Tensorlake provides isolated MicroVM sandboxes that boot in hundreds of milliseconds, with memory and filesystem preserved across suspend/resume. Get setup in a few minutes, and start a sandbox in a few seconds. Sandboxes can be used to run agent harnesses, run tool calls or even as VMs for running coding agents, builds and IDEs.Documentation Index
Fetch the complete documentation index at: https://docs.tensorlake.ai/llms.txt
Use this file to discover all available pages before exploring further.
How it works
Sandboxes are created on-demand via API calls, and they are MicroVMs backed by Firecracker and CloudHypervisor. You can specify images and resources when creating them. The default image,ubuntu-minimal, starts up in a few hundred milliseconds, while ubuntu-systemd
has a full init system and more tools and takes around 1 second to boot.
Start Using Sandboxes
Quickstart
Install the SDK and run your first sandbox.
Lifecycle
The mental model behind ephemeral, named, suspend, and snapshot.
Sandbox Images
Use and customize sandbox images for your use case.
Sandbox Persistence
How to persist sandbox state across runs with suspend and snapshots.