Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. R
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AgentHub — Multi-Agent Collaboration
Spawn N parallel AI agents that compete on the same task. Each agent works in an isolated git worktree. The coordinator evaluates results and merges the winner.
Slash Commands
Command
Description
/hub:init
Create a new collaboration session — task, agent count, eval criteria
/hub:spawn
Launch N parallel subagents in isolated worktrees
/hub:status
Show DAG state, agent progress, branch status
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[Description truncada. Veja o README completo no GitHub.]