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LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks

120 upvotes · 3 AUG 2026 · Ziyu Ma, Hailang Huang, Shun Zou et al.

This paper proposes a framework, LongHorizon-Harness, to help large language model agents tackle long-horizon tasks by explicitly tracking task states and verifying facts from the environment. Practitioners might care because it can improve the performance of these agents on real-world tasks.

long-horizon agentstask-state managementcontinual learningreinforcement learningbenchmarks