# Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets

DevFeed: [Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets](<https://devfeed.tech/articles/record-train-and-deploy-from-one-place-with-strands-agents-lerobot-and-hugging-face-storage-buckets-7093.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/amazon/strands-lerobot-streaming-data-loop>)

Author: Sundar Raghavan; Steven Palma; Cagatay Cali; Arron Bailiss; Yin Song

Published: 2026-08-13T17:16:04Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [lerobot](<https://devfeed.tech/topics/lerobot.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [apache](<https://devfeed.tech/tags/apache.md>), [aws](<https://devfeed.tech/tags/aws.md>), [cli](<https://devfeed.tech/tags/cli.md>), [code](<https://devfeed.tech/tags/code.md>), [data](<https://devfeed.tech/tags/data.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [lerobot](<https://devfeed.tech/tags/lerobot.md>), [models](<https://devfeed.tech/tags/models.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [robots](<https://devfeed.tech/tags/robots.md>), [storage](<https://devfeed.tech/tags/storage.md>), [strands-agents](<https://devfeed.tech/tags/strands-agents.md>), [train](<https://devfeed.tech/tags/train.md>), [xet](<https://devfeed.tech/tags/xet.md>)

## AI overview

This article describes a continuous robotics data loop using Strands Agents, LeRobot, Hugging Face Hub, and Hugging Face Storage Buckets. It covers recording demonstrations, collecting episodes, training policies on growing datasets, deploying checkpoints, and using mutable Xet-backed storage to reduce repeated data transfers.

## Source excerpt

Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets You have an agent that can already record a demonstration and push it to the Hugging Face Hub. Now you want to run that loop continuously: collect episodes through the day, train a policy on the growing dataset, deploy it, and pull the next batch back to improve it. Run that loop once and every piece works. Run it every day and you start paying for the same byte transfers over and over.