Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning
Long-horizon reasoning requires an agentic runtime that can persist when evidence supports its current approach and pivot when measurements reveal failure, hidden constraints, or a misspecified objective. We present Argus, a persistent, self-evolving runtime in which Manager, Planner, Engineer, and Reviewer execute bounded missions over durable project state. Argus separates stable user intent from operational objectives, constraints, and verification criteria, and admits memories, skills, proce
Record details
Published: 5 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 6 August 2026
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ethics.ai (5 August 2026), “Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning,” evidence record 16910, https://ethics.ai/record/16910 (originally published by arXiv cs.AI).
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