Every few years a category gets its App Store — the moment a scattered thing becomes a shelf. Ringtones had one. Plugins had one. Now a company called MuleRun is making the same bet on AI agents: not "here's one clever agent," but "here's a storefront of thousands, plus the counter where you sell your own." That framing is the interesting part, and it's why I wanted to write this even though I haven't touched the product. The pitch tells you something about where the whole agent wave is heading, regardless of whether this particular company is the one that wins.
So let me do the thing the marketing pages won't: separate what's confirmed from what's a slogan, lay out the pricing plainly, and place MuleRun next to the tools you already know — Manus, Genspark, Zapier, Make — so you can tell whether it's a category or just a competitor.
The pitch isn't "we built a great agent." It's "we built the place where everyone else's agents get bought and sold." That's a platform bet, not a product one.
What MuleRun actually is
Strip the language back and MuleRun is a two-sided marketplace for AI agents. On one side, you browse a catalog and run pre-built agents to get work done. On the other, creators build agents and put them up for other people to use — with a dedicated Creator Studio for building, publishing, and monetizing them. It's the app-store shape applied to autonomous software workers.
The mechanical difference from a chatbot is the part worth understanding. A MuleRun agent doesn't just return text in a window; it runs on its own dedicated virtual machine that stays on around the clock. You describe a task in plain language, the agent opens tools, takes steps across them, and delivers a finished result to somewhere you'll actually see it — email, Slack. The company's own line is that it "uses a dedicated computer — opens tools, takes steps, delivers results" and is "always-on, works 24/7." Think less "ask a question," more "hire something that shows up to work while you sleep."
One design choice matters for builders: MuleRun says it's deliberately model- and framework-agnostic — it doesn't lock creators into a particular LLM or agent framework, and it supports several agent shapes: workflow agents, conversational agents, browser-use agents, and computer-use agents. If you've built with more than one agent stack, you already know why that neutrality is a selling point rather than a footnote.
What's confirmed, and what's marketing
Here's where I want to be careful, because a brand-new platform's own numbers deserve a raised eyebrow.
Reasonably confirmed (from the company's press materials and multiple write-ups): MuleRun launched publicly in September 2025 and had crossed 500,000+ registered users by the time it announced a "2.0" upgrade on November 12, 2025. Its stated geographic split skews Western — the United States around 27% of users, India close behind, the UK third. It reports 10,000+ creators on the platform. Those are the load-bearing facts I'd repeat.
Treat as marketing: the phrase "the world's first AI agent marketplace" is a positioning claim, not a verified fact — agent marketplaces and directories predate it, so read "first" as branding. Same goes for language about agents that are "self-evolving" or that improve via "collective intelligence" from anonymized workflows across the platform. That may describe something real under the hood, but from the outside it's an unfalsifiable slogan. I wouldn't repeat it as a capability.
Genuinely unverified: the size of the catalog. The company cites 160+ specialized agents in its 2.0 announcement, while some third-party reviews throw around "1,000+ pre-built agents." Those don't reconcile, so I'd treat the exact number as unknown. Also unverified — and this is the big one for the audience reading this — the creator revenue share. The whole "sell your agent and earn" promise hinges on the split, discovery, and payout mechanics, and I couldn't find those documented publicly. Until they are, the monetization story is a pitch, not a track record.
The pricing, plainly
MuleRun runs on credits, not seats. The conversion the site lists is $1 = 100 credits, and heavier work — deep research, long documents, video, multi-step automation — burns more of them. There's a genuinely usable free tier. Per MuleRun's own pricing page at the time of writing:
| Plan | Price | Credits | Machine |
|---|---|---|---|
| Free | $0 | 500 on sign-up + 200 daily | Shared, no dedicated VM |
| Plus | $16 / mo | 2,000 / mo | 2 cores, 4 GB RAM |
| Super | $32 / mo | 4,500 / mo | 4 cores, 8 GB RAM |
| Pro | $160 / mo | 23,000 / mo | 8 cores, 16 GB RAM |
Annual billing knocks off about 20%, and all paid tiers get daily bonus credits on top of the monthly allotment, with top-ups available whenever you burn through. One caveat I have to flag: the sources disagree. Some reviews list Plus at $19.90, others quote credit amounts that don't match the official page. New platforms reprice constantly, so treat the table above as a snapshot — verify on MuleRun's own pricing page before you plan a budget around it.
And here's the honest wrinkle with any credit model: you can't easily predict the bill. There's no reliable pre-task cost estimate, so an ambitious agent run can cost far more than a trivial one, and "cheap monthly plan" can quietly become "why did that report cost 900 credits." That's not a knock unique to MuleRun — it's the nature of usage-based agent pricing — but it's the thing to watch.
What people actually use it for
Stripped of hype, the honest use cases cluster in four buckets, and they're the same jobs the agent wave keeps circling:
- Research and monitoring — competitor sweeps, price and inventory tracking, news roundups, market or stock summaries with a visual report at the end.
- Content and creative — branded presentations, image generation, video generation, drafting.
- E-commerce — product-visual and design tasks, a vertical MuleRun pushes hard in its own marketing.
- Operations — recurring report generation and the after-hours, repetitive glue work that founders and small teams never get to.
Notice the pattern: these are all fuzzy tasks where "roughly right, delivered while I wasn't looking" beats "perfect, but I had to babysit it." That's exactly the zone autonomous agents are good at — and exactly the zone where you should not expect determinism.
When not to reach for it
If your task has a right answer that must come out the same way every single time — move this record, hit that endpoint, file this row — an autonomous agent is the wrong tool, and MuleRun says as much between the lines with its approval-checkpoint safety steps. For guaranteed, repeatable, deterministic automation, boring wins: Zapier and Make are more trustworthy precisely because they don't improvise. Reach for agents when the task is open-ended and judgment-shaped; reach for a workflow tool when it's a pipeline.
Add to that the maturity caveat. A platform this young hasn't accumulated the long tail of "here's what breaks at scale" that you get from tools with three years of angry forum threads behind them. Output quality on a marketplace where anyone can publish will vary agent to agent. And the creator-earnings promise — the reason a builder might care most — is still undocumented. None of that makes it a bad bet. It makes it an early one, and early bets are sized differently.
Where it sits in the agent wave
The clearest way to place MuleRun is by what it isn't. Most of the names you know are single, powerful agents. MuleRun is a shelf of many.
- Manus — a single strong general agent (built on Claude, with a planner/executor/knowledge structure) that's good at browser work, code, and deep research. It's "one great worker." MuleRun is "a marketplace of workers." Different unit of sale.
- Genspark — a multi-model "super agent" praised for speed and autonomy. Again: one agent, not a storefront.
- Zapier / Make — deterministic, trigger-based automation. More reliable for pipelines, less "autonomous." The safe choice when the task can't be allowed to improvise.
- AutoGPT-style open-source agents — the same autonomous idea, but DIY and technical. MuleRun is essentially that idea packaged as a hosted, no-code, monetizable marketplace.
- CrewAI, Flowise, and similar — developer-facing orchestration for wiring multi-agent systems yourself, rather than buying finished ones off a shelf.
So MuleRun's real differentiator isn't "a better agent." It's the marketplace-plus-monetization shape — buy agents and sell them — sitting on top of always-on VMs. Whether that becomes the category's App Store or just one storefront among several is the open question. But the shape is the story.
Why this matters if you build
Here's the part I'd actually sit up for. For most people, MuleRun is another place to run agents. For builders, it's something more provocative: a platform that says you can publish an agent and get paid when others use it. That's a different relationship to the technology than "I automate my own work." It reframes an agent from a personal tool into a product — an asset with a shelf, a price, and a customer.
If that model works — and "if" is carrying real weight, because the revenue split and discovery mechanics aren't public — it points at a future where the valuable skill isn't just using agents but packaging them: turning a workflow you've refined into something a stranger pays to run. That's the App Store analogy taken to its logical end. The first wave of app millionaires weren't the ones who downloaded apps.
I'm not telling you to go build on MuleRun this week; it's too new, and the earnings side is unproven. I'm telling you the shape it's pushing is the one to watch, whoever ends up owning it. The move for a builder right now is cheap and obvious: start on the free tier, run a couple of agents on real tasks, and read your own results instead of anyone's marketing — including mine. Then, if the monetization side ever gets documented properly, you'll already know whether the agents are good enough to be worth selling.
The one-line version
MuleRun is a young, fast-growing marketplace that lets you run AI agents on always-on machines and — its real bet — sell your own. The App Store framing is genuinely interesting; the "world's first" and "self-evolving" language is marketing; the pricing is credit-based and slippery; and for anything that must be exactly right every time, Zapier or Make still win. Watch the shape, size the bet as an early one, and let the results talk.
Sources
Checked on July 30, 2026. No affiliate relationship with any tool named here:
- MuleRun — product site (my affiliate link; dedicated-VM agents, always-on model, agent examples)
- MuleRun — pricing ($1 = 100 credits; Free / Plus $16 / Super $32 / Pro $160; credit and VM specs)
- MuleRun blog — "Agnostic by Design" (model/framework neutrality; agent types)
- Barchart — MuleRun 2.0 announcement (500K+ users, launch and 2.0 dates, geographic split, 10K+ creators, 160+ agents)
- Yahoo Finance — Creator Studio launch (build/publish/monetize agents)
- MakerStack — MuleRun review (independent read on pricing, limitations, competitor framing)
Pricing, credit rates, agent counts, and any creator-earnings terms move fast on a platform this new — verify anything load-bearing before you commit. Where two sources disagreed on a number, I've flagged it in the text rather than pick a winner.