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You can manage autonomous agents via a CLI by using commands to list, run, monitor, and stop operations across local and global scopes. This includes orchestrating loops, schedules, and viewing structured logs.

Automate task execution and monitoring for local agents by applying per-directory management commands. You can run agents, wait for completion, inspect status, and configure permissions directly from your terminal.

Yes, you can use CLI commands to schedule and loop agent workflows. The system supports both loop and schedule workflows, allowing continuous or timed task execution with comprehensive log outputs.

Agent orchestration via CLI supports worktrees and permission controls. You can manage isolated worktree environments and enforce specific permissions for individual agents during task execution.

The best way to inspect and view logs for running agents is using dedicated CLI commands. These commands provide structured output formats across multiple providers, allowing you to inspect agent status and access comprehensive logs.

You may be unable to manage global agents from a specific project directory if your scope is misconfigured. The CLI distinguishes between per-directory and global agent management, requiring correct scope targeting for operations.