sandboxd vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | sandboxd | Temporal AI |
|---|---|---|
| Pricing | Free (self-hosted, open-source) | Freemium (usage-based billing for cloud) |
| Primary Use Case | Self-hosted isolated dev sandboxes with AI agents | Reliable durable execution for AI agents and workflows |
| Deployment | Self-hosted on Linux (one-command setup) | Cloud or self-hosted (open-source) |
| Key Feature | Isolated Docker containers with preview URLs | Automatic state capture and recovery |
| Best For | AI app-builder product teams and agent platforms | Teams building reliable AI agents and multi-step workflows |
| Integration Highlight | Docker, Traefik, OpenCode, Claude Code | OpenAI Agents SDK, Google ADK, Slack, Salesforce, Twilio |
Temporal AI and sandboxd serve fundamentally different needs. Temporal AI is the right choice for teams requiring bulletproof durability and orchestration for complex, long-running workflows – think OpenAI or Replit. sandboxd is ideal for product teams that need to manage many isolated coding environments on their own infrastructure, like an AI app builder or agent platform. Evaluate based on whether you need workflow reliability (pick Temporal) or sandbox isolation (pick sandboxd).
Durable execution platform that keeps AI agents working through failures with automatic retries and state capture.
Visit WebsiteWhat real users say: sandboxd 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.
sandboxd
29 mentions across 3 sources · 37% positive — critical
Hacker News, YouTube, GitHub
What users praise
- • One-command setup on any Linux host with Docker, no Kubernetes needed.
- • Per-sandbox preview URLs with automatic routing and TLS encryption.
- • Sandboxes idle to zero memory and wake instantly on request.
- • Pre-installed AI coding agent CLIs (Claude Code, OpenCode) out of the box.
What frustrates them
- • Code audits reveal critical and high-severity security vulnerabilities.
- • Very small community with limited real-world usage and support.
- • No disk quota per sandbox implemented yet.
- • 10 open issues on GitHub indicate active but unfinished development.
Researched Jun 30, 2026
Temporal AI
32 mentions across 2 sources · 63% positive — mixed
YouTube, Lemmy
What users praise
- • Durable execution automatically captures state and resumes after failures, no manual intervention needed.
- • Automatic retries and timeouts for activities eliminate common API failure headaches.
- • Full visibility UI lets you see exactly what's happening in every workflow step.
- • Native SDKs for Python, Go, TypeScript, and more provide code flexibility without vendor lock-in.
What frustrates them
- • Learning curve to master workflow vs activity concepts for newcomers.
- • Self-hosting setup can be complex; may need to invest in infrastructure.
- • Not a drop-in replacement for simple cron jobs—overkill for basic scheduling.
- • Serverless Workers for Google Cloud Run are only pre-release, limiting production use.
Researched Aug 18, 2026
Who should pick which
- AI agent platform builderPick: Temporal AI
Temporal's durable execution ensures AI agents survive crashes and retries, with integrations to OpenAI Agents SDK and Google ADK.
- AI app-builder product team (e.g., Lovable, Bolt)Pick: sandboxd
sandboxd provides isolated sandboxes per user/agent with preview URLs, ideal for coding playgrounds and per-branch environments.
- Solo developer needing quick sandbox for one containerPick: sandboxd
If you just need a single container, docker run suffices. But for disposable, resource-capped environments with AI CLIs, sandboxd is great.
- Fintech team building Saga transactionsPick: Temporal AI
Temporal's compensating transactions and automatic retries are perfect for financial systems requiring rollback guarantees.
Frequently Asked Questions
sandboxd vs Temporal AI: which should you choose?
Temporal AI and sandboxd serve fundamentally different needs. Temporal AI is the right choice for teams requiring bulletproof durability and orchestration for complex, long-running workflows – think OpenAI or Replit. sandboxd is ideal for product teams that need to manage many isolated coding environments on their own infrastructure, like an AI app builder or agent platform. Evaluate based on whether you need workflow reliability (pick Temporal) or sandbox isolation (pick sandboxd).
Can Temporal and sandboxd be used together?
Potentially yes. Temporal could orchestrate workflows that spawn sandboxd environments for code execution. They address different layers: durability vs isolation.
Which tool is better for multi-tenant isolation?
sandboxd is designed for multi-tenant sandboxes with per-sandbox memory limits and a host-memory reaper. Temporal does not provide sandbox-level isolation.
Do these tools support human-in-the-loop?
Temporal supports human-in-the-loop via signals and pause/resume. sandboxd does not offer such features; it focuses on sandbox management.
Does sandboxd have a paid cloud version?
No, sandboxd is open-source and self-hosted only. There is no managed cloud offering.
Is Temporal suitable for simple cron jobs?
No, it's overkill for simple scheduled tasks. Temporal's strength is in durable, long-running workflows requiring fault tolerance.
Can sandboxd run on Kubernetes?
It's not Kubernetes-native; sandboxd uses a single Linux server with Docker and Traefik. It's optimized for small-to-medium scale on one machine.
Does Temporal provide a preview URL for code execution?
No, Temporal does not offer preview URLs. It focuses on workflow orchestration, not sandbox hosting.
Which tool is easier to set up?
sandboxd claims one-command setup (./install.sh). Temporal can be self-hosted with Docker or used via Temporal Cloud with account creation.
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Last reviewed: June 30, 2026