Unverified50% confidenceFactExact time
Long-horizon agent tasks generally refer to task sets that require a model to maintain goal consistency, remember context, and dynamically adjust strategies across dozens or even hundreds of interaction steps.
1
Sources
50%
Confidence
Long-term
Relevance
10/29/2026
First Seen
Sources
Gemini 4 Carbon Tops AI Benchmark, 72% Cheaper Than Leader
bilibiliAI自用君-瑞瑞10/29/2026
Related Entities
Related Claims
UnverifiedA long-horizon agent refers to an AI system that can autonomously decompose, plan, and execute multi-step tasks over extended time spans without continuous user intervention, maintaining persistent task state and memory while being capable of running asynchronously in the background77% similarUnverifiedThe 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.77% similarUnverifiedIn the agent context, long horizon capability usually means the model can maintain its original goal across dozens or even hundreds of steps, remember intermediate states, and recover from errors.76% similarUnverifiedLong-horizon workflows refer to complex tasks that require a model to complete over an extended time span across multiple steps and tool calls.75% similarVerifiedThe agent loop follows a 'reasoning-action-observation' paradigm, iterating repeatedly until the goal is achieved or a stopping condition is reached.75% similar
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