Sandbox on SoloSoft

Agent Sandbox: All-in-One Sandbox for AI Agents with Browser, Shell, and VSCode

Fri, 01 May 2026 00:00:00 +0000

AI agents need environments to execute in – places to run code, browse the web, edit files, and interact with tools. Building these environments from scratch for each agent platform is tedious and error-prone. Agent Sandbox solves this by providing a complete, pre-configured Docker sandbox that combines a browser, shell, file system, MCP server, and VSCode Server in a single containerized workspace.

Developed by agent-infra, Agent Sandbox is designed as the execution environment for AI agents that need to perform real-world tasks. Instead of cobbling together separate tools for browser automation, code execution, and file management, developers get a unified sandbox with all of these capabilities pre-integrated and ready to use.

Anthropic's Sandbox Runtime: OS-Level Sandboxing Without Containers

Fri, 01 May 2026 00:00:00 +0000

AI coding agents like Claude Code need to execute a wide range of operations – reading files, writing code, running commands, making network requests. Managing the security boundaries around these operations has typically required either heavy containerization (Docker) or frequent user permission prompts. Sandbox Runtime by Anthropic offers a third path: lightweight, OS-level sandboxing that enforces security policies without the overhead of containers.

The tool works by leveraging the operating system’s built-in sandboxing capabilities – seatbelt profiles on macOS and seccomp-bpf with landlock on Linux – to define precise boundaries for what agent processes can and cannot do. Rather than asking the user for permission on every operation, Sandbox Runtime pre-configures what is allowed and blocks everything else automatically.

NVIDIA OpenShell: Safe, Private Runtime for Autonomous AI Agents

Fri, 01 May 2026 00:00:00 +0000

Autonomous AI agents are powerful, but they come with significant risk. An agent with shell access could accidentally delete files, make unwanted network requests, or leak sensitive data. Traditional containerization (Docker, gVisor) was not designed for the granular, agent-specific security policies that AI applications need. NVIDIA OpenShell addresses this gap with a purpose-built sandboxed runtime for AI agents.

OpenShell, published at github.com/NVIDIA/OpenShell, is NVIDIA’s open-source answer to agent security. It provides an isolated execution environment where agents operate under declarative YAML policies that precisely control filesystem access, network communication, process execution, and inference calls. The sandbox runs as a separate process with minimal privileges, enforcing policies at the kernel level through Linux security modules.