GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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 PyPISimilar 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.
Source: README excerpt (regex_v1, Sep 18, 2026)
conda create -n octo python=3.10Source 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.