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Agent Sandbox

Active
GitHub Python Apache-2.0

Description

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.

Key Features

  • All-in-one sandbox combining Browser, Shell, File, VSCode Server, Jupyter, and MCP in one container
  • Unified filesystem enabling seamless data flow between browser downloads and shell operations
  • Full browser automation via VNC, CDP, and MCP interfaces
  • Pre-configured MCP servers for browser, file, shell, and document processing
  • Multi-language SDK support: Python, TypeScript/JavaScript, and Go
  • 30-second Docker setup with zero configuration required

Use Cases

💡 Secure code execution sandbox for AI agent tool calls
💡 Browser automation and web scraping with file persistence
💡 Development environments with VSCode Server and Jupyter Notebook
💡 MCP-compatible agent workflows with sandboxed operations
💡 Automated testing and QA with isolated browser and file systems

Strengths & Limitations

✅ Strengths

  • • Actively maintained, recent updates
  • • High community interest (5.8k stars)
  • • Permissive open-source license (Apache-2.0)

Tags

automation devops docker agent tools

Categories

🔄 Workflow 🏗️ Sandbox & Execution

Quick Start

Run: docker run --security-opt seccomp=unconfined --rm -it -p 8080:8080 ghcr.io/agent-infra/sandbox:latest. Access: http://localhost:8080/v1/docs (API docs), http://localhost:8080/vnc/ (browser), http://localhost:8080/code-server/ (IDE). Python SDK: pip install agent-sandbox.
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