InfoQ

How CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation

To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be ...
IEEE

Uncertainty-Aware Model-Based Multi-Agent Deep Reinforcement Learning for Robust Active Voltage Control

Abstract: The large-scale injection of new energy systems into active distribution networks (ADNs) has caused voltage violations, challenging the stable operation of power grids. Recently, deep ...
GitHub

An AI Agent with optional Human-in-the-Loop Safety, Model Context Protocol (MCP) integration, and beautiful, themeable CLI output

Agent Loop is a command-line AI assistant. It leverages Anthropic's Claude or OpenAI's GPT models and a suite of powerful tools to automate, inspect, and manage your development environment—while ...
GitHub

Multi-Agent Debate MCP Server

An MCP server implementation that enables structured multi-agent debates between different personas. This server allows multiple AI agents to engage in formal debates with arguments, rebuttals, and ...
IEEE

Artificial Intelligence-Based Modeling and Control Strategy for Dual Active Bridge Converter With Triple Phase Shift Modulation

Abstract: Dual active bridge (DAB) converter, known for its exceptional performance in bidirectional power transmission, has emerged as a crucial power conversion unit in energy storage systems and dc ...