ARIS: Multi-Agent Reliability Patterns
Source: arXiv:2605.03042 — ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration (Shanghai Jiao Tong University, May 2026) Core Premise Any long-term task performed by a single agent is unreliable. The failure mode ARIS solves isn’t “the agent crashes.” It’s plausible unsupported success — an agent produces a confident, coherent output that is subtly wrong, hallucinated, or unsupported by actual evidence. Three Architectural Layers 1. Execution Layer — 65+ modular “skills” encoded as plain Markdown files (SKILL.md). Each skill has: inputs, outputs, step-by-step procedures, quality gates, and failure-handling instructions. Skills exchange state via versioned plain-text artifact files (not in-memory or DB), enabling checkpoint-based recovery across sessions. ...