id "my-custom" \ --custom-compatibility anthropic \ --custom-image-input \ --gateway-bind loopback```Anthropic setup-token auth remains supported, but RemoteClaw prefers Claude CLI reuse when a local Claude CLI login is available. For production, prefer an Anthropic API key.
Add another agent
remoteclaw agents add <name> creates a separate agent with its own workspace, sessions, and auth profiles. Running it without --workspace (and no other flags) launches the interactive wizard; passing any of --workspace, --model, --agent-dir, --bind, or --non-interactive runs it non-interactively and then requires --workspace.
remoteclaw agents add work \ --workspace ~/.remoteclaw/workspace-work \ --model openai/gpt-5.5 \ --bind whatsapp:biz \ --non-interactive \ --jsonConfig keys it writes (agents.list[] entry for the new agent id):
nameworkspaceagentDirmodel(only when--modelis passed)
Notes:
- Default workspace (when
--workspaceis omitted in the interactive wizard):~/.remoteclaw/workspace-<agentId>. --bind <channel[:accountId]>is repeatable; add bindings to route inbound messages to the new agent (the wizard can also do this interactively).- The agent name is normalized to a valid agent id;
mainis reserved.
Related docs
- Onboarding hub: Onboarding (CLI)
- Full reference: CLI Setup Reference
- Command reference:
remoteclaw onboard