Unverified50% confidenceOpinionExact time
The execution trajectories of long-horizon agents often span multiple stages, and different stages require different capabilities, making traditional fixed parameter configurations inadequate for dynamic tasks.
1
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50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
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Related Claims
UnverifiedA single execution-type agent exhibits three typical problems during long-running tasks: goal drift, shortcut-taking, and mid-task cessation76% similarUnverifiedStateful tool agents maintain persistent state across multi-turn interactions, with each tool call result written into the execution trajectory and influencing subsequent decisions, giving their errors a cascading effect.75% similarUnverifiedDedicated agents are more stable and controllable on specific tasks but have poor scalability, while general-purpose architectures can support multiple vastly different capabilities through the same mechanism but face the risk of task drift.74% similarUnverifiedAfter agents are successfully constrained to be on time, they still cannot utilize the extra time to improve task performance, often filling remaining time with repetitive actions.74% similarUnverifiedBackground long-horizon tasks involve engineering challenges such as task state persistence, multi-agent communication coordination, and exception handling and recovery mechanisms — issues that simple agents do not encounter.73% similar
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