Open-source AI infrastructure
Six sandbox platforms for running AI-generated code, compared on isolation primitive, whether you can self-host, how concurrency is priced, and one project whose op…
Containers share the host kernel. A container escape is a kernel exploit away, and AI-generated code is untrusted input by definition. Fine for code you wrote, questionable for code a model wrote in response to a user's prompt.
The best-known name here and a genuinely excellent developer experience. Creating a sandbox and running code takes about four lines, and the SDKs are well made.
71,871 stars. Repository no longer maintained. No licence file since June 2026.
Not open source. Not self-hostable. Serverless compute with GPUs.
Beam positions itself as an open-source E2B alternative with Docker-based sandboxing, GPU support for both Python and Node.js, and no session time limits, with a self-hostable option.
There is a long tail here (microsandbox, OpenComputer, PandaStack and others) that shows up in roundups. We have not verified their licences, maintenance status or isolation guarantees, so we are not going to rank them.