In simple English
When artificial intelligence agents write and run code, they need a safe place to work. This tool creates isolated boxes where agents can execute commands, manage files, and run browsers without harming your main server. You can run it locally with Docker or scale it out on Kubernetes. It is free to use under an open source licence, but you need your own server to host it.
What it is
OpenSandbox is a secure and fast runtime environment for artificial intelligence agents. It provides a unified API, software development kits in multiple languages, and a command-line interface to manage sandboxed environments.
What it is good for
Solo builders who are creating coding assistants, automated web scrapers, or code interpreters that need a safe place to run untrusted agent actions.
- Runs locally with Docker or scales to Kubernetes for production workloads.
- Supports multiple programming languages including Python, Go, and TypeScript.
- Includes a credential vault to let agents call external services safely.
- Requires Docker and a server or Kubernetes cluster to run properly.
- Setting up network policies and egress rules adds operational complexity.
- Consumes significant memory and CPU when running multiple sandboxes simultaneously.
manually managing raw Docker containers or writing custom security wrappers for code execution
Claude Code
- e2b-dev/E2B15k stars
Provides secure cloud sandboxes specifically designed for AI code execution and agents.
- basicmachines-co/basic-memory3.6k stars
Gives an AI assistant a memory stored as plain text files in a folder you can read.
- deepset-ai/haystack27k stars
A Python framework for joining language models, document search and tools into one working pipeline.
- Giskard-AI/giskard-oss5.9k stars
A Python library that writes tests for language-model programs and tries to break them on purpose.
uvx opensandbox-server init-config ~/.sandbox.toml --example docker uvx opensandbox-server