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OpenSandbox

Isolated sandbox runtime for AI agents on Docker or Kubernetes

  • Agent frameworks and tools
  • Servers and infrastructure
View on GitHub
Website

What it is

OpenSandbox runs AI agent workloads in isolated environments where they can execute code, run shell commands, manage files, and drive browsers or desktops. It starts locally on Docker and scales to Kubernetes, with Firecracker microVMs that support pause and resume, per-sandbox egress policies, and a credential vault that keeps real secrets out of sandboxes. Teams building agent products, evaluation harnesses, or RL training pipelines reach it through SDKs in Python, TypeScript, Java, C#, and Go, a CLI, or MCP.

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Facts

Stars
15,998 GitHub stars.
15,998

Forks
1,486
Commits
3,764
Contributors
145
Language
Python
License
Apache-2.0
Last commit
Oct 20, 2026
On GitHub since
December 2025
First release
December 2025
Platforms
Linux, CLI, self-hosted, library
Self-hostable
Yes
Alternative to
Daytona
Tags
  • containers
  • agent-sandbox
  • mcp-server
  • ai-agents
  • container-orchestration
  • computer-use

Last synced from GitHub on Oct 20, 2026

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