Open Source Blaxel Alternatives
A curated collection of the 2 best open source alternatives to Blaxel.
The best open source alternative to Blaxel is E2B. If that doesn't suit you, we've compiled a ranked list of other open source Blaxel alternatives to help you find a suitable replacement. Other interesting open source alternative to Blaxel is OpenComputer.
Blaxel alternatives are mainly AI Development Platforms. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Blaxel.
Cloud sandboxes for running AI-generated code safely, aimed at developers building agents that need to execute what a model writes.
Running code that a language model just wrote is the point where an agent stops being a demo and becomes a liability. E2B is open source infrastructure for exactly that problem, providing secure isolated sandboxes in the cloud where generated code can execute without touching your own machines.
Sandboxes are started and controlled from a JavaScript SDK or a Python SDK. Create one, run shell commands inside it, read the output back into your program, and dispose of it when the task is finished. An API key from the dashboard is the only setup beyond installing the package.
Three packages cover the common shapes of agent work.
- Core SDK: create sandboxes and run commands, with stdout returned to the caller.
- Code Interpreter: execute code directly through runCode and run_code for interpreter style workloads.
- Desktop: mouse, keyboard, screenshot, application and desktop streaming APIs for computer use agents.
A cookbook of examples shows the SDKs working with different models and AI frameworks, and the documentation covers the rest of the surface area.
If you would rather not depend on the hosted service, the infrastructure is published separately and deploys with Terraform, guided by a self-hosting document. AWS and Google Cloud are supported today, while Azure and a general Linux machine remain unchecked items on the project's own list.
Deploy TypeScript agents to durable cloud sessions that hibernate when idle, aimed at developers who build agents as code.
OpenComputer turns a cloud agent into ordinary source code. A project holds one or more agents that run in the cloud, so there is no console to click through and no infrastructure to stand up before an agent answers its first request.
The CLI scaffolds a hello world project with an opencomputer directory holding a project file and an agents folder. Deploying in watch mode binds the directory to an account and pushes every edit to a development environment as you make it. A browser application can live in the same repository with its own lifecycle. Sessions themselves run on real Linux machines with a shell, a filesystem, package managers and network access.
The dashboard and the runtime cover the parts of an agent that usually need custom plumbing.
- Versioned deployments: publishing under an alias creates an immutable release, and earlier ones stay addressable.
- Project view: the playground, sessions, files, connections, channels, schedules and agent schema are all inspectable.
- Durable sessions: a session hibernates when idle and resumes where it left off.
- Scheduling: cron expressions fire an agent without a separate scheduler.
- Secret handling: credentials are bound to an origin and injected after a request leaves the machine.
The TypeScript CLI is separate from the older Go tool and covers login, agent listing, one-off sessions and named runs. It targets the hosted API by default, with a flag or an environment variable to point somewhere else. Teams that need their own cloud or private network are served by the enterprise tier.
