agenthub

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 /hub:eval Rank agent results by metric or LLM judge /hub:merge Merge winning branch, archive losers /hub:board Read/write the agent message board /hub:run One-shot lifecycle: init → baseline → spawn → eval → merge Agent Templates When spawning with --template , agents follow a predefined iteration pattern: Show more