Sandboxed.Sh
Self-hosted orchestrator for long-running AI coding agents on your own server.
If you need AI agents that run all night on sensitive code, Sandboxed.Sh is your only real option. It demands server ops know-how, but the container isolation and git-synced skills library justify the overhead. Compared to alternatives like Cursor or standalone Claude Code, it excels at persistence and isolation. A niche tool for power users automating multi-hour tasks on code that can't leave their infrastructure.
Verified 15d ago · liveness 47/100 · cite: rightaichoice.com/tools/sandboxed-sh
- Developers running multi-hour code refactors or migrations
- Teams handling sensitive code that cannot leave their infrastructure
- DevOps engineers automating complex, multi-project tasks
- Researchers running long experiments with AI coding agents
- Single-session or quick-iteration development workflows
- Users wanting pre-built, fully managed AI agent service
- Non-technical users uncomfortable with Docker and server setup
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Skip Sandboxed.Sh if you lack a server and DevOps comfort, or if you need a managed service with no infrastructure overhead.
Self-hosting requires your own server (≈$30/mo on Hetzner or DigitalOcean) and a domain, which aren't included in the $19/mo fee.
Sandboxed.Sh's $19/mo Hobby tier is aimed at individual developers or small teams already paying for a server. Compared to managed agent services that charge per seat or per hour, this is cost-effective for heavy, unattended use. But it's pricier than self-hosting Claude Code directly if you don't need orchestration.
In short
Sandboxed.Sh — Self-hosted orchestrator for long-running AI coding agents on your own server. Best for Developers running multi-hour code refactors or migrations, Teams handling sensitive code that cannot leave their infrastructure, DevOps engineers automating complex, multi-project tasks. Free to start; paid plans from $19/mo.
What people actually say about Sandboxed.Sh — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
1 mentions across 1 source (GitHub) · researched Jul 3, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +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.
- +Workspace snapshots and rollback for safe experimentation.
- −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.
- −Tool is early-stage with only 15 open issues tracked.
- • Server cost not included (~$30/mo minimum for VPS)
- • Domain name if not already owned
- • Potential costs for Vercel deployment of web dashboard
Viability Score
How well maintained and how widely used is Sandboxed.Sh? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key 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
About Sandboxed.Sh
Sandboxed.Sh is a self-hosted orchestrator that manages long-running AI coding agents on your own infrastructure. You connect via a web dashboard (deployable on Vercel for free), an iOS app, or a CLI. Define an agent task, and it works unattended for 10 minutes to 10 hours, then stream progress in real-time. Each project runs in an isolated Docker container, keeping code and data on your machines—critical for healthcare, finance, or defense. You control agent behavior through a version-controlled skills library synced from a git repo. The platform doesn't perform AI itself; it orchestrates runtimes like Claude Code, OpenCode, Codex, Gemini, or Grok. Setup takes about 5 minutes if you have a server and domain, with an INSTALL.md guide for automated deployment.
Behind the Verdict
Sandboxed.Sh fills a specific gap: persistent, isolated AI agent execution on your own hardware. Its core value is the orchestration layer—starting tasks, streaming progress, managing Docker containers, and syncing skills from a git repo. The absence of session timeouts means you can start a 6-hour refactor before bed and wake up to a PR. This is a genuine differentiator vs. Cursor or Claude Code's session-based limits. Strengths: Full data sovereignty, which is non-negotiable for regulated industries. The skills library is powerful—you encode team patterns as commands, and agents follow them. Multi-project isolation via containers prevents cross-contamination. Real-time streaming lets you monitor progress without babysitting. Weaknesses: It's not for the faint-hearted. You need a server and domain, and basic DevOps skills. The dashboard requires deployment (Vercel or local), adding setup friction. The free tier isn't detailed, and you must supply your own AI model API keys. There's no managed option—if you want a hands-off service, this isn't it. Where it fits: Teams with sensitive codebases, developers running lengthy migrations, or anyone wanting to automate complex tasks without cloud lock-in. Where it doesn't: Quick-iteration shops or single-session coders—the overhead isn't worth it. Overall, Sandboxed.Sh is a niche but robust tool for power users. It's not a wrapper; the container management, skills sync, and orchestration are significant engineering beyond prompting.
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Real-world workflow fit
Concrete scenarios for the personas Sandboxed.Sh actually fits — and what changes day-one when you adopt it.
Set up sandboxed.sh on a Hetzner server, deploy dashboard to Vercel, and use the CLI to start a migration task on a legacy codebase.
Outcome: Task runs overnight, streams progress, and you review the resulting PR in the morning, all without cloud exposure.
Deploy sandboxed.sh in a private VPC, configure skills for HIPAA compliance, and point agents at security-focused repos.
Outcome: Agents run long refactors on sensitive code, with data staying on-premises and rules enforced via git-synced skills.
Set up isolated workspaces per project, each with its own tools and rules, and monitor via iOS app.
Outcome: Parallel agent tasks run without cross-contamination, and you get real-time status updates from your phone.
Use Cases
- Refactor a legacy codebase overnight by starting a task before bed and reviewing the PR in the morning.
- Automate bug fixes by pointing an agent at a GitHub issue and letting it work until a PR is ready.
- Enforce team coding standards via a shared skills repository that agents follow across projects.
- Run AI agents on sensitive healthcare or finance code with full data sovereignty on your own server.
- Manage multiple projects with different toolchains and rules in isolated container workspaces.
Models Under the Hood
as of 2026-09-14
Limitations
- Since sandboxed.sh is self-hosted, users must supply and maintain their own server infrastructure, with setup taking about 5 minutes according to the vendor.
- The evidence emphasizes controlling where code and secrets live, but it does not specify pricing or usage limits.
as of 2026-08-26
Verification history
We have re-verified Sandboxed.Sh 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Sandboxed.Sh tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Hobby
$19/mo
Ideal for
Individual developers or small teams self-hosting on their own server, needing up to 5 active workspaces and one concurrent agent task.
What this tier adds
Starting tier at $19/mo, includes 5 workspaces, 1 concurrent task, community support, and self-hosting on your server.
Where the pricing makes sense
The company stage and team size where Sandboxed.Sh's pricing actually pencils out — and where peers do it cheaper.
Sandboxed.Sh's $19/mo Hobby tier is aimed at individual developers or small teams already paying for a server. Compared to managed agent services that charge per seat or per hour, this is cost-effective for heavy, unattended use. But it's pricier than self-hosting Claude Code directly if you don't need orchestration.
Setup time & first value
How long it actually takes to get something useful out of Sandboxed.Sh — broken out by persona, not the marketing-page minute.
For a developer with a server and domain, setup takes about 5 minutes: run the INSTALL.md guide, either manually or via an AI assistant. Deploying the Next.js dashboard to Vercel adds ~5 minutes. The iOS app just requires entering your server URL. Total to first agent task: ~10 minutes if you're comfortable with the stack.
Switching to or from Sandboxed.Sh
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Claude Code (standalone): Set up sandboxed.sh as a wrapper to add persistence and isolation, reusing your existing skills as commands.
- ↗To hosted alternatives like Cursor or GitHub Copilot: Export your skills and rules as simple prompts, but lose container isolation and long-running persistence.
Integrations
Resources & Guides
- Quickstartsandboxed.sh
Getting Started · Sandboxed.Sh
Get up and running fast from sandboxed.sh
- Resourcesandboxed.sh
Setup · Sandboxed.Sh
Helpful link from sandboxed.sh
- Resourcesandboxed.sh
First Mission · Sandboxed.Sh
Helpful link from sandboxed.sh
- Resourcesandboxed.sh
Library · Sandboxed.Sh
Helpful link from sandboxed.sh
Tutorials & Learning
YouTube returned 6 videos for “Sandboxed.Sh”, and we withheld 6: 6 could not be judged, because “Sandboxed.Sh” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Sandboxed.Sh.
Official links
Tools that pair well with Sandboxed.Sh
Common stack mates teams adopt alongside Sandboxed.Sh, with the specific reason each pairing earns its keep.
Mintlify
Self-updating documentation built for AI agents, with a built-in MCP server and Mintlify Index retrieval.
Poolside
Poolside builds open-weight agentic coding models you can self-host for secure, long-horizon software engineering.
OpenHands
Open-source platform for autonomous cloud coding agents that fix bugs, review PRs, and automate workflows.
Featured Head-to-Head Comparisons
Sandboxed Sh vs Spider Cloud
Choose Sandboxed.Sh if you need secure, long-running AI coding agents that operate on your own infrastructure—ideal for sensitive codebases and multi-hour refactors. Choose Spider Cloud if your AI agents require fast, reliable web data extraction at scale, with recent additions like Browser AI commands and a scraper catalog making it even more powerful for RAG pipelines. They solve fundamentally different problems, so your choice depends on whether you need to orchestrate code agents or feed your AI with live web data.
Sandboxed Sh vs Voyage Ai
Choose Voyage AI if your priority is accuracy and low-cost vector storage for enterprise RAG on finance, legal, or code. Choose Sandboxed.Sh if you need a self-hosted orchestrator to run AI coding agents for hours without session limits, keeping sensitive code on-premises.
Sandboxed Sh vs Temporal Ai
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.
Pieces For Developers vs Sandboxed Sh
If you need to run unattended AI agents for hours on sensitive code, Sandboxed.Sh is the only choice—it’s self-hosted and containerized. If you lose context daily across apps and want automatic recall, Pieces for Developers gives you a searchable timeline without manual effort. They solve opposite problems: one is an agent orchestrator, the other a memory recorder.
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