OpenEAI

Complete open-source hardware-software platform for real-world embodied AI from arm to VLA policy.

0.6K stars 0.0K forks BSD-3-Clause license 2026-06-04 verified

bash

# Clone both repositories
git clone https://github.com/eai-yeslab/OpenEAI-Arm
git clone https://github.com/eai-yeslab/OpenEAI-VLA
# Follow the hardware assembly guide and training recipe in each repo

Open sourceSelf-hosted

Overview

What is OpenEAI?

OpenEAI is a fully open-source hardware-software unified platform for real-world embodied manipulation. It consists of two repositories: OpenEAI-Arm, a low-cost 6-DoF desktop robotic arm with complete manufacturing files, and OpenEAI-VLA, an end-to-end vision-language-action policy trained with a two-stage recipe (large-scale pretraining + task-specific fine-tuning). The platform covers the full pipeline — hardware design, low-level control, data collection, dataset processing, VLA training, and real-time deployment.

End-to-end open-source pipeline from hardware to VLA

OpenEAI releases the complete stack: CAD files, manufacturing drawings, low-level C++ control, multi-modal teleoperation, dataset processing, two-stage VLA training, and real-time deployment.

Most embodied AI papers release only model weights or simulation code. OpenEAI lets anyone reproduce the full system.

Low-cost 6-DoF arm with 2kg payload

The OpenEAI-Arm is a desktop 6-DoF manipulator with 2kg payload capacity, significantly cheaper than Franka/UR arms while maintaining sufficient capability for VLA research.

Cost has been the primary barrier to entering real-world robotics research. OpenEAI's arm design is reproducible for a fraction of the cost of commercial alternatives.

Two-stage VLA training recipe

The VLA training pipeline uses large-scale pretraining on public robot datasets followed by task-specific fine-tuning with as few as 10-50 demonstrations.

This recipe addresses the data efficiency challenge — you get the benefits of large-scale pretraining without needing to collect millions of your own demonstrations.

Multi-modal teleoperation support

Supports GELLO (puppet), SpaceMouse (delta pose), and VR (absolute pose) teleoperation methods out of the box.

Different data collection scenarios require different teleoperation interfaces. OpenEAI covers the three most common modalities.

Install

One command to start

# Clone both repositories
git clone https://github.com/eai-yeslab/OpenEAI-Arm
git clone https://github.com/eai-yeslab/OpenEAI-VLA
# Follow the hardware assembly guide and training recipe in each repo

Use cases

What teams use it for

Reproducible VLA research

Use OpenEAI's complete pipeline to conduct VLA research on hardware that any other lab can reproduce, enabling verifiable and comparable results.

Teaching embodied AI from end to end

Build the arm, collect data, train a VLA policy, and deploy — all with open-source tools. A complete embodied AI curriculum in one platform.

Custom manipulation task development

Design a new manipulation task, collect demonstrations via VR teleoperation, fine-tune the VLA policy, and evaluate on real hardware — all within the OpenEAI framework.

Ecosystem

Tags & capabilities

botopen sourceroboticsopen sourceself hosted

Comparison

How it stacks up

Choose OpenEAI for the most complete open-source VLA pipeline

vs other open robot arms

AIRA and SO-100 provide excellent hardware but do not include a full VLA training pipeline. OpenEAI is the choice when you want hardware + training in one open-source platform.

FAQ

Questions

How much does OpenEAI-Arm cost?

The exact BOM cost is documented in the repository. It is designed to be significantly cheaper than Franka/UR arms while providing sufficient capability for VLA research.

Can I use OpenEAI-VLA without the OpenEAI-Arm hardware?

Yes, the VLA training pipeline works with any robot. Use the dataset adapters to convert your robot's data format and fine-tune the policy.

Is OpenEAI commercially usable?

OpenEAI is licensed under BSD 3-Clause, which permits commercial use with attribution.