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octo

octo-models/octo

Transformer-based robot policy trained on 800k robot trajectories

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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1.8k stars280 forksLast push Jul 31, 2024 Python MIT

Decision brief

Octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations.

Good fit when

  • Use Octo when you need a transformer-based policy for robot control tasks that can leverage a large dataset of 800k robot trajectories.
  • Consider Octo if you are working on projects that require high-performance computing resources, as it supports GPU and TPU installations via Jax.

Avoid when

  • Avoid Octo if your project does not require the scale of data it was trained on, as the model might be overkill for smaller datasets.
  • Do not use Octo if you are working in an environment that does not support Python or the specific versions of Jax required for GPU and TPU support.
Requirements:
Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required.

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (779d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
54 low (54 low)
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install octo
PyPI

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Octo is a Python-based repository that provides a transformer-based robot policy trained on a large dataset of robot trajectories. It supports installation on CPU, GPU, and TPU, with detailed instructions for setting up the environment and dependencies, including Jax for GPU and TPU support.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Sep 18, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

conda create -n octo python=3.10
Source link

Tags

README

Installation For GPU: For TPU See the Jax Github page for more details on installing Jax. Test the installation by finetuning on the debug dataset:

For agents

This page has a .md twin and JSON over the API.

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