---
format: "aidr-story-markdown/v1"
id: "cdfa1b62cd35b609139f30b19cd4cbc53c2c7f7d46c64b785790b37217e82477"
canonical_url: "https://aidr.today/cdfa1b62?lang=en"
title: "Scaling Agentic Data for Long-Horizon Terminal Intelligence"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-13T00:00:00.000Z"
category: "Data"
topics: ["agent","data-engineering"]
source_urls: ["https://huggingface.co/papers/2610.13166"]
summary: "TerminalHorizon is introduced as a fully automated data synthesis engine for long-horizon terminal agents. It uses independent execution to identify key work omitted during construction and guides environment reconstruction based on the resulting evidence."
---

# Scaling Agentic Data for Long\-Horizon Terminal Intelligence

> [Open the canonical story](<https://aidr.today/cdfa1b62?lang=en>)

**Published:** 2026-10-13T00:00:00.000Z
**Category:** Data
**Topics:** agent, data\-engineering

## Summary

TerminalHorizon is introduced as a fully automated data synthesis engine for long\-horizon terminal agents\. It uses independent execution to identify key work omitted during construction and guides environment reconstruction based on the resulting evidence\.

## Sources

- [Story source](<https://huggingface.co/papers/2610.13166>)