AgentHub Competition Lifecycle

Execute the full AgentHub competition lifecycle in a single command: initialize, capture baseline, spawn agents, evaluate results, and merge the winner.

Launch N parallel subagents in isolated git worktrees to compete on a session task.

Display DAG state, agent progress, and branch status for an AgentHub session.

Create a new AgentHub collaboration session with task, agent count, and evaluation criteria for multi-agent competitions.

Read, write, and browse the AgentHub message board for agent coordination. Use when the user runs /hub:board or asks to post, read, or inspect coordination messages between competing AgentHub agents.

Spawns multiple parallel AI agents that compete on the same task using isolated git worktrees, evaluates results, and merges the best solution.

Quick reference for the Agent Farm CLI, covering tower, dashboard, builder management, and configuration commands.