Amux 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

DimensionAmuxTemporal AI
PricingFreemium: self-hosted free; managed tier pricing undisclosedFreemium: free tier limited actions; paid usage-based billing
Primary Use CaseMulti-agent orchestration & monitoring for coding agentsDurable execution for AI agents & microservices
Core ArchitectureSingle Python server using tmux sessions per agentSDK-based durable workflows with state capture
Key FeatureSelf-healing watchdog, kanban board, mobile PWAAutomatic retries, timeouts, and state persistence
Integration StyleIntegrates with Claude Code, Codex, Gemini CLIIntegrates with OpenAI Agents SDK, Google ADK, Slack
Best ForRunning many parallel coding agents from one dashboardReliable, long-running, failure-tolerant workflows

Choose Temporal AI if you need enterprise-grade durable execution with automatic retries and state persistence for AI agents or microservices – it's battle-tested at OpenAI and Replit. Pick Amux if you're a developer running many AI coding agents (Claude Code, Codex) and want a lightweight self-hosted dashboard with self-healing and mobile access. They solve different problems: reliability vs. parallelism.

Try AmuxTry Temporal AI
Amux
Amux

Open-source control plane for running 5–50 parallel AI coding agents from one dashboard and your phone.

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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
$20/mo
$200/yr ($16.67/mo billed annually)
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
30 views
7.5k views
Skill Level
Advanced
Advanced
API Available
Platforms
WebMobileCLIAPI
WebAPI
Categories
🛠️ Autonomous Coding Agents🕸️ Agent Frameworks & Orchestration
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Run 5 to 50 named coding agents in parallel from one dashboard
Kanban board with atomic task claiming via SQLite compare-and-swap
done requires evidence of what ran; verified requires a peer check
Self-healing watchdog: monitors context, auto-compacts, restarts, replays last message
Peek panel with live terminal output and a plan strip of next steps
Review dashboard with Trends view and fleet org chart grouped by theme
Origin-stamped agent-to-agent messaging — server records the true sender
Autonomous loops where agents schedule their own next wakeup
Cron-style schedules in plain words (daily at 9am, every 15m, weekly on Monday)
Groups/lanes sharing memory, environment, and gates across peers
Scoped settings cascading card to worker to group to global
Model switching on a running worker: Claude, Codex, Gemini, or local Ollama
REST API on every session for agent discovery, tasking, peeking, and claiming
Message ledger with fetchable ids for every prompt, reply, and delivery
Steering: type into any running session from dashboard or phone
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
Claude Code
Codex CLI
Gemini CLI
OpenCode
Ollama
GitHub
R2
tmux
SQLite
iMessage
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure

What real users say: Amux 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.

Amux

35 mentions across 4 sources · 61% positive — mixed (averaged across 4 sources)

Hacker News, App Store, GitHub, Lemmy

What users praise

  • • Self-healing watchdog auto-compacts context and restarts crashed sessions reliably.
  • • Manage agents from a mobile PWA or native iOS app anywhere.
  • • Single-file architecture (amux-server.py) makes deployment trivial.
  • • Kanban board with atomic task claiming via SQLite prevents collisions.

What frustrates them

  • • Auto-update feature downloads and runs code from GitHub—major security risk.
  • • APIs exposed on 0.0.0.0 without authentication allow remote file access.
  • • No CLI command to list registered sessions; dashboard required.
  • • Limited enterprise integrations and third-party plugin ecosystem.

Researched Jul 3, 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

  • Solo founder building AI agents
    Pick: Temporal AI

    Needs reliability: automatic retries and state capture prevent losing agent progress on crashes. Temporal's free tier covers initial usage.

  • Developer running 20+ Claude Code sessions
    Pick: Amux

    Amux's kanban board, self-healing, and mobile PWA let you monitor and orchestrate many coding agents from one dashboard. Lightweight and free to self-host.

  • Enterprise building financial transaction system
    Pick: Temporal AI

    Saga pattern, compensating transactions, and durability ensure data consistency in long-running processes. Enterprise integrations and usage-based billing scale.

  • Open-source enthusiast wanting agent control plane
    Pick: Amux

    Amux's single-file architecture is easy to hack and self-host. Free, with mobile access and no vendor lock-in.

  • Team building multimodal AI pipeline
    Pick: Temporal AI

    Workflow Streams, serverless workers, and Slack integration enable real-time human oversight across complex agent chains.

Frequently Asked Questions

Amux vs Temporal AI: which should you choose?

Choose Temporal AI if you need enterprise-grade durable execution with automatic retries and state persistence for AI agents or microservices – it's battle-tested at OpenAI and Replit. Pick Amux if you're a developer running many AI coding agents (Claude Code, Codex) and want a lightweight self-hosted dashboard with self-healing and mobile access. They solve different problems: reliability vs. parallelism.

What is the main difference between Temporal AI and Amux?

Temporal focuses on durable execution: guaranteed state persistence and retries for any workflow. Amux is a lightweight control plane for managing many parallel coding agents (Claude Code, Codex) from a dashboard. They solve different problems: reliability vs. orchestration.

Can Amux handle long-running, failure-prone workflows?

Amux has self-healing watchdog that restarts crashed agents, but it does not capture execution state automatically like Temporal. For critical processes that must survive failures without data loss, Temporal is better.

Does Temporal's pricing change with recent updates?

Yes. In June 2026, Temporal introduced usage-based billing with a 'Billable Action Count' metric for improved cost transparency. The free tier still exists but with limited actions.

Is Amux suitable for non-coding agent workflows?

Not really. Amux is designed specifically for AI coding agents (Claude Code, Codex, Gemini CLI). For other types of agents or microservices, Temporal or other workflow engines are more appropriate.

Which tool offers better integration with OpenAI?

Temporal has an official integration with OpenAI Agents SDK (announced at Replay 2026). Amux does not mention direct OpenAI integration; it targets coding agents like Claude Code and Codex.

Can I use Temporal without writing code?

No. Temporal requires writing workflow code in one of its SDKs (Python, Go, TypeScript, etc.). Amux is configuration-based: you launch agents via dashboard without coding workflows.

Does Amux have a managed cloud version?

Yes, but pricing is not disclosed. The free version is self-hosted. Temporal Cloud is the managed offering with usage-based billing.

Which tool is easier for a solo developer to start with?

For solo devs running many coding agents, Amux's self-hosted free tier is simpler: just run a single Python script. For building reliable AI agents, Temporal's free tier with SDKs is accessible but requires learning the workflow model.

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Explore each tool further

Amux
View Amux reviewAmux alternatives
Temporal AI
View Temporal AI reviewTemporal AI alternatives

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Best AI Autonomous Coding Agents toolsBest AI Agent Frameworks & Orchestration toolsBest AI Developer Infrastructure tools
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Last reviewed: July 3, 2026