---
format: "aidr-story-markdown/v1"
id: "c8e047fecab2be06fb3282cf4f307e24a68e05315b3887d4fcb46b2dba77f229"
canonical_url: "https://aidr.today/c8e047fe?lang=en"
title: "CoworkOS:Scaling Agent Coworkers for Real-world Automation"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-03T00:00:00.000Z"
category: "Frameworks"
topics: ["agent","framework"]
source_urls: ["https://huggingface.co/papers/2611.03178"]
summary: "Rapid advances in cowork agents are shifting human-AI collaboration toward real-world automation. CoworkOS is introduced as a general-purpose harness for long-horizon work that separates task strategy from execution management."
---

# CoworkOS:Scaling Agent Coworkers for Real\-world Automation

> [Open the canonical story](<https://aidr.today/c8e047fe?lang=en>)

**Published:** 2026-11-03T00:00:00.000Z
**Category:** Frameworks
**Topics:** agent, framework

## Summary

Rapid advances in cowork agents are shifting human\-AI collaboration toward real\-world automation\. CoworkOS is introduced as a general\-purpose harness for long\-horizon work that separates task strategy from execution management\.

## Sources

- [Story source](<https://huggingface.co/papers/2611.03178>)