Sandbox & Execution

A CNCF Sandbox SRE Agent that automatically analyzes infrastructure logs and metrics to assist with incident diagnosis and system operations.

Open-source AI agent desktop app for Windows and macOS with one-click install of Claude Code, MCP tools, and Skills, featuring sandbox isolation, multi-model support, and Feishu/Slack integration.

Sandboxed code execution for AI agents, locally or on the cloud. Massively parallel, easy to extend. Powering SWE-agent and more.

Arrakis is a fully customizable and self-hosted sandboxing solution written in Go, designed specifically for AI agent code execution scenarios, providing a secure isolated runtime environment.

Lightweight, cross-platform process sandboxing powered by OpenAI Codex's runtime — sandbox any command with file, network, and credential controls.

All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container, providing a secure isolated execution environment for agents.

OpenSandbox is an open-source, secure, fast, and extensible sandbox runtime for AI agents, developed by Alibaba.

A capability-based, multiplexing sandbox tool built for developers — run agents securely without needing any additional infra, zero setup, zero latency.

An open-source long-horizon SuperAgent harness by ByteDance that researches, codes, and creates with sandboxes, memories, tools, skills, subagents and message gateway for complex tasks.

A Data Agent Ready Warehouse unifying Analytics, Search, AI, and Python Sandbox in one system. Runs on your S3 with built-in vector search, full-text search, and Python execution for AI-powered data analysis.

Daytona provides secure development-environment infrastructure for coding agents and automation workflows, serving as a runtime base for remote execution tasks.

Open-source all-in-one AI productivity platform combining a generalist AI agent, workflow engine, instant messaging, and online documents

Python and JS/TS SDK for running AI-generated code in secure cloud sandboxes with Jupyter-style code interpretation

E2B provides secure cloud sandboxes for AI agents, supporting code execution, file operations, and isolated compute as an execution layer for coding and automation workflows.

Sandbox your local AI agents so they can only read and write what they need. File system permission control for secure local agent execution.

A lightweight, fast, and secure code execution environment supporting multiple programming languages — provides sandboxed code execution for the Dify platform.

Easy Linux virtual machine on macOS to sandbox LLM agents — a lightweight VM solution for safely running AI-generated code in isolation.

Microsoft's AI Agent Governance Toolkit providing policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

Context Mode is a context window optimization tool for AI coding agents that sandboxes tool output for 98% context reduction across 12 major platforms.

A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, and MCP tools.

Run coding agents in sandboxes. Control them over HTTP. Supports Claude Code, Codex, OpenCode, and Amp with isolated execution environments.

Dev environments in your web app — run Node.js runtime environments in the browser with full sandboxing, no server-side execution needed.

Arrow is the first UI framework for the agentic era, tiny and performant with built-in WASM sandboxes for safe code execution, purpose-built for building AI agent interfaces.

Steel Browser is an open-source browser sandbox purpose-built for AI agents and applications. It provides a full browser API with session management, proxy integration, and built-in anti-detection, enabling web automation without infrastructure headaches.

Secure, local, cross-platform and programmable sandboxes for AI agents. Provides strict resource isolation using microVM technology.

CUA provides open-source infrastructure for Computer-Use Agents, including sandboxes, SDKs, and benchmarks to train and evaluate AI agents that control full desktops (macOS, Linux, Windows).

Lightweight and portable LLM sandbox runtime Python library — provides a code interpreter for safely executing AI agent-generated code in isolated environments.