Tensorlake

license

Apache-2.0(OSI)

source

public(runtime+SDK, BYOC self-host in your own AWS/GCP/Azure)

managed-tier

Tensorlake hosted cloud + proprietary Lattice scheduler

core-gated

gated(the MicroVM runtime and the Lattice cluster scheduler that creates sandboxes exist in no public repo - the Apache-2.0 tree publishes the SDK, the tl CLI and client crates, which authenticate to cloud.tensorlake.ai with an API key)

Apache-2.0 SDK and CLI with a proprietary managed runtime. The core is gated on a named mechanism: not a carve-out inside the repository, but a component that is in no repository at all. The 2,350-entry tree is entirely client side - the Python SDK around cloud_client.py, the tl CLI, and nine crates that are all clients, codecs or bindings - and the README attributes sub-second creation to "Lattice, a dynamic cluster scheduler", along with snapshots, cloning, auto suspend/resume and live migration, none of which appear in any of the org’s 58 public repos. Onboarding is an API key from cloud.tensorlake.ai. One tension is worth stating plainly: this record describes the source as runtime plus SDK with BYOC self-hosting in your own AWS, GCP or Azure account, and that is not supported - the runtime is not published, and BYOC means the vendor’s closed control plane runs in your account rather than open self-hosting, which would argue for a more restrictive reading than open core. The tension is stated here rather than resolved.

• https://github.com/tensorlakeai/tensorlake recorded 2026-07-09

  Apache-2.0 license; sandbox runtime + SDK (Python + Rust); BYOC self-host

• https://www.tensorlake.ai/ recorded 2026-07-09

  sandbox-native cloud for AI agents; run sandboxes in your own cloud account

• https://api.github.com/repos/tensorlakeai/tensorlake/git/trees/main?recursive=1 recorded 2026-08-12

  Full untruncated recursive tree, 2,350 entries, one governing LICENSE plus five vendored third-party ones. Everything in it is client side: src/tensorlake/ is the SDK around cloud_client.py, and all nine crates/ are cli, cloud-sdk, function-agent-core, gsvc-codec, gsvc-fs-client, gsvc-mount and the node/py bindings. platform/ holds only macos/tlfs, a FUSE mount helper. No scheduler, allocator, VMM or control plane, and no ee/ or enterprise/ path.

• https://raw.githubusercontent.com/tensorlakeai/tensorlake/main/README.md recorded 2026-08-12

  The capabilities the product is sold on are server side and named as such: "Sandboxes created in under a second via Lattice, a dynamic cluster scheduler", plus snapshots and cloning, auto suspend/resume, live migration between machines, and "up to 5 million sandboxes in a single project". Getting started is "Sign up at cloud.tensorlake.ai and get your API key", export TENSORLAKE_API_KEY, tl login. The repo documents no way to run any of it yourself.

• https://api.github.com/orgs/tensorlakeai/repos?per_page=100 recorded 2026-08-12

  All 58 public repos in the org. Beyond the SDK they are skills, cookbooks, examples, benchmarks, integration plugins and forks of third-party projects (cloud-hypervisor, vllm, arrow-rs, moka, fuser). The former open compute engine survives only as archived clients - indexify-typescript-client and indexify-extractor-template, both archived. Nothing implements Lattice or the sandbox runtime.

• https://api.github.com/repos/tensorlakeai/tensorlake recorded 2026-08-12

  Repo metadata: language Python, license spdx_id Apache-2.0, 986 stars, default branch main.