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All-in-One Environment
for AI Agents

One Docker container with browser, terminal, filesystem, VSCode, Jupyter, and MCP Server — accessible via a single API/SDK.

Browser/Terminal/Files/VSCode/Jupyter/MCP
Get StartedGitHub
Sandbox running
sandbox.py
1from agent_sandbox import Sandbox
2
3# Initialize client
4client = Sandbox(base_url=f"${base_url}")
5home_dir = client.sandbox.get_context().home_dir
6
7# Execute shell commands
8result = client.shell.exec_command("ls -la")
9print(result.data.output)
10
11# File operations
12content = client.file.read_file(f"${home_dir}/.bashrc")
13print(content.data.content)
14
15# Browser automation
16screenshot = client.browser.screenshot()
MCP Server active
// capabilities

Everything your agent needs,
out of the box

No more juggling multiple services. AIO Sandbox ships a complete, pre-wired environment in a single Docker container.

Unified Environment

One Docker container with shared filesystem. Files downloaded in the browser are instantly accessible in Terminal and VSCode.

Out of the Box

Built‑in VNC browser, VS Code, Jupyter, file manager, and terminal—accessible directly via API/SDK.

Secure Execution

Isolated Python and Node.js sandboxes. Safe code execution without system risks.

Agent-Ready

Pre-configured MCP Server with Browser, File, Terminal, Markdown, Ready-to-use for AI agents.

Developer Friendly

Cloud-based VSCode with persistent terminals, intelligent port forwarding(via `${Port}-${domain}/` or `/proxy`), and instant frontend/backend previews.

Production Ready

Enterprise-grade Docker deployment. Lightweight, scalable.