AI agent management tools emerge with Codex security and Herdr terminal

New tools and management frameworks are emerging to handle the complexities of AI agents in development environments. OpenAI’s Codex allows users to execute commands and file searches locally, necessitating robust security measures. Administrators can manage Codex using Role-Based Access Control (RBAC), specific requirements, and managed defaults, alongside sandbox functions to restrict network and file access.

Complementing the need for agent management, Herdr has been released as a runtime environment that allows developers to oversee multiple AI agents, such as Claude Code and Codex, from a single terminal. Herdr provides visual status indicators—yellow for working, red for requiring input, and black for idle—to help users track various agents simultaneously. It also enables inter-agent collaboration, allowing one agent to instruct another through integrated skills. Users have noted its advantages over traditional tools like tmux due to its mouse-driven interface and specialized status tracking for AI workflows.