Unverified60% confidenceFactExact time
Long-horizon agents need to maintain task state over timeframes of hours or even days, involving key technologies such as context window management, task decomposition and planning, and state persistence.
2
Sources
60%
Confidence
Long-term
Relevance
8/5/2026
First Seen
Sources
Related Claims
UnverifiedAn agent system capable of running stably for more than 36 hours has crossed the threshold from demonstration to production, and can take on real business processes such as continuous monitoring, long-horizon data analysis, and multi-stage project execution.78% similarUnverifiedManually walking through a moderately complex app may take 4–8 hours, while structured tools can compress the time to a few minutes.73% similarUnverifiedOpenAI reports that its systems can frequently complete R&D tasks that would take employees several days to handle.72% similarUnverifiedBeginners spend weeks comparing platforms, while veterans spend a few hours delivering a workflow that saves 5 hours per week.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/690302API
curl https://kongchang.com/api/v1/knowledge/claims/690302MCP
get_claim(id=690302)