MobileRun vs Runner

MobileRun and Runner are both workflow automation tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

MobileRun

The platform pairs an LLM agent — Claude, Hermes, or their own Mobilerun VA — with a persistent real device that has a real SIM, a real residential IP, and a real number receiving SMS. The agent reads screen state via accessibility tree plus vision, then taps, swipes, and types end-to-end. That identity stack is why apps like Instagram, WhatsApp, and Stripe behave the way they do in production rather than flagging the session. Fleet tooling handles parallel runs across up to 10,000 devices. The ceiling appears when workflows require branch logic the natural-language task description cannot express — at that point you are writing SDK code.

Runner

Runner connects to 50+ apps and executes tasks across them — pulling context from email, calendar, chat, and cloud files, then acting on what it finds rather than handing the work back to you. The built-in Chrome browser fires up in the background to unblock searches without interrupting what you're doing, and a permission layer lets you sign off on each action until you're comfortable letting it run faster. Memory accumulates across sessions, so the tool builds a model of how you work over time. The ceiling appears when you need custom conditional logic or integrations outside the supported app list — there's no API to extend it yourself, and no self-hosted option if your data governance policy requires it.

Attribute	MobileRun	Runner
Pricing	Paid	Paid
Price	$5/month	$50/month
Free trial	No	7 days
Open source	Yes	No
Has API	Yes	No
Self-hosted option	Yes	No
Platforms	Android, iOS	Desktop app with web connections
Pros	Real SIM and residential IP on every device, so apps that fingerprint carrier or network identity do not flag or block the session — the failure mode that kills emulator-based automation at login. Persistent device sessions that survive across runs and regions, which means creator accounts stay authenticated and WhatsApp threads remain open without re-auth loops eating agent credits. LLM-agnostic design supporting Claude, Hermes, OpenClaw, and the vendor's own Mobilerun VA, so swapping models when costs shift or a new release outperforms the current one is a config change, not a rewrite. MIT-licensed local framework with a one-config-change path to managed cloud, so a team can validate the workflow on their own hardware before committing to fleet spend. Structured JSON output from native app screen state, so mobile data pipelines can feed typed records into downstream systems without building a separate parsing layer.	Executes across 50+ connected apps in a single session, so you stop context-switching between tools to assemble the information a task actually requires. Built-in browser automation runs in the background, which means tasks that hit a dead end in a direct integration — venue research, public data lookups — resolve without handing the work back to you. Permission controls let you stay in the loop on every action before Runner takes it, so early adoption doesn't require trusting a black box with your calendar or CRM. Session memory accumulates preferences, contacts, and tool patterns over time, so recurring tasks like weekly exec handoffs stop requiring the same setup instructions each time. Lead enrichment and follow-up drafting happen at the moment a form submission arrives, which means inbound leads don't sit cold while a rep manually pulls context before the first reply.
Cons	Natural-language task strings handle linear flows cleanly; branching logic based on what the previous screen returned requires SDK code. Teams running conditional mobile RPA at scale end up maintaining both a task-description layer and a code layer — two systems that can drift. Agent credit allocations on entry-level plans exhaust quickly under production-volume runs. Teams that hit this ceiling and need dedicated hardware at scale move to the enterprise tier or evaluate competitors that offer unlimited execution models tied to device slots rather than per-action credits. iOS device availability depends on plan tier and the vendor's fleet provisioning — teams that need guaranteed iOS hardware across specific regions cannot self-provision and must coordinate with the vendor, which introduces lead time that Android-first workflows on the virtual tier do not face.	No API and no self-hosted option mean any integration outside the 50-app catalog is a dead end — teams whose stack includes internal tools or niche SaaS products hit this wall immediately and route those workflows elsewhere. Complex conditional logic — branch on what the last step returned, handle exceptions differently by account type — has no visual or scriptable layer to build it on. Teams with that requirement move to a programmable automation platform and maintain Runner only for the simpler personal-productivity layer. The permission model, while useful early on, adds friction at volume. High-frequency tasks like real-time lead routing require reducing those checkpoints, which shifts risk to users who may not fully understand what Runner will do when unsupervised.

Bottom line

MobileRun is open source; only MobileRun exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between MobileRun and Runner?

MobileRun is Paid and open source, while Runner is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is MobileRun better than Runner?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.