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sandbox

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by agent-infra

Overview

A comprehensive sandbox environment for AI agents, integrating browser, shell, file system, VSCode server, Jupyter notebooks, and Model Context Protocol (MCP) services within a unified Docker container for agent development and tool evaluation.

Installation

Run Command
docker run --security-opt seccomp=unconfined --rm -it -p 8080:8080 ghcr.io/agent-infra/sandbox:latest

Security Notes

The system is designed as an agent sandbox to execute arbitrary code (shell, Python, Node.js, browser automation) within a Docker container. The provided `docker run` command explicitly uses `--security-opt seccomp=unconfined`, which disables seccomp filtering, allowing the container broader syscall access. This is an intentional design choice for a flexible sandbox but means the Docker container itself is the primary security boundary. Users must ensure robust container isolation and carefully manage agent permissions to prevent unintended execution or privilege escalation outside the sandbox. Environment variables are utilized for credentials in SDK integrations (e.g., Volcengine, OpenAI), mitigating hardcoded secret risks within the core server.

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Stats

Interest Score100
Security Score6
Cost ClassHigh
Stars1534
Forks140
Last Update2025-12-01

Tags

AI AgentsSandboxDevelopment EnvironmentMCPBrowser Automation