Mobilerun vs Temporal AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionMobilerunTemporal AI
PricingFree (open-source), cloud beta TBDFree (open-source), cloud usage-based billing since June 2026
Primary Use CaseMobile device automation via AI agentsReliable durable execution for AI workflows
LLM SupportGemini, OpenAI, Anthropic, DeepSeek, Qwen, Ollama, OpenRouterAny (orchestration layer, no LLM dependencies)
Device SupportAndroid 10+ (local), iOS (cloud only)Not applicable (workflow engine)
Key FeatureMulti-agent architecture (Task, Testing, Research)Durable execution with automatic state capture and recovery
Best ForMobile app testing and data extractionBuilding reliable, long-running agent workflows

Choose Mobilerun if your goal is to control mobile devices with natural language for testing or data extraction; choose Temporal AI if you need a robust, durable orchestration layer for AI agents that must survive failures. They are complementary: Temporal can orchestrate Mobilerun agents for reliability.

Mobilerun
Mobilerun

Open-source mobile automation framework that drives real iOS and Android devices from plain-English goals, plus a managed cloud phone fleet.

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Temporal AI
Temporal AI

Durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned sessions.

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Pricing
Freemium
Freemium
Plans
$0/mo
$20/mo
$99/mo
$299/mo
Custom
$64/mo billed annually ($768/yr), or $80/mo monthly
$160/mo billed annually ($1,920/yr), or $200/mo monthly
$4/mo billed annually ($48/yr), or $5/mo monthly
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
28 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLIAPIWebPlugin
WebAPI
Categories
🖱️ Browser & Computer-Use Agents🧪 Software Testing & QA
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Natural-language goals drive real iOS and Android devices
LLM-agnostic provider swapping in one line (Gemini, OpenAI, Anthropic, xAI, DeepSeek, MiniMax, Z.AI, Qwen, Ollama,
Vision mode: screenshot-based fallback when the accessibility tree is insufficient
Reasoning mode: multi-step chain-of-thought planning about UI state before acting
Structured output: extract typed data with Pydantic models
Custom tool registration to extend the agent beyond built-in actions
App cards with pre-built interaction patterns for popular apps
Task Agents, Testing Agents and Research Agents archetypes
Local device control over USB/ADB: pip install, mobilerun setup, mobilerun run
MIT-licensed Python framework, Python 3.11-3.13, Android 10+
Managed cloud fleet with persistent device identity and residential IPs
iOS cloud devices with eSIM and SMS; receive on every plan, send on Enterprise
MCP server for Claude Code, Cursor and VS Code
Public status page with 90-day uptime history for Tasks API, Devices API, cloud and VA
iOSWorld benchmark: 98.34% mean official score across 133 tasks; 116 AndroidWorld task trajectories
Durable execution captures Workflow state at every step with no checkpointing or recovery code
Native SDKs for Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust
Activities retry automatically with backoff, four timeout classes, and heartbeating
Signals, Queries, and Updates read and mutate running Workflows mid-flight
Workflow Streams for real-time interactivity with running executions
Durable AI agents via OpenAI Agents SDK and Google ADK running LLM and tool calls as Activities
Serverless Workers host durable AI agents on Amazon Bedrock AgentCore
Serverless Workers on AWS Lambda (public preview) and GCP Cloud Run (pre-release)
Standalone Activities as a durable job-queue pattern, GA across six SDKs (2026-09-15)
Native Task Queue priority and fair distribution without a custom queueing layer
Durable Timers sleep for months; cron Schedules support backfill and Continue-As-New
Saga pattern via compensating transactions that read like try/catch
Worker Versioning pins Workflows to a version so deploys don't corrupt in-flight runs
Cloud UI Strict Session Mode enforces 15-min inactivity timeout and 12-hour max session (GA 2026-09-18)
Replay tests validate against real histories; time-skipping tests fast-forward long timers in CI
Integrations
OpenRouter
Gemini
OpenAI
Anthropic
Ollama
OpenClaw
MCP Server
LangChain
CrewAI
OpenAI Agents SDK
n8n
Zapier
Make
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure

What real users say: Mobilerun vs Temporal AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Mobilerun

24 mentions across 3 sources · 40% positive — mixed (averaged across 3 sources)

Hacker News, YouTube, GitHub

What users praise

  • • LLM-agnostic: swap between Gemini, OpenAI, Anthropic, etc. in one line
  • • Vision mode with screenshot fallback helps when accessibility tree fails
  • • Multi-agent architecture (Task, Testing, Research) splits work efficiently
  • • Open-source MIT license with active GitHub (9,100+ stars)

What frustrates them

  • • In practice, only opens apps, struggles with taps and clicks
  • • Task termination bug — agent restarts planning instead of stopping
  • • Syntax errors (unterminated string) crash runs
  • • Official sample scripts fail for some LLM models (e.g., qwq)

Researched Aug 27, 2026

Temporal AI

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Temporal AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Mobile QA Engineer
    Pick: Mobilerun

    Write natural language test scripts for Android/iOS apps and run them on real devices.

  • AI Agent Developer
    Pick: Temporal AI

    Build reliable, long-running agents that survive crashes and need stateful orchestration.

  • Data Extraction Specialist
    Pick: Mobilerun

    Extract data from mobile apps without public APIs using vision and accessibility tree.

  • Microservices Orchestrator
    Pick: Temporal AI

    Implement Saga compensation and manage multi-step workflows with automatic retries.

  • Team Combining Both
    Pick: Temporal AI

    Use Temporal to orchestrate Mobilerun agents for fault-tolerant mobile automation.

Frequently Asked Questions

Mobilerun vs Temporal AI: which should you choose?

Choose Mobilerun if your goal is to control mobile devices with natural language for testing or data extraction; choose Temporal AI if you need a robust, durable orchestration layer for AI agents that must survive failures. They are complementary: Temporal can orchestrate Mobilerun agents for reliability.

Can Mobilerun work without internet?

Yes, when using local LLMs via Ollama and USB-connected Android devices.

Does Temporal support iOS automation?

No, Temporal is not a device automation tool; it orchestrates workflows, not mobile interactions.

Which LLMs does Mobilerun support?

It is LLM-agnostic and supports Gemini, OpenAI, Anthropic, DeepSeek, Qwen, Ollama, and OpenRouter.

Does Temporal have a free tier?

Yes, Temporal Cloud offers a free tier with limited usage; self-hosted is fully free.

Can I use Mobilerun for iOS without cloud?

No, iOS support is cloud-only; Android can run locally via USB.

What are Temporal's new Serverless Workers?

Announced at Replay 2026 (news), they eliminate worker management for simpler deployment.

Does Mobilerun support multi-agent collaboration?

Yes, it has a multi-agent architecture with Task, Testing, and Research agents.

Is Temporal good for simple scheduled tasks?

No, it is overkill for cron jobs; simple schedulers are more appropriate.

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Last reviewed: July 3, 2026