OpenSandbox overview: self-hosted AI code execution
Learn how OpenSandbox runs agent-generated code in containers, with an example covering server settings, API keys, a sandbox image and cleanup.
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This overview, uploaded on March 3, 2026, introduces Alibaba's OpenSandbox as an open source server for executing code produced by an AI agent. The speaker describes creating a dedicated sandbox, running commands inside it and hosting the server yourself with your own API key. The walkthrough does not specify an OpenSandbox release version.
The speaker says OpenSandbox uses Docker or OCI containers with isolation mechanisms including namespaces, cgroups and seccomp. The video does not test isolation or establish what protection a particular deployment would provide.
The example covers a server address supplied through an environment variable, a sandbox API key and a sandbox image. It also discusses selecting a Python version and using SDKs for different languages, without naming specific supported versions. A VNC example shows command execution through command.run, followed by sandbox cleanup with sandbox kill.
The focus is the execution environment around agent-generated code. Viewers get a brief introduction to the repository and example configuration, rather than a complete installation guide or a demonstration of running a local LLM.