What is the difference between a workspace and a sandbox?
A sandbox isolates code for an execution or session. A workspace preserves the context and useful output around that work, such as files, a URL, data and access for other people.
Grain / Learn / Workspace vs sandbox for coding agents
Definition
Workspace vs sandbox for coding agents
A sandbox is an isolated place where agent-written code runs for a session. A workspace is the durable context around useful output: its files, URL and, when needed, data, access and scheduled work remain available beyond one execution.
Definition
The distinction is about responsibility and lifetime. A sandbox supplies controlled compute. It starts from an image or template, isolates a process and can be discarded when the task finishes. A workspace gives the task continuity. It lets an agent or person return to files, locate prior output and keep a useful result reachable. The two are not opposites. A hosted workspace can run on a sandbox, just as an office can occupy a rented room. The room provides safe space for activity; the office adds an address, records and continuity. Asking whether a product is a workspace or sandbox is therefore less useful than asking which layer it owns, what persists and who can open the result.
Subtypes
| Layer | Primary job | Expected lifetime | State it commonly owns | Typical consumer |
|---|---|---|---|---|
| Process sandbox | Run untrusted or generated code in isolation | One command or task | Process, temporary filesystem and network policy | Agent or automation |
| Session sandbox | Support several steps in one agent session | Minutes or hours | Working directory, installed packages and logs | Agent and developer |
| Development workspace | Preserve a project environment between sessions | Days or longer | Repository, tools, settings and credentials | Developer and coding agent |
| Artifact workspace | Keep a result usable and shareable | As long as the artifact matters | Files, URL, optional data, access and schedules | Creator, reviewer and end user |
What to check before choosing
- Identify the unit of isolation. Check whether each command, agent, branch, user or project receives a separate environment. The answer determines both security boundaries and how much context survives.
- Verify what wakes up later. A filesystem snapshot is not the same as a running service. Determine whether files, packages, processes, databases and schedules persist or are reconstructed.
- Define who needs access. Agent execution may need an API or SDK. A reviewer needs a browser URL and suitable access control. A workspace that serves only a terminal does not automatically solve artifact sharing.
- Plan how state is recovered. Look for export, pull or ordinary repository workflows. Know which data is portable and which settings belong to the provider.
- Understand what you operate. Bare sandboxes give infrastructure control and require you to build publishing, identity and lifecycle behavior. A higher-level workspace removes that work but makes more product decisions for you.
Examples
| Example | Layer described on 2026-09-04 | Persistence boundary | Good fit |
|---|---|---|---|
| E2B | Sandbox infrastructure through Python and JavaScript SDKs | Session-scoped compute with storage and duration limits by tier | Building controlled code execution into an agent product |
| Daytona | Stateful elastic sandboxes for AI agents | Sandbox state is a provider concern, while publishing an end-user artifact remains yours | Teams building an agent runtime that needs stateful isolated environments |
| Grain | Artifact workspace that uses E2B microVM sandboxes for paid cloud workspaces | Published artifact files, URL and supported app services outlive the agent session | Making an existing coding agent's output usable by other people |
Worked example: a coding agent receives a task to build a small incident tracker. In the execution layer, a sandbox starts from a controlled image, installs dependencies, runs tests and serves a preview. If a test executes unsafe generated code, the isolation boundary limits what that process can reach. When the task finishes, discarding that sandbox can be correct. The resulting tracker has a different requirement. Teammates need a URL tomorrow, incident records must remain in a database and invited users need access. Those needs belong to the artifact workspace. The agent publishes the files, connects the app's state, verifies the share mode and returns the URL. Later execution can happen in a fresh sandbox while the workspace remains the stable identity of the tracker. This separation also makes debugging clearer: a failure to install a dependency is a sandbox problem; a lost incident record is a workspace or data-lifecycle problem; a reviewer unable to open the URL is an access problem.
Where Grain sits
Grain owns the artifact-workspace layer. An existing CLI coding agent writes files and publishes them through the CLI. The result can be a static page or a full app with Postgres, logins and scheduled jobs. It can be shared publicly, behind a password or with invited people. Published artifacts stay published on the free tier, while ten included sandboxes sleep when idle and one workspace stays always on. Paid cloud workspaces run on E2B microVM sandboxes, which makes the relationship concrete: E2B provides an execution substrate, and Grain provides the durable artifact and sharing experience around it. Grain is not a general sandbox SDK and does not help a platform engineer embed arbitrary untrusted execution into another product. Choose sandbox infrastructure when controlled compute is the product primitive you need. Choose an artifact workspace when people need to keep using what the code produced.
Frequently asked questions
Can a workspace run inside a sandbox?
Yes. A product can use sandboxes as its compute layer while maintaining a durable workspace identity and restoring the files or services needed when compute starts again.
Does persistent storage make a sandbox a workspace?
Not by itself. Persistent storage adds continuity, but a workspace may also need project identity, a stable URL, access control, data services and a way for people or agents to return.
When should a coding agent use a sandbox?
Use one when the agent needs isolated compute to install packages, run generated code, test a change or execute a bounded task without trusting the process on the host machine.
When should agent output use a workspace?
Use a workspace when the output must remain reachable, keep data, run later or accept feedback after the execution session is gone.
Keep the workspace after execution ends
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Sources · facts verified 2026-09-04
- E2B pricing and sandbox limits · 2026-09-04
- Daytona agent sandbox platform · 2026-08-31