E2B
E2B gives AI agents isolated sandboxes on Firecracker microVMs with fast startup, several languages, and self-hosted or bring-your-own-cloud deployment. Sessions are capped at 24 hours, and it is aimed mainly at enterprise use.
Alternatives / Modal
Looking for an open source Modal alternative? We compared 2 open source platforms for running AI-generated code by license, isolation, and deployment. E2B is a sandbox runtime, and Beam is a broader GPU compute platform.
Written by Maxime DERAME
Last updated:
| Alternative | Best for | License |
|---|---|---|
| E2B | Firecracker sandboxes for agents | Apache-2.0 |
| Beam | GPU workloads and sandboxes | AGPL-3.0 |
We looked for open-source tools that run code and GPU workloads on demand like Modal. We verified each project's license, recent activity, stars, and self-hosting in its repository. We left out OpenComputer because we could not match its repository to the product described. See our methodology for the full criteria.
E2B gives AI agents isolated sandboxes on Firecracker microVMs with fast startup, several languages, and self-hosted or bring-your-own-cloud deployment. Sessions are capped at 24 hours, and it is aimed mainly at enterprise use.
Beam is a GPU compute platform for inference, task queues, and sandboxes, defined in Python, with memory snapshots that restore GPU containers quickly and the option to run on your own cloud accounts. It is broader than a pure sandbox tool.
E2B is Apache-2.0. Beam is AGPL-3.0.
Both had commits within days of this update.
Modal is a proprietary serverless platform billed by compute time, so your code and data run on its infrastructure. Open-source alternatives can run in your own cloud, but they cover only parts of Modal, such as sandboxes or GPU task execution.
| Alternative | Type | License | Self-hosted | Best for |
|---|---|---|---|---|
| E2B | Agent sandbox | Apache-2.0 | Yes | Running agent code |
| Beam | GPU compute | AGPL-3.0 | Yes (own cloud) | Inference and GPU tasks |
Want fast isolated sandboxes for agents
E2B uses Firecracker microVMs with multi-language support.
Want GPU workloads too
Beam combines inference, task queues, and sandboxes on GPUs.