LongHorizon-Harness introduces Manage-Execute-Audit framework to prevent agent goal drift
LongHorizon-Harness is an open-source framework that improves autonomous agent reliability by replacing growing context windows with a Manage-Execute-Audit loop. The architecture separates task-state management from execution and auditing, yielding strong performance gains without model retraining.
Compounding errors and context saturation remain the primary bottlenecks for autonomous agents, making structural task-state management far more effective than simply expanding context windows.
• Replaces growing context windows with a modular Manage-Execute-Audit architecture to eliminate goal drift.
• Achieves performance improvements across agent benchmarks including WeaveBench, Terminal-Bench, and OSWorld 2.0 without model fine-tuning.
• Establishes an open-source evaluation and execution framework targeting real-world, long-horizon AI workflows.
DISCOVERED
46d ago
2026-08-04
PUBLISHED
46d ago
2026-08-04
RELEVANCE
AUTHOR
_akhaliq