Deployables — Hire Your Next Employee in 2 Minutes

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Detail Information
What
Deployables is a managed hosting and deployment service for OpenClaw agents. It is designed for teams or operators that want to run AI agents on dedicated cloud machines without handling server provisioning, security setup, TLS, billing infrastructure, or DevOps maintenance.
The core workflow is straightforward: choose a platform, connect a communication channel, select an AI model, and deploy an agent that can work through messaging, web tasks, email, APIs, and voice calling. Based on the page, its current live offering centers on Linux-based OpenClaw deployment, while Windows and macOS desktop-control tiers are positioned as higher-capability options that are coming soon.
Features
- Managed OpenClaw deployment on dedicated infrastructure — each agent runs on its own cloud machine with persistent storage, which supports always-on operation without shared sandbox constraints.
- Fast setup flow — users can sign in, pick a platform and model, connect a channel, and launch an agent in minutes rather than configuring servers manually.
- Live screen view and dashboard — the product streams the agent’s activity in real time so users can monitor behavior, catch mistakes, and debug stalled workflows without SSH access.
- Built-in channel connectivity — Telegram is available now, and the page lists Slack, Discord, and WhatsApp as included or planned channels depending on the section, reducing webhook and bot setup work.
- Usage-based credit controls — the service includes monthly AI credits, shows real-time spending, supports top-ups, and can pause the agent at zero balance to limit unexpected usage.
- Voice calling with a dedicated phone number — every agent reportedly includes calling capabilities such as inbound reception, outbound calls, transcripts, and call controls for approved contacts and limits.
Helpful Tips
- Validate channel availability carefully — the page shows some channels as “coming soon” in one section while describing them as included elsewhere, so confirm current production readiness before making it part of a rollout plan.
- Start with Linux for automation-heavy workflows — if your needs are web actions, messaging, APIs, email, and scripts, the available Linux tier appears to be the most practical entry point.
- Use the live view as an operational control layer — this product is especially suited to processes where human oversight, error interception, and rapid debugging matter as much as automation itself.
- Plan budget guardrails early — spending caps, burn-rate alerts, and credit-based pausing are useful, but teams should still define task priorities and acceptable cost thresholds before broader deployment.
- Treat Windows and Mac use cases as roadmap options for now — desktop application control for tools like Excel, Outlook, SAP, QuickBooks, Xcode, and design software is described, but those tiers are not yet generally available on the page.
OpenClaw Skills
Deployables is effectively an operational wrapper around OpenClaw, so it fits naturally with OpenClaw-based skills, agents, and multi-step workflows. A likely use case is building role-specific agents such as inbox triage assistants, support responders, dispatch coordinators, lead qualification bots, or after-hours receptionists that run continuously on dedicated infrastructure and report through chat or voice channels.
Within the OpenClaw ecosystem, this could enable a more production-ready layer for companies that want agent workflows without self-hosting complexity. A likely next step would be orchestrated agent fleets where Linux agents handle APIs, messaging, and browser tasks, while future Windows or Mac agents handle desktop software workflows; combined with OpenClaw skills, that could reshape operations, support, and back-office work by turning monitored autonomous execution into a practical day-to-day operating model rather than an experimental setup.
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