Sandboxed.Sh vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-09-15
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At a glance

DimensionSandboxed.ShTemporal AI
Ease of UseMedium – Docker + CLI setup, but familiar Next.js/CLIMedium – SDKs and UI, but requires workflow-as-code model
ScalabilityMedium – self-hosted, limited to server capacityHigh – fully managed cloud with serverless workers
AI Agent FocusRun long-running coding agents (Claude Code, Codex) in isolated containersDurable orchestration for AI agents; integrates with OpenAI Agents SDK, Google ADK
Data SovereigntyFull – code never leaves your serverNot guaranteed unless self-hosted Temporal Server
IntegrationsClaude Code, OpenCode, Codex, Gemini, Grok, Docker, VercelOpenAI Agents SDK, Google ADK, Slack, Twilio, Docker, K8s

Temporal AI is the better choice for teams needing a robust, scalable durable execution platform that integrates deeply with AI agent frameworks and supports complex multi-step workflows with automatic recovery. Sandboxed.sh is ideal for security-conscious developers running long coding agent sessions on their own infrastructure, but lacks the broad orchestration features and managed scalability of Temporal.

Try Sandboxed.ShTry Temporal AI
Sandboxed.Sh
Sandboxed.Sh

Self-hosted orchestrator for long-running AI coding agents on your own server.

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Temporal AI
Temporal AI

Open-source durable execution platform that keeps long-running workflows and AI agents alive through crashes, retries, and flaky APIs.

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Pricing
Freemium
Freemium
Plans
$19/mo
$0
Starting at $50 per million actions
Starting at $100/mo
Starting at $500/mo
Custom
Custom
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebMobileCLI
WebAPICLIPlugin
Categories
🛠️ Autonomous Coding Agents⚙️ Developer Infrastructure
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Persistent agent tasks (10 min–10 hrs)
Isolated Docker container per project
Skills library stored in git repo
Encrypted secrets management
Web dashboard (Next.js, deploy on Vercel)
iOS app for mobile monitoring
CLI for scripted workflows
Supports Claude Code, OpenCode, Codex, Gemini, Grok
Real-time progress streaming
Workspace snapshots and rollback
Self-hosted on your infrastructure
Multi-project support with separate environments
Git integration for skills and rules
Custom agent behaviors via version-controlled commands
Durable execution with automatic state capture at every Workflow step
Workflow-as-code orchestration with replay, pause, and recovery
Activities that retry automatically with backoff, four timeout classes, and heartbeating
Native SDKs for Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust
Rust SDK in public preview with quickstart and API docs
Signals, Queries, and Updates for mid-flight interaction with running Workflows
Workflow Streams for real-time interactivity with running executions
Human-in-the-loop orchestration without duct-taped workflow wrappers
Saga pattern via compensating transactions
Durable Timers that sleep for months plus cron Schedules with backfill
Task Queue Priority and Fairness (GA)
Worker Versioning for safe deploys, with Replay tests against real histories
Child Workflows and Temporal Nexus for durable cross-team composition
Temporal Worker Controller for Kubernetes lifecycle management (GA)
Serverless Workers for AWS Lambda (public preview) and Google Cloud Run (pre-release)
Integrations
Claude Code
OpenCode
Codex
Gemini
Grok
Docker
Vercel
Git
LangGraph
OpenAI Agents SDK
Google ADK
Google Gemini
Google Cloud Run
AWS Lambda
Azure
Kubernetes
LlamaIndex
Slack
Salesforce
Twilio
NVIDIA
Braintrust

What real users say: Sandboxed.Sh 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.

Sandboxed.Sh

1 mentions across 1 sources · 75% positive (averaged across 1 source)

GitHub

What users praise

  • • No session timeouts—agents run up to 10 hours unattended.
  • • Full data sovereignty with self-hosted Docker containers.
  • • Encrypted secrets management for sensitive codebases.
  • • Skills library version-controlled via git for repeatable workflows.

What frustrates them

  • • Very limited real-world user feedback available publicly.
  • • Requires own server and domain—extra cost and setup.
  • • No managed cloud option; self-hosting only.
  • • Learning curve for Docker, runtime config, and skill definitions.

Researched Jul 3, 2026

Temporal AI

No verifiable community signal. We scanned public discussion on Sep 8, 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

    Temporal's free tier, durable execution, and integrations with OpenAI Agents SDK enable reliable agent workflows without infrastructure management.

  • Security-conscious developer with sensitive code
    Pick: Sandboxed.Sh

    Sandboxed.sh runs fully self-hosted, ensuring code never leaves the server, which is critical for healthcare, finance, or defense projects.

  • Enterprise team orchestrating microservices
    Pick: Temporal AI

    Temporal's saga patterns, task queues with priority, and enterprise integrations (Salesforce, Twilio) are designed for complex, fault-tolerant microservice orchestration.

  • Developer automating multi-hour code refactors
    Pick: Sandboxed.Sh

    Sandboxed.sh supports long-running agents (10 min–10 hrs) with workspace snapshots, ideal for unattended code migrations or GitHub issue resolution.

  • Team wanting managed AI agent orchestration
    Pick: Temporal AI

    Temporal Cloud's serverless workers and full visibility UI reduce operational burden, plus its usage-based billing scales with usage.

Frequently Asked Questions

Sandboxed.Sh vs Temporal AI: which should you choose?

Temporal AI is the better choice for teams needing a robust, scalable durable execution platform that integrates deeply with AI agent frameworks and supports complex multi-step workflows with automatic recovery. Sandboxed.sh is ideal for security-conscious developers running long coding agent sessions on their own infrastructure, but lacks the broad orchestration features and managed scalability of Temporal.

Does Temporal AI run AI models?

No, Temporal orchestrates workflows and activities but does not run AI models itself it integrates with AI agent frameworks like OpenAI Agents SDK.

Can Sandboxed.sh run any AI coding agent?

It supports Claude Code, OpenCode, Codex, Gemini, and Grok through command-line invocation within Docker containers.

Which is better for sensitive data?

Sandboxed.sh ensures full data sovereignty as it is self-hosted. Temporal Cloud processes data on its servers unless you self-host the Temporal Server.

Is Temporal AI free to use?

Temporal offers a free tier for Temporal Cloud and the open-source server is free. Usage-based billing applies beyond free limits.

Does Sandboxed.sh have a managed cloud?

No, it is designed for self-hosting only; you provide your own server (e.g., ~$30/mo) and deploy the dashboard on Vercel.

Can Temporal handle long-running agent tasks?

Yes, Temporal workflows can run for days or longer with durable execution, automatic retries, and state persistence.

Does Sandboxed.sh support real-time monitoring?

Yes, it streams progress in real-time via web dashboard and iOS app, and provides workspace snapshots for rollback.

Which has better scalability?

Temporal Cloud scales horizontally with serverless workers. Sandboxed.sh scaling depends on your server capacity and Docker swarm management.

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Explore each tool further

Sandboxed.Sh
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Temporal AI
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Last reviewed: July 3, 2026