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dsh-neev-sandbox

Verified · install-tested on dsh NeevCloudAI

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2026-08-19Last push
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What it does

Run DeepSeek Harness against a gVisor-isolated cloud sandbox — files, Bash, PTY and LSP all move off your machine. Drop-in plugin, no fork, optional persistence.

✅
Our take
Works — verified, early-stage project

Run DeepSeek Harness against a gVisor-isolated cloud sandbox — files, Bash, PTY and LSP all move off your machine. Drop-in plugin, no fork, optional persistence. It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

NeevSandbox for DeepSeek Harness

npm version npm downloads Node DeepSeek Harness License

@neevcloud/dsh-sandbox

Give your DeepSeek Harness agent a clean, disposable Linux box for every run.
This bundle relocates the Harness's execution world — files, Bash, PTY, and
LSP
— into a short-lived, gVisor-isolated NeevSandbox.
Files the agent writes and commands it runs share one sandbox, nothing runs on
your machine, and there's nothing to fork: drop the bundle into any dsh
install and the stock tools keep working, now executing remotely.

npm install --global @deepseek-ai/dsh
dsh plugin --profile headless add @neevcloud/dsh-sandbox
NEEV_API_KEY=... NEEV_ORG_ID=... NEEV_PROJECT_ID=... \
  dsh --profile headless "clone my repo, run the tests, and summarize the failures"

Your agent's pwd, id, files it writes, servers it starts — all live in the
sandbox, not on your laptop.

Why

DeepSeek Harness is built on capability seams: swappable interfaces that
providers implement and tools consume. The Harness Bash, terminal, and LSP
tools delegate every execution-world operation to one seam — ctx.subprocess.
Replace that single provider and all of them move together, with no changes
to the tools themselves. That's the whole idea here: one small bundle, and your
agent's execution world is a remote sandbox.

Follows the Harness capability-seam
model and installs through the standard dsh plugin bundle mechanism — no
Harness source changes, no monorepo checkout.

How it works

The same agent, but its code runs inside an isolated gVisor sandbox instead of on your machine

Three Cordis services, shipped as one bundle:

Entry point Registers Role
@neevcloud/dsh-sandbox/runtime ctx.neev Owns one sandbox: create → ready → delete on exit
@neevcloud/dsh-sandbox/subprocess ctx.subprocess Runs processes and PTYs in that sandbox
@neevcloud/dsh-sandbox/filesystem ctx.fs Reads, writes, edits, and lists files in that sandbox

A shipped cordis.patch.yml wires them in: it disables the local subprocess
provider, inserts the two Neev rows, and sets the sandbox-aware Bash executor to
delegate straight through. dsh plugin add applies it for you.

Use cases

  • Run untrusted or AI-generated code off your machine — the blast radius is
    a disposable gVisor sandbox that's deleted when the run ends.
  • A fresh box per task. Every dsh run gets its own clean Linux
    environment; no leftover state, no "works on my laptop."
  • Fan out agents in parallel, each isolated in its own sandbox, without them
    stepping on each other's files or processes.
  • Reproducible, CI-like execution decoupled from whatever is installed on
    the host.
  • Long-running or interactive work — dev servers, REPLs, and TUIs run over a
    real PTY inside the sandbox.

Install

npm install --global @deepseek-ai/dsh
dsh plugin --profile headless add @neevcloud/dsh-sandbox

Set your Neev credentials in the host environment (never commit them):

export NEEV_API_KEY=...      # your Neev API key
export NEEV_ORG_ID=...       # organization id
export NEEV_PROJECT_ID=...   # project id

New to NeevCloud? Create an API key and find your organization and project ids
by following Retrieve organization and project IDs
in the Agentic Studio quickstart.

Then run a task:

dsh --profile headless "use Bash to run 'cat /etc/os-release' and 'id -un', and report the output"

A successful run reports the sandbox's OS and user — not your host's — and
prints the sandbox id at both lifecycle boundaries:

NeevSandbox created: <sandbox-id>
NeevSandbox terminated: <sandbox-id>

Verify the wiring anytime with dsh --profile headless --dump-config: the
subprocess row is disabled and the neev-runtime / neev-subprocess rows are
inserted.

Local development install

git clone https://github.com/NeevCloudAI/dsh-neev-sandbox && cd dsh-neev-sandbox
npm install && npm run build
dsh plugin --profile headless add .

Configuration

The runtime module accepts these Cordis config fields (all optional):

Field Default Meaning
orgId NEEV_ORG_ID Organization id
projectId NEEV_PROJECT_ID Project id
templateId sb-ubuntu-26-04-minimal Sandbox template the server provisions from
image — Explicit OCI image; takes precedence over templateId
cwd discovered Absolute working directory; discovered via pwd when omitted
persist — A stable sandbox name. When set, the sandbox is reused across runs (reconnected by name) and paused instead of deleted on exit, so its files survive. Omit for the default, fully-ephemeral behavior.
idleTimeoutMs — Auto-pause the sandbox after this much inactivity to save cost, resuming lazily on the next operation. Omit to never auto-pause.

The API key is read only from NEEV_API_KEY — it is never a config field,
so a secret can never end up in a committed profile patch, and it is never
forwarded into the sandbox.

Override a row in your profile's cordis.patch.yml (a patch replaces the whole
config, so restate what you need):

- id: neev-runtime
  name: '@neevcloud/dsh-sandbox/runtime'
  config:
    templateId: sb-ubuntu-26-04-minimal

Scope and limitations

  • File versions are metadata-derived. The SDK exposes no native version
    token, so the freshness token guarding writeText/editText is a hash of the
    file's mtime, size, and mode. Guards work; there is a small non-atomic window
    between the version check and the write.
  • Writes are atomic via temp + rename, and paths resolve without symlink
    canonicalization (realpath) in this release.
  • Interactive stdin flows through the terminal (PTY); ordinary managed
    processes take startup stdin only.
  • Environment: only your explicit entries are forwarded; credential-shaped
    and NEEV_* names are always stripped, and the sandbox keeps its own base
    environment (a base-image variable cannot be unset through the spawn env).
  • PTY working directory and environment follow the sandbox defaults.

Resources

FAQ

Does it change my Harness tools? No. The stock Bash, terminal, and LSP
tools are untouched — the plugin only swaps the providers they delegate to
(ctx.subprocess and ctx.fs), so everything relocates at once.

How is the sandbox isolated? Each sandbox is a gVisor (runsc) environment
— a user-space kernel that mediates syscalls, giving container-like ergonomics
with a stronger boundary than a shared-kernel container.

Do files and Bash share state? Yes. They run in the same sandbox, so a file
the agent writes with its file tools is visible to Bash, and vice versa.

Does my API key reach the sandbox? No. NEEV_API_KEY is read host-side by
the SDK only; it is never passed into the sandbox, and credential-shaped
environment names are stripped from anything forwarded to a process.

Is the sandbox persistent? By default it's created on boot and deleted on
exit. Set persist to a stable name and the sandbox is reconnected across runs
(paused on exit, resumed on the next run) with its files intact; set
idleTimeoutMs to auto-pause it while idle to save cost.

Which model does it use? Any model provider DeepSeek Harness is configured
with; the plugin only provides the execution world, not the model.

Develop

npm install
npm run check      # lint · typecheck · test · build
npm pack

Live tests exercise a real sandbox and skip automatically unless NEEV_API_KEY
(with NEEV_ORG_ID / NEEV_PROJECT_ID) is set. Both Loader entry points
default-export their service class.

For a self-contained taste of the providers without dsh or a model, run
examples/quickstart.mjs — it runs a command in the
sandbox, writes a file with ctx.fs, and reads it back with Bash:

npm install && npm run build
NEEV_API_KEY=... NEEV_ORG_ID=... NEEV_PROJECT_ID=... node examples/quickstart.mjs

License

Apache 2.0 — see LICENSE.

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install dsh-neev-sandbox for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

Web profile:

dsh plugin --profile web add github:NeevCloudAI/dsh-neev-sandbox

Headless (CLI) profile:

dsh plugin --profile headless add github:NeevCloudAI/dsh-neev-sandbox

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

Security: not yet scanned — our daily static scan will cover it shortly.

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