---
format: "aidr-story-markdown/v1"
id: "392ca82e9bc90a02001709a72f31271ac5df5c8a3760776201f81a8c682a583c"
canonical_url: "https://aidr.today/392ca82e?lang=en"
title: "Nous Research Saves $2 Million Using 1,393 AI Agents to Cut 400,000 Lines of Code"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-09-16T02:58:12.000Z"
category: "Agents"
topics: ["nous-research","agent","multi-agent","coding","open-source"]
source_urls: ["https://huggingnews.com/ai/nous-research-saves-2-million-using-1393-ai-agents-to-cut-400000-lines-o-ec996c17","https://marketbrief.now/ai/nous-research-saves-2-million-using-1393-ai-agents-to-cut-400000-lines-o-ec996c17"]
summary: "Hermes Agent spent 19 hours cleaning up a million line Python codebase to reduce its overall size by 34.4%. The automated system deployed 1,393 subagents to re…"
---

# Nous Research Saves $2 Million Using 1,393 AI Agents to Cut 400,000 Lines of Code

> [Open the canonical story](<https://aidr.today/392ca82e?lang=en>)

**Published:** 2026-09-16T02:58:12.000Z
**Category:** Agents
**Topics:** nous\-research, agent, multi\-agent, coding, open\-source

## Summary

Hermes Agent spent 19 hours cleaning up a million line Python codebase to reduce its overall size by 34\.4%\. The automated system deployed 1,393 subagents to re…

## Sources

- [Story source](<https://huggingnews.com/ai/nous-research-saves-2-million-using-1393-ai-agents-to-cut-400000-lines-o-ec996c17>)
- [Story source](<https://marketbrief.now/ai/nous-research-saves-2-million-using-1393-ai-agents-to-cut-400000-lines-o-ec996c17>)