MuleRun is a platform that covers finding, running, and publishing AI agents in one place. It lists agents across a wide range of fields — content creation, design, data analysis, research, education, and entertainment — and when you describe what you want in chat, it matches you with a suitable agent that carries out the work. It launched publicly in September 2025, and Creator Studio, aimed at agent builders, followed in December of the same year. The service is operated by MuleRun, based in China, and it also publishes an API and open source tooling.
Key Features
- A marketplace of agents: Many agents are published by category, so you can pick one that fits your goal and run it right away. There is no need to build prompts or workflows from scratch
- An always-on cloud execution environment: Agents run in a cloud environment rather than in your browser. Processing continues after you close the browser, which makes it practical to hand off long research runs or ongoing monitoring
- Multi-step task execution: The design goes beyond one-off answers — an agent opens tools, works through the steps, and delivers a finished result. Typical targets are document creation, data aggregation, and competitive research
- Publish and monetize agents through Creator Studio: You can register and publish your own agents, with billing and settlement handled by the platform. Support programs for creators are also available
- API and open source tools: Agents can be called externally through the API, and tooling is published under the openmule organization on GitHub
- Safety design with approval steps: High-impact actions can require user confirmation before they are carried out
Pricing
Pricing is credit-based. Each plan differs in the credits granted per month, the available storage, and the number of concurrent tasks. Credits convert at $1 = 100 credits.
| Plan | Monthly price | What’s included |
|---|---|---|
| Free | $0 | 200 bonus credits per day, 10 GB storage, 10 concurrent tasks, Discord support |
| Plus | $16 | 2,000 credits/month + 200 daily, 100 GB storage, unlimited parallel tasks |
| Super | $32 | 4,500 credits/month + 200 daily, 100 GB storage, unlimited parallel tasks |
| Pro | $160 | 23,000 credits/month + 200 daily, 1 TB storage, early access to new features |
| Team / Enterprise | Contact sales | Individual plans for teams and organizations |
Annual billing comes with a 20% discount, and new sign-ups receive a 500-credit bonus.
Pricing is as of August 2026. Check the official site for the latest information.
Pros & Cons
✅ Pros
- You can start simply by choosing a ready-made agent, with no knowledge of prompt design or workflow building required
- Because processing runs in the cloud, you can hand off long-running tasks and close the browser
- Even the free plan grants credits daily, so you can try things out before paying
- There is a clear path to publishing and monetizing your own agents
- An API is available, so agents can be called from existing systems and tools
⚠️ Cons
- With credit-based pricing, repeated heavy processing makes monthly costs hard to predict
- The quality of published agents varies by builder, so some trial and error is needed to find good ones
- The platform is still young, and features and available agents change quickly
- The interface and documentation are primarily in English, and information in other languages is limited
- Since the operator is based in China, handling sensitive data calls for a check against your organization’s own policies
Comparison with Similar Services
| Criteria | MuleRun | Manus | Genspark | GPT Store (OpenAI) |
|---|---|---|---|---|
| Positioning | Agent marketplace and execution platform | General-purpose autonomous AI agent | General-purpose agent plus a set of AI tools | A place to publish custom GPTs inside ChatGPT |
| How you use it | Pick an agent by purpose and run it | Hand over the request as-is | Hand over the request, or use individual tools | Chat with purpose-built custom GPTs |
| Execution environment | Always-on cloud environment | Cloud virtual environment | Cloud execution environment | Inside a ChatGPT conversation |
| Third-party publishing | Yes (Creator Studio) | Limited | Limited | Yes |
| Billing model | Credit-based (free tier available) | Credit-based (free tier available) | Credit-based (free tier available) | Follows your ChatGPT plan |
Who Is It For
- People interested in AI agents who would rather not start by building one themselves
- Those who want to hand off recurring work such as periodic research, report writing, or data aggregation
- Individuals and small teams looking to automate the groundwork for documents and content
- Developers looking for a place to publish and monetize their own agents
- Anyone who wants to try several agents side by side and see which fits their work
Summary
MuleRun leans fully into “choose an existing agent and use it” rather than “build your own agent.” Because processing completes on the cloud side, long-running tasks are easy to delegate, and the free plan is enough to get a feel for how it works. On the other hand, the unpredictability of credit-based costs and the uneven quality of published agents are worth understanding up front. A practical approach is to try a few agents within the free tier and consider a paid plan once you find ones you return to.