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.

MuleRunRelevance AI
SummaryMarketplace 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.
PricingFreemiumFreemium
CategoryAI AgentsAI Agents
PlatformsWeb, iOSWeb, API
Key features
  • 1,000+ ready-made agents
  • Personal always-on cloud VM
  • Unlimited parallel tasks
  • Credit-based usage ($1 = 100 credits)
  • Page deployment with custom domain
  • 10GB-1TB Drive storage
  • Connect local browsers
  • Top-up credits anytime
  • No-code/low-code agent builder
  • Multi-model routing (Claude, GPT, Gemini and others) by cost/performance
  • Multi-agent orchestration into coordinated workforces
  • Evaluation framework tracking live pass rates and drift
  • Real-time tracing, audit logs, human-in-the-loop approvals and cost visibility
  • 2,000+ integrations (Salesforce, HubSpot, Gmail, Slack, Databricks, Snowflake)
Pros
  • A marketplace of 1,000+ prebuilt agents means you can run useful automations without building or coding an agent yourself
  • Every paid plan includes a dedicated always-on cloud VM, so agents keep working 24/7 without using your own computer
  • Unlimited parallel tasks and page deployment with a custom domain from the entry Plus plan
  • Low entry price — Plus starts at $16/month billed yearly ($20 monthly) — makes an always-on agent VM accessible
  • Transparent credit conversion ($1 = 100 credits) with top-ups and clear per-plan VM specs
  • No-code/low-code builder with multi-model routing (Claude, GPT, Gemini) instead of vendor lock-in
  • Genuine free tier (200 Actions/month) — rare among enterprise-grade agent platforms
  • Real production governance: tracing, audit logs, human-in-the-loop approval and cost visibility
  • 2,000+ integrations cover most existing sales, CS and ops stacks
  • Enterprise trust signals — customers include Canva, KPMG, Databricks, Autodesk and Confluent
Cons
  • The prices shown default to the annual (-20%) rate; month-to-month is meaningfully higher ($20 versus $16 on Plus, $200 versus $160 on Pro), which is easy to under-budget
  • The free tier has no monthly credits and no VM, so the always-on capability that defines MuleRun requires a paid plan
  • Agent quality is uneven by design — the 1,000+ agents are built by third parties, so reliability and output vary from agent to agent
  • Always-on agents consume credits continuously, making heavy 24/7 usage costly and hard to predict on top of the base plan
  • New platform (operated by Intelligent Cloud Computing (Singapore) Private Limited) with little independent verification of agent quality, uptime or support responsiveness
  • September 2025 pricing overhaul split billing into Actions + Vendor Credits, which reviewers say makes real cost harder to predict at scale
  • Action overages and retry billing have caught some teams off guard on their first high-volume billing cycle
  • Shared workspace model makes credential isolation difficult for agencies managing multiple client environments
  • Some users report slow or impersonal customer support response times
  • Real learning curve to build and maintain reliable multi-step agents

Which one should you choose?

MuleRun

Best for: No-code users who want to run prebuilt agents 24/7.

Relevance AI

Best for: Sales, CS, marketing and ops teams that want multi-model, governed AI agents rather than a single-LLM chatbot.

Disclosure: This page contains affiliate links. If you sign up through them, CurataHub may earn a commission at no additional cost to you. We only recommend products we genuinely believe are valuable.

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.