MuleRun vs Relevance AI
A side-by-side look at MuleRun and Relevance AI — pricing, features and where each one wins. Both are reviewed independently on Curata AI.
| MuleRun | Relevance AI | |
|---|---|---|
| Summary | Marketplace of 1,000+ ready-made AI agents, each running on your own always-on cloud VM instead of your computer. | Enterprise platform for building, orchestrating and governing an 'AI workforce' of autonomous agents across sales, support, marketing and ops. |
| Pricing | Freemium | Freemium |
| Category | AI Agents | AI Agents |
| Platforms | Web, iOS | Web, API |
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Which one should you choose?
Relevance AI
Best for: Sales, CS, marketing and ops teams that want multi-model, governed AI agents rather than a single-LLM chatbot.
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Read the full MuleRun review
MuleRun is an AI agent marketplace: instead of building agents yourself, you pick from 1,000+ ready-made agents built by others and run them on your own personal cloud VM that stays on 24/7. Each paid account gets a dedicated virtual machine — from 2 cores and 4GB on the entry plan up to 8 cores and 16GB — so agents can browse, run tasks in parallel and keep working in the background without tying up your own machine. Work is paid for with credits ($1 = 100 credits) on top of a monthly plan that sets your VM size, monthly credit allowance, page-deployment limit and storage. The free tier gives signup and daily bonus credits but no monthly credits and no VM; paid plans (Plus, Super, Pro) add the personal VM, monthly credits and higher limits. MuleRun is provided by Intelligent Cloud Computing (Singapore) Private Limited. It is a new platform, and because the 1,000+ agents are built by third parties, the quality and reliability of any individual agent have not been independently verified.
Read the full Relevance AI review
Relevance AI markets itself as 'the home of the AI Workforce' — a platform for building autonomous AI agents that handle work across sales, customer success, marketing, customer support, operations, HR and research, rather than hiring additional headcount. A no-code/low-code builder creates specialist agents, multi-model routing sends each task to the most cost-effective LLM (Claude, GPT, Gemini and others), and orchestration coordinates multiple agents into a team for complex workflows. Production tooling includes an evaluation framework that samples live runs and tracks pass rates, real-time tracing, audit logs, human-in-the-loop approvals and cost visibility, plus a shared context layer for consistent tone across agents. It connects to 2,000+ integrations including Salesforce, HubSpot, Gmail, Slack, Databricks and Snowflake. A September 2025 pricing overhaul replaced a single credit system with two meters — Actions and Vendor Credits — across a Free plan (200 Actions/month), a paid Pro tier, a paid Team tier and a custom Enterprise tier. Notable customers include Canva, KPMG, Databricks, Autodesk, Confluent and Freshworks.