Vision Arc

arXiv paper presents ARIA, a framework that learns to repair LLM multi-agent executions at runtime: An arXiv paper presents Agent Runtime Inspection and Amendment (ARIA), a framework for learning when and how to repair ongoing LLM-based multi-agent executions. It converts execution-verified repairs into reusable supervision, enabling a learned model to intervene at runtime rather than repeatedly testing alternatives.

AI Research • arXiv

Researchers present Praxa AI agent harness with 100% test pass rate: Researchers have presented Praxa, an agent harness designed to govern AI execution through deterministic admission, brokered execution, and reviewed promotion. In initial testing, the system passed 1,027 out of 1,027 unit tests and 89 out of 89 Workerd tests at a pinned revision.

Infrastructure • arXiv