AI AGENTS

OpenSandbox

by OpenSandbox

agentlead-sourcegithub-ai-agent-repositoriessource:github.comsandboxai-agentsruntimedeveloper-toolsmcpopenapigithub

Overview

Universal sandbox infrastructure for AI applications, described as a secure, fast, and extensible sandbox runtime for AI agents.

Details

OpenSandbox describes itself as universal sandbox infrastructure for AI applications that securely runs commands, filesystems, code interpreters, browsers, and developer tools in isolated runtimes. Its GitHub repository describes the project as a secure, fast, and extensible sandbox runtime for AI agents. The architecture documentation identifies client SDKs, CLI, MCP server, OpenAPI contracts, lifecycle control plane, and execution APIs as core surfaces for agent and sandbox workflows.

When to Use

Run AI-agent tasks that need isolated runtimes for commands filesystems code interpreters browsers or developer tools. Integrate sandbox workflows through documented surfaces such as client SDKs CLI MCP server OpenAPI contracts lifecycle control plane or execution APIs.

Getting Started

Visit the official OpenSandbox website for the product overview.
Review the GitHub repository for the project source and README context.
Read the architecture documentation to understand SDKs
CLI
MCP server
OpenAPI contracts
lifecycle control
and execution APIs before integrating.

Key Features

•Isolated runtime infrastructure for AI applications
•Supports commands
•filesystems
•code interpreters
•browsers
•and developer tools
•Client SDKs
•CLI
•MCP server
•and OpenAPI contract surfaces
•Lifecycle control plane and execution APIs for sandbox workflows

Capabilities

•sandbox-runtime
•ai-agent-infrastructure
•isolated-code-execution
•mcp-server
•cli
•openapi

Last updated Jun 5, 2026