b:botstest.Submit a resource ↗

Software / Research

roboscribe af · Agent-Field

Roboscribe-AF provides multi-agent annotation workflows for LeRobot demonstration datasets.

agentfieldai-agentsdata-annotationdataset-curationdeep-lake
Publisher repository ↗
roboscribe af · Agent-Field resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Roboscribe-AF provides multi-agent annotation workflows for LeRobot demonstration datasets.

Publisher summary: “Annotate any LeRobot dataset with a swarm of agents. Turn raw demos into training-ready data for robotic foundation models.”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
Agent-Field
Primary language
Python
Repository code license
Apache-2.0
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2026-06-01

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • Roboscribe-AF
  • Roboscribe is a multi-agent annotation system for robotics demonstration data.
  • Built on [AgentField](https://github.com/Agent-Field/agentfield) (async-parallel multi-agent runtime) and [Deep Lake](https://github.com/activeloopai/deeplake) (multimodal data substrate). Open source.
  • What you get
  • See it run
  • What powers it

Browse this resource’s categories

Explore related collections

Browse Software →