CloudBot: AI Agents That Actually Use Your Computer

AI That Doesn't Just Talk — It Works

CloudBot is launching what it calls "AI employees" — autonomous agents that run on real cloud computers, complete with Ubuntu desktops, browsers, and productivity software. Unlike chatbots that generate text or RPA tools that follow rigid scripts, CloudBot's agents see the screen, move the mouse, type on the keyboard, and use any application just like a human would.

Built on the open-source OpenClaw framework (which has amassed 173k+ GitHub stars), CloudBot enhances the base technology for cloud deployment. The result is a system where you describe a task in plain English, watch the AI execute it in real-time on a virtual desktop, and receive the completed work — whether that's code, reports, or processed documents.

What Makes This Different

The key innovation is giving AI actual computer control rather than API-based automation. Each worker is a full Ubuntu desktop environment with Chrome, VS Code, LibreOffice, and over 100 built-in skills including browser automation, file processing, shell commands, and web scraping. The AI can:

• See and interact: Uses computer vision to read screens, recognize UI elements, and control applications through mouse and keyboard
• Plan autonomously: Breaks complex goals into executable steps without constant prompting
• Remember context: Maintains persistent memory across sessions for consistent performance
• Work 24/7: Runs continuously on cloud infrastructure with scheduled tasks and proactive monitoring

Real-World Applications

CloudBot positions itself across multiple business functions where repetitive computer work bogs down human employees:

Software Development: Writing code, reviewing pull requests, running tests, managing Git repositories, and debugging — all hands-free

Web Research & Reporting: Searching the web, reading articles, summarizing findings, and compiling structured reports with citations

Sales & Lead Generation: Scraping lead databases, enriching contact information, updating CRMs, and sending personalized outreach

Content Creation: Drafting social media posts, scheduling across platforms, tracking engagement metrics, and repurposing content

Administrative Tasks: Processing invoices, reconciling transactions, organizing files, generating financial reports

HR & Recruiting: Sourcing candidates, screening resumes, scheduling interviews, managing onboarding workflows

Data Processing: Extracting information from PDFs, filling spreadsheets, migrating records, cleaning datasets

Monitoring & Alerts: Running scheduled checks, sending morning briefs, watching dashboards, flagging anomalies

Technical Architecture

Each CloudBot worker runs in an isolated AWS VPC container with dedicated resources — no shared infrastructure between accounts. The system combines several key technologies:

• Screen Vision AI: Computer vision that interprets everything visible on screen, from text recognition to UI element identification
• Browser Automation: Chrome DevTools Protocol integration for form filling, data scraping, and web app navigation
• Persistent Memory: Context retention across sessions, remembering preferences and past interactions
• Multi-Agent Coordination: Ability to spin up multiple workers that collaborate on complex projects in parallel

Pricing and Business Model

CloudBot uses a straightforward pricing structure where every plan gets identical AI capabilities — the only difference is computing power:

Pro Tier ($69/month): 2 vCPU, 8GB RAM — optimized for everyday work tasks Business Tier ($139/month): 4 vCPU, 16GB RAM — built for heavy multitasking and development work

Both tiers include the full Ubuntu desktop, vision/mouse/keyboard control, 100+ app integrations, memory system, and 24/7 uptime. Users bring their own Anthropic API key, meaning CloudBot charges only for the cloud infrastructure while customers pay AI costs directly to Anthropic.

Security and Compliance

Every account receives enterprise-grade security from day one:

• Isolated Infrastructure: AWS VPC with dedicated containers, no shared resources
• End-to-End Encryption: AES-256 at rest, TLS 1.3 in transit, credentials never stored in plaintext
• Zero Data Retention: GDPR compliant with no training on customer data; deleted workers are permanently erased
• Complete Audit Trails: SOC 2 compliance with timestamped logging of every action

Integration Capabilities

Rather than requiring API connections to specific applications, CloudBot works with any software through its computer control interface. The system integrates with major messaging platforms for command input and status updates:

Messaging Channels: Embedded chat, Slack, Microsoft Teams, Email, WhatsApp, Messenger, Telegram, Discord, Signal, LINE, WeChat, SMS

Applications: Chrome, Firefox, Terminal, File Manager, VS Code, Google Workspace, Microsoft 365, spreadsheets, documents, presentations, Outlook, OneDrive, Gmail, Slack, Zoom, Teams, Discord, LinkedIn, Twitter/X, YouTube

Market Positioning

CloudBot enters a crowded field of AI automation tools but distinguishes itself through its approach to computer interaction. While competitors like UIPath focus on RPA for specific workflows, and chatbots like ChatGPT handle text generation, CloudBot aims to be a general-purpose digital worker that can handle any computer-based task.

The company's strategy of having users bring their own API keys reduces friction around AI costs while positioning CloudBot as infrastructure rather than a complete AI service. This model could appeal to enterprises already invested in specific AI providers or those wanting control over their AI spending.

The Open Source Connection

By building on OpenClaw, CloudBot taps into an active open-source community while contributing back enhancements for cloud deployment. This approach provides transparency around the core technology while allowing the company to focus on enterprise features like security, scalability, and managed infrastructure.

Early Access and Launch

The service is currently available for early access, with users able to launch their first AI worker in minutes without coding or complex setup. The company emphasizes the "watch it work" experience — users can observe the AI controlling the virtual desktop in real-time, providing transparency and trust in the automation process.

CloudBot represents an evolution in AI agents from conversational tools to actual digital workers. Whether this approach gains traction depends on execution quality, pricing competitiveness, and whether businesses are ready to entrust real work to autonomous computer operators. The technology is here; the question is whether the market is ready for AI employees that don't just advise but actually do the work.