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Group Chat lets you coordinate multiple AI agents in a single conversation. A moderator AI orchestrates the discussion, routing questions to the right agents and synthesizing their responses. Group chat

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When to Use Group Chat

  • Cross-project questions: “How does the frontend authentication relate to the backend API?”
  • Architecture discussions: Get perspectives from agents with different codebase contexts
  • Comparative analysis: “Compare the testing approach in these three repositories”
  • Knowledge synthesis: Combine expertise from specialized agents
  • Cross-machine collaboration: Coordinate agents running on different machines via SSH Remote Execution

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How It Works

  1. Create a Group Chat from the sidebar menu
  2. Add participants by @mentioning agent names (e.g., @Frontend, @Backend)
  3. Send your question - the moderator receives it first
  4. Moderator coordinates - routes to relevant agents via @mentions
  5. Agents respond - each agent works in their own project context
  6. Moderator synthesizes - combines responses into a coherent answer

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The Moderator’s Role

The moderator is an AI that controls the conversation flow:
  • Direct answers: For simple questions, the moderator responds directly
  • Delegation: For complex questions, @mentions the appropriate agents
  • Follow-up: If agent responses are incomplete, keeps asking until satisfied
  • Synthesis: Combines multiple agent perspectives into a final answer
The moderator won’t return to you until your question is properly answered — it will keep going back to agents as many times as needed.

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Example Conversation

You: "How does @Maestro relate to @RunMaestro.ai?"

Moderator: "Let me gather information from both projects.
            @Maestro @RunMaestro.ai - please explain your role in the ecosystem."

[Agents work in parallel...]

Maestro: "I'm the core Electron desktop app for AI orchestration..."

RunMaestro.ai: "I'm the marketing website and leaderboard..."

Moderator: "Here's how they relate:
            - Maestro is the desktop app (the product)
            - RunMaestro.ai is the website (discovery and community)
            - They share theme definitions for visual consistency

            Next steps: Would you like details on any specific integration?"

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Remote Agents in Group Chat

Group Chat works seamlessly with SSH Remote Execution. You can mix local and remote agents in the same conversation: Group Chat with Remote Agents Supported configurations:
  • Local moderator with remote participants
  • Remote moderator with local participants
  • Any mix of local and remote agents
  • Agents spread across multiple SSH hosts
Remote agents are identified by the REMOTE pill in the participant list. Each agent works in their own environment — the moderator coordinates across machines transparently. Use cases for remote Group Chat:
  • Compare implementations across development and production environments
  • Get perspectives from agents with access to different servers
  • Coordinate changes that span multiple machines
  • Synthesize information from agents with different tool installations

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Tips for Effective Group Chats

  • Name agents descriptively - Agent names appear in the chat, so “Frontend-React” is clearer than “Agent1”
  • Be specific in questions - The more context you provide, the better the moderator can route
  • @mention explicitly - You can direct questions to specific agents: “What does @Backend think?”
  • Let the moderator work - It may take multiple rounds for complex questions
  • Mix local and remote - Combine agents across machines for maximum coverage