OpenPipe

license

Apache-2.0(OSI, OpenPipe Inc.

source

public

methods

RL(GRPO)+SFT trajectory training

managed-tier

OpenPipe hosted training/serving SaaS on top of the OSS lib

core-gated

ungated(ART FAQ commits to maintaining ART as a full-featured open source project and calls the hosted ART backend optional, for users who do not want to manage GPU infrastructure

Apache-2.0 with the full source public and nothing withheld from it: no enterprise directory, no closed package the open one depends on, no license key. The ART FAQ commits to "maintaining ART as a full-featured open source project" and calls the hosted backend "an optional hosted ART backend for users who don't want to manage GPU infrastructure on their own", and the docs describe a fully self-hostable LocalBackend beside it. OpenPipe's hosted training and serving SaaS is a separate product sold alongside the open core, which does not count as gating on this scale. Some vendored code carries LGPL-3.0.

• https://github.com/OpenPipe/ART recorded 2026-08-11

  Repo metadata reads `"isPrivate":false`, `"isArchived":false`, `"visibilityLabel":"Public"`, and `"license":{"spdxId":"Apache-2.0","name":"Apache License 2.0"}`.

• https://raw.githubusercontent.com/OpenPipe/ART/main/LICENSE recorded 2026-08-11

  Full Apache License 2.0 text; appendix reads "Copyright 2025, OpenPipe, Inc." followed by an "Additional License Notice" stating the distribution "includes a small portion of code adapted from a third-party project licensed under the GNU Lesser General Public License v3.0."

• https://raw.githubusercontent.com/OpenPipe/ART/main/README.md recorded 2026-08-09

  "Train from anywhere. Run the ART client on your laptop and let the ART server kick off an ephemeral GPU-enabled environment, or run on a local GPU." Install is `pip install openpipe-art`.

• https://art.openpipe.ai/getting-started/faq.md recorded 2026-08-11

  ART FAQ states "We are committed to maintaining ART as a full-featured open source project" and "We've included an open-source ART backend". On the hosted option it says "We will also deploy an optional hosted ART backend for users who don't want to manage GPU infrastructure on their own." The FAQ names no paid OpenPipe plan and no feature paywall.

• https://art.openpipe.ai/fundamentals/art-backend.md recorded 2026-08-09

  Documents two interchangeable backend classes on the same client code: ServerlessBackend "train remotely on autoscaling GPUs" and LocalBackend "run your agent and training code on the same machine" — no capability described as exclusive to either.