AI Maestro Agent Management Create, manage, and orchestrate multiple AI agents through a unified CLI. Handles the full agent lifecycle: create, hibernate, wake, rename, export/import, and plugin management. Part of the AI Maestro suite. Prerequisites Requires AI Maestro running locally with tmux 3.0+.

Install the CLI

git clone https://github.com/23blocks-OS/ai-maestro-plugins.git cd ai-maestro-plugins && ./install-agent-cli.sh Core Commands Agent Lifecycle Command Description aimaestro-agent.sh list List all agents with status aimaestro-agent.sh show Detailed agent information aimaestro-agent.sh create --dir Create new agent aimaestro-agent.sh update --task "..." Update task/tags aimaestro-agent.sh delete --confirm Delete agent aimaestro-agent.sh rename Rename agent aimaestro-agent.sh hibernate Save state, free resources aimaestro-agent.sh wake Resume hibernated agent aimaestro-agent.sh restart Hibernate then wake Plugin Management Command Description aimaestro-agent.sh plugin install Install plugin aimaestro-agent.sh plugin uninstall Remove plugin aimaestro-agent.sh plugin list List installed plugins aimaestro-agent.sh plugin marketplace add Add marketplace Export/Import Command Description aimaestro-agent.sh export Export agent config aimaestro-agent.sh import Import agent from file Usage Examples

Create a backend API agent

aimaestro-agent.sh create backend-api \ --dir ~/projects/backend \ --task "Build REST API with TypeScript" \ --tags "api,typescript"

End of day -- save resources

aimaestro-agent.sh hibernate frontend-ui aimaestro-agent.sh hibernate data-processor

Resume next morning

aimaestro-agent.sh wake frontend-ui --attach

Install a plugin on an agent

aimaestro-agent.sh plugin install backend-api my-plugin

Backup before risky changes

aimaestro-agent.sh export backend-api -o backup.json Agent Statuses Status Meaning online Running in tmux session offline Registered but no active session hibernated Saved state, session killed Full AI Maestro Experience This skill is part of the AI Maestro platform, which provides 6 skills for AI agent orchestration: messaging, memory, docs, graph, planning, and agent management.