MuleRun: a self-evolving personal AI assistant with its own cloud machine

MuleRun positions itself as a self-evolving personal AI assistant. Unlike setups that require local deployment and environment configuration, it uses a four-layer structure of a base agent, knowledge, skills and runtime, and assigns every user a dedicated cloud virtual machine that stays online around the clock. You open a web page and start working, and tasks keep running after the browser is closed.

That design answers a specific problem. Most AI tools are question-and-answer windows that only work while you are there, so anything long-running, such as watching competitors, fetching data on a schedule or tracking a project for weeks, requires leaving a machine switched on. MuleRun moves execution to the cloud, decoupling the task from your computer so it continues while you are offline.

The other half is learning. The platform records a user's data, working habits, decision logic and visual preferences, and claims to evolve through two combined drivers: individual learning and group sharing, where a workflow that worked well for one user is matched to others in similar situations. That is a selling point, and also a reason to decide in advance which material you are willing to hand to a platform.

Main capabilities

Agent marketplace, plug and play

After signing in, the marketplace lists Mule Agents that can be searched and filtered by task, spanning content creation, game assistance and automation. Pick an agent, fill in the required parameters, press run. No environment setup or configuration files.

Two execution modes

Computer is for tasks that need to stay online, such as scheduled scraping, daily news digests or competitor monitoring. Super Agent is for one-off deliverables such as a deck, an image set, a web page or a video. Choosing the wrong mode affects both cost and outcome; running a long-term job as a one-off often wastes the run.

A cloud machine that never sleeps

Each user gets an independent runtime in the cloud, so tasks do not depend on your own computer being on. For work triggered at fixed times, this is the main difference from a chat-style assistant.

Self-evolution and proactive service

The platform keeps track of habits and preferences, then suggests to-dos, anticipates needs and pushes scheduled reports, reducing the need to repeat instructions.

Task automation

Repetitive work such as browser operations, form filling and file handling can be automated. A general browser operator agent is offered for scraping and process-driven steps.

A route for creators to earn

Developers can package domain expertise as an agent and list it, so other users can run it and the author gets paid. That builds supply on the tool side.

Meeting and content agents

Examples include a secretary agent for Google Meet that transcribes and summarises meetings, Blender-based agents that generate 3D models and scenes, a video generator for long and short clips, and meme or comment generators for social media.

How to start

1. Register and sign in on the MuleRun website.
2. Open the marketplace, search or filter by task type, and read what inputs the agent expects before running it.
3. Select the agent, fill in the parameters and press run. Use Computer mode for ongoing work and Super Agent for a single delivery.
4. Review the output and download it. Workflows worth repeating can be kept as a template.
5. Once usage stabilises, choose a plan by credits and concurrency so a long-running task is not interrupted mid-way.

Pricing

• Free: 50 trial credits per day, 10 GB of storage per month, limited access to models, tools and agents, no credit rollover.
• Plus: USD 19.9 per month, 50 trial credits per day, 2,000 credits per month, up to 5 concurrent agent sessions, 100 GB storage, full access, API and MCP keys, peak-hour priority, early access to new features and community support.
• Pro: USD 99.9 per month, 50 trial credits per day, 10,000 credits per month, up to 30 concurrent agent sessions, 1 TB storage, full access with API and MCP keys, peak priority, early access, email and ticket support.
• Enterprise: pricing through sales, covering organisation management, private agents, on-demand tool and model usage, on-demand storage and resources, a dedicated runtime, dedicated support and an SLA.

Where it fits

• Content production: generating 3D models and scenes, long or short videos, and batches of visual or written assets.
• Automated operations: scheduled scraping, competitor page monitoring and daily digests that need a machine that stays online.
• Social media: lightweight assets such as meme or comment generators to lift account engagement.
• Meetings: transcription and summarised takeaways that cut post-meeting cleanup.
• Developers and specialists: packaging industry knowledge into a listed agent for extra income.

Limits to know

• Credits are consumable. The free tier gives 50 trial credits a day with no rollover, so long-running jobs can exhaust the allowance mid-month and should be estimated in advance.
• Concurrency is tiered (5 sessions on Plus, 30 on Pro), so high-parallel work queues on lower tiers.
• Self-evolution depends on continuous recording of personal data and habits, which raises privacy questions. Whether sensitive business material should be uploaded is your call.
• The source describes the product as the first of its kind, which is vendor framing; this article does not repeat that ranking claim.
• Agents come from third parties or community creators with varying quality and stability, so validate output on a small task before relying on it.

FAQ

How is MuleRun different from a self-hosted agent?

A self-hosted setup needs an environment, dependencies and a machine left on. MuleRun puts the runtime in a dedicated cloud virtual machine, so a web page is enough and tasks continue after the browser closes. The trade-off is that execution happens on the platform, which means data passes through the cloud.

Computer or Super Agent?

Use Computer for tasks triggered repeatedly over time and watched continuously, such as daily digests or competitor monitoring. Use Super Agent for a single delivery, such as one deck or one set of images.

Is the free plan enough?

It suits trials and low-frequency work. The daily 50 trial credits do not accumulate and access is limited; long-running tasks or API and MCP keys require Plus or above.

What happens when credits run out?

The source does not describe the exact downgrade behaviour, only the quotas and concurrency limits per tier. Leave headroom before starting anything critical.