A deep dive into the architecture and engineering principles behind always-on, persistent AI agents that can run autonomously for extended periods, covering context management, durable workflows, sub-agent orchestration, …
This paper introduces Agentic Variation Operators (AVO), which replace traditional evolutionary search operators with autonomous AI agents that can iteratively optimize code through self-directed exploration, achieving …
AutoResearch-RL presents a framework where reinforcement learning agents autonomously conduct neural architecture and hyperparameter research without human supervision, using PPO to optimize code modifications based on …
An autonomous offensive security agent discovered critical SQL injection vulnerabilities in McKinsey’s internal AI platform Lilli, gaining full database access to 46.5 million chat messages and compromising the …
DeepAnalyze: Autonomous Data Science Through Agentic Large Language Models DeepAnalyze-8B represents a breakthrough in autonomous data science, introducing the first agentic large language model capable of executing …
