MuleRun

MuleRun gives users always‑on AI agents that live on dedicated cloud computers and complete multi‑step digital work instead of just replying in chat. It combines a persistent agent runtime with a large marketplace of prebuilt agents for research, content creation, data analysis, and workflow automation, aimed at individuals and business teams that want finished results waiting for them rather than prompts to rewrite.

• Always‑on dedicated runtime: Each agent runs on its own persistent cloud computer that stays online 24/7, opens tools, interacts with software, and finishes tasks even when you are offline.
• Self‑improving collective intelligence: Agents benefit from anonymized workflow patterns, best practices, and successful runs across the network, so over time they tend to make better decisions and complete similar tasks more efficiently.
• Proactive monitoring and automation: Configure agents to watch website uptime, data pipelines, pricing, inventory, or campaigns, then not only alert but also take predefined follow‑up actions when something changes.
• Agent marketplace and Creator Studio: A large catalog of ready‑to‑use agents plus a Creator Studio where builders can design, test, and monetize their own agents using options such as n8n or API integrations.
• Multi‑skill agents and templates: Featured workflows include creating branded slide decks, running live US stock analysis with charts, generating short videos, compiling news or sports reports, and writing formatted Word documents.
• Persistent Windows and GPU‑based runtimes: Agents run on dedicated VMs with the ability to handle graphically intensive or long‑running tasks that would otherwise tie up local machines.

1. Create an account and choose a plan: Sign up at mulerun.com and select a tier that matches your credit requirements. The platform provides welcome credits to get started.
2. Browse the marketplace or open Creator Studio: Pick a prebuilt agent template for your task (e.g., “Stock Analysis Report”) or, if you want to build something custom, access the Creator Studio.
3. Describe the task in natural language: Write a clear goal—like “Monitor five competitor homepages every morning, screenshot changes, and compile a PDF summary”—and attach any necessary parameters or schedules.
4. Configure permissions and review checkpoints: Set which tools and websites the agent can access, and optionally add human‑approval steps for sensitive actions such as publishing or sending emails.
5. Let the agent run on its dedicated VM: The task executes on MuleRun’s cloud infrastructure even when your computer is off. You can track progress and view logs in the dashboard.
6. Receive the finished asset and iterate: The agent returns the completed PPT, Word doc, HTML report, or alert notification. Review the output, make adjustments, or reuse the workflow for the next cycle.

MuleRun offers a free tier and three paid subscriptions, each granting a personal cloud VM, daily credit refreshes, and storage allocations. Credits are consumed by agent tasks, while storage and page deployments scale with the plan. All paid plans come with a sign‑up bonus, daily credits, and referral rewards.

Disclaimer: Pricing may not be up to date. For the most accurate details, refer to the official MuleRun website.

• Web application: The primary interface for deploying, monitoring, and managing agents — accessible from any modern browser.
• Cloud‑based persistent runtime: Agents run on dedicated VMs (Windows and GPU‑enabled) hosted by MuleRun, with no local installation required.
• Creator Studio with API integrations: Builders can connect external tools and services (n8n, custom APIs) to create and monetize agents in the marketplace.
• No dedicated mobile app at this time: The dashboard is responsive, but heavy agent configuration is designed for desktop use.

• Start with a marketplace template instead of building from scratch: Templates already encode best practices, saving you time and letting the collective intelligence layer improve them further.
• Use a checkpoint for high‑impact workflows: Always enable manual approval steps when an agent can send emails, publish content, or modify production data.
• Write task prompts as if briefing a human: Include the desired format (e.g., “5‑slide deck with company logos”), deadline context, and any guardrails the agent should respect.
• Schedule long‑running jobs for off‑hours: Heavy analysis, bulk reporting, and video generation work best when they can use dedicated runtime overnight without competing for your local resources.
• Monitor UI‑dependent automations regularly: Agents that click through browser interfaces can break when layouts change; schedule a monthly maintenance pass for critical flows.
• Leverage referral rewards to extend credits: The program gives extra daily and one‑time credits, making it easier to test advanced workflows without upgrading immediately.

• E‑commerce managers and online retailers: Automate competitive research, merchandising reports, and promotional content creation.
• Digital marketing agencies and growth teams: Let agents produce client‑ready campaign decks, content drafts, and performance reports across accounts.
• Data analysts and finance professionals: Run recurring data studies and investment summaries that land as finished HTML, slides, or Word files.
• Founders, solopreneurs, and knowledge workers: Delegate research, lead lists, meeting follow‑ups, and documentation to persistent agents.
• Indie game creators and creative technologists: Prototype story‑driven experiences or interactive content loops using agents that continuously generate new narrative branches.
• Consultants and freelancers: Package white‑label research or monitoring agents that work silently behind the scenes for client engagements.