Nano Computersfor AI Agents
Persistent cloud sandboxes with files, terminal, browser, preview URLs, and POSIX volumes — so coding agents can keep state, resume work, and evolve across tasks.
Dashboard
Welcome to your workspace
Recent Activity
My First Sandbox2m ago
Data Analysis1h ago
Web Scraper3h ago
API Gateway Test5h ago
Monthly Usage
All systems operational99.9%
Docker Containers vs Other Sandboxes
Why coding agents need isolated execution, persistent files, and predictable resources
Kernel-level isolation · Configurable resource limits · Zero env conflicts · Built for AI agents
Everything you need for secure code execution
Docker-based sandboxes with SDK-first design — built for Coding Agents and developers
from sandock import Sandock
sb = await Sandock.create(
lang="python"
)
result = await sb.exec(
"print('Hello, World!')"
)
Built for Developers and Innovators
Whether you're building AI Agents, developing MCP Servers, or need a high-performance code execution environment with SSD-backed persistent storage, Sandock has you covered.
$ codex task --safe
> mounting /workspace
> running tests
> sandbox ready
AI Agent Developers
Long-running Docker sandboxes with SSD-backed persistent volumes — coding agents like Claude Code, OpenAI Codex, and Anthropic Agent SDK work flawlessly with 100% POSIX compatibility.
search_docs
run_code
read_file
MCP Server Developers
Quickly build and host Model Context Protocol servers. Persistent containers mean your MCP server stays alive between agent calls — no cold-start overhead.
Educators
Provide students with a safe, high-performance programming environment. Supports multiple languages, real-time execution results, no complex setup required.
DevOps Engineers
Quickly test scripts and tools in isolated Docker containers. SSD-backed storage, resource limits, and real-time monitoring — production-grade reliability at dev-friendly cost.
Ready to run coding agents in the cloud?
Create secure, isolated Docker sandboxes in seconds for reliable AI agent and automation workloads.