agentbox

Self-hosted code execution sandbox for AI agents — one docker compose up gives you an HTTP API for running untrusted code in isolated environments.

Status: v0.8 — Docker/subprocess sandboxes, egress allowlists, timeouts, memory limits, snapshots, TypeScript client.

60-second try

pip install agentbox-sandbox
agentbox serve   # API on :8080
# or: docker compose up agentbox
curl -s http://localhost:8080/health
curl -s -X POST http://localhost:8080/v1/run \
  -H 'Content-Type: application/json' \
  -d '{"code":"print(sum(range(10)))"}'

Why this vs alternatives

Problem

Every agent that writes and runs code needs a safe execution environment. Teams either YOLO in shared containers or pay per-second for hosted sandboxes. Self-hosting gVisor/Firecracker is weeks of work.

Key features (v0.8)

• HTTP API: POST /v1/run executes Python or JavaScript
• Docker backend (AGENTBOX_SANDBOX_BACKEND=docker): ephemeral docker run --rm, --network=none, optional --memory, workspace at /work
• Subprocess backend remains the default for easy local tests
• Per-request limits.timeout_seconds (HTTP 408 on timeout)
• Per-request limits.memory_mb (Docker --memory or subprocess RLIMIT_AS); response includes limits_applied + oom_killed
• AGENTBOX_MAX_MEMORY_MB clamps requested memory
• Default-deny egress: Docker --network=none / Linux unshare/bwrap (network_isolated)
• Egress allowlists: AGENTBOX_EGRESS_ALLOWLIST + per-request egress_allowlist (soft userspace filter when non-empty)
• Workspace snapshots: "snapshot": true then "snapshot_id"
• Python SDK + TypeScript client (sdk/ts/client.ts)
• Credential stripping when the backend is not unrestricted

Architecture

Agent / SDK
    └── POST /v1/run
            ├── SubprocessSandbox (default — easy tests)
            └── DockerSandbox (recommended — stronger isolation)

Installation

pip install agentbox-sandbox
pip install -e ".[dev]"

Usage

Start server

agentbox serve
# or
docker compose up agentbox

Recommended: Docker sandbox backend

Requires the Docker CLI (and a reachable daemon) on the host running agentbox:

export AGENTBOX_SANDBOX_BACKEND=docker
# optional:
# export AGENTBOX_DOCKER_IMAGE=python:3.12-slim
# export AGENTBOX_DOCKER_NODE_IMAGE=node:20-slim
agentbox serve

Each /v1/run starts an ephemeral container, mounts a temp workspace at /work, applies timeout on docker run, and removes the container (--rm). Health and run responses report backend: "docker".

Run code

curl -X POST http://localhost:8080/v1/run \
  -H 'Content-Type: application/json' \
  -d '{"code": "print(sum(range(10)))"}'

curl -X POST http://localhost:8080/v1/run \
  -H 'Content-Type: application/json' \
  -d '{"code": "x = bytearray(10**9)", "limits": {"memory_mb": 64, "timeout_seconds": 5}}'

# Allowlisted egress (subset of AGENTBOX_EGRESS_ALLOWLIST when set):
curl -X POST http://localhost:8080/v1/run \
  -H 'Content-Type: application/json' \
  -d '{"code":"print(1)","egress_allowlist":["example.com"]}'

Python SDK

from agentbox.sdk.client import AgentboxClient

client = AgentboxClient("http://localhost:8080")
print(client.health())
print(client.run("print('hello')"))
print(client.run("console.log('hello')", language="javascript", timeout_seconds=5))
print(client.run("x = bytearray(10**8)", memory_mb=64))
snap = client.run("open('memo.txt','w').write('kept')", snapshot=True)
print(client.run("print(open('memo.txt').read())", snapshot_id=snap["snapshot_id"]))
client.close()

Docker

docker compose up agentbox        # start API on :8080 (subprocess backend)
docker compose run --rm test      # unit tests

Compose + Docker sandbox backend

export AGENTBOX_HOST_TMP="$(pwd)/.agentbox-work"
mkdir -p "$AGENTBOX_HOST_TMP"
docker compose -f compose.yaml -f compose.docker-sandbox.yaml up --build agentbox

Uses image target runtime-docker (docker-cli + AGENTBOX_SANDBOX_BACKEND=docker), mounts the Docker socket, and bind-mounts AGENTBOX_HOST_TMP at the same absolute path so nested docker run -v works on Docker Desktop.

Configuration

Running tests

pytest tests/ -v
# Docker unit tests mock the CLI; live Docker run is skipped if docker is unavailable
pytest tests/test_docker.py -v

Roadmap

• Node.js runtime + TypeScript client + per-run timeout
• Filesystem snapshot/restore (tar workspaces)
• limits.memory_mb via RLIMIT_AS / Docker --memory
• Default-deny egress via Linux netns (unshare/bwrap) when available
• Docker ephemeral-container backend
• Egress allowlists (AGENTBOX_EGRESS_ALLOWLIST + per-request)
• gVisor runsc backend with warm pool
• Kernel/iptables egress enforcement (beyond soft userspace hooks)

License

MIT

Known limitations (v0.8)

• Subprocess default is convenient for tests — not production-grade isolation; use AGENTBOX_SANDBOX_BACKEND=docker for stronger isolation
• Docker backend needs a local Docker CLI/daemon; missing CLI returns a clear 400
• Subprocess RLIMIT_AS is a soft address-space cap, not a cgroup memory controller (Docker uses --memory)
• Subprocess default-deny egress uses Linux unshare/bwrap when present; macOS stays credential-scrub only (network_isolated: false) unless an allowlist soft-hook applies
• Allowlists are a soft Python/Node userspace filter (not iptables); determined code can bypass
• Single-node, no warm pool
• TypeScript client is source-only (not published to npm)