MoClaw: Unattended AI Automation
MoClaw's AI Cloud Computer Now Autonomously Manages Thousands of Daily Agent Tasks
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MoClaw, a personal AI cloud computer platform, is now executing thousands of scheduled tasks every day — with no human required to start them. PRNewswire reports the San Francisco company has crossed a 99% autonomous completion rate, meaning agents finish assigned jobs on their own nearly every single time.
The milestone marks a real shift in how AI tools work. Most AI assistants wait for you to ask a question. MoClaw's agents keep running in the cloud while you sleep, checking websites, pulling data, and delivering results to your inbox, Telegram, or Slack — without you touching a thing.
A Cloud Computer That Never Shuts Off
Traditional AI agents have a key weakness: they stop when you close your laptop. MoClaw fixes this with what it calls a "sandboxed cloud runtime" — essentially a full computer in the cloud that stays on 24/7. Each user gets their own persistent workspace with a browser, file storage, and memory that carries over between sessions.
That persistent memory is central to the pitch. Founder Richard said most agent products "show you a demo where one task works once," but MoClaw gives users "a computer in the cloud that remembers what it did yesterday," according to PRNewswire. The platform now serves over 11,000 monthly active users, a figure confirmed as of June 2, 2026, per EIN Presswire.
50 Skills, Zero API Keys Required for Most Tasks
Each MoClaw agent comes loaded with over 50 reusable skills. These include browser control, web research, form-filling, document creation, and code execution. The agent can navigate any website the way a human would — clicking, scrolling, and logging in — so it does not need a site to offer an API to work with it.
MoClaw also uses a BYOK model — short for "Bring Your Own Key." That means users pay AI providers like OpenAI or Anthropic directly for the underlying model. MoClaw then charges a flat $20 per month just for the infrastructure. This removes the "model markup" fees that many rival platforms quietly add on top, PRNewswire noted.
Saving 11 Hours a Week for Small Business Owners
Early users report saving an average of 11 hours of manual work per week. Tasks that had eaten into workdays — monitoring supplier portals, triaging emails, pulling research reports — now run on schedules set once and forgotten. Solopreneurs are among the biggest beneficiaries, using MoClaw to run workflows that previously required a part-time hire.
User reviews on Reddit highlight one quality that stands out: accuracy over speed. MoClaw agents reportedly noticed "weird gaps" in data — like conflicting deadlines — rather than guessing and moving on. That error-recovery logic makes it slower than some rivals, but reviewers say the tradeoff is worth it for recurring, high-stakes tasks.
Industry Tailwind: Gartner Says Agents Are Going Mainstream
MoClaw's growth is happening against a fast-moving backdrop. Gartner projects that 40% of enterprise applications will include task-specific AI agents by end of 2026, up from less than 5% in 2025. A PwC survey found that 79% of U.S. senior executives were already piloting AI agents before MoClaw hit its current scale.
The broader agent race is heating up. OpenAI hired Peter Steinberger — creator of the open-source agent framework OpenClaw — in February 2026 to lead its next-generation personal AI systems, according to Yahoo Finance CA. MoClaw positions itself as the accessible alternative: a "managed workspace" built for regular users, not just developers. The platform is available now at MoClaw's website.
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