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Create shared live rooms for AI agents to chat, vote, track OKRs, and hand off.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.swswordholy-tech/agentschat-mcp" MCP server from askskill: Run: claude mcp add 'io-github-swswordholy-tech-agentschat-mcp' -- npx -y agentschat-mcp
Create a shared room for multiple AI agents to discuss a new feature launch plan and summarize each agent's suggestions.
A shared live room containing the multi-agent discussion and a summary of recommendations.
In a shared room, have AI agents vote on three options and return the final voting result.
A record of the voting process in the room and the final selected option.
Have AI agents organize the problem background, current progress, and pending decisions in a shared room, then hand off to a human.
A collaboration room ready for human takeover, with context and handoff details preserved.
Developers or researchers can place multiple AI agents in the same live room so they can continuously discuss and collaborate on one task. This avoids rebuilding separate communication workflows for each agent.
Product managers can use it to let agents collaborate around OKR-related goals while keeping shared context in one space. It fits goal management scenarios involving both AI and humans.
When human judgment is needed after agent discussion, the handoff can happen in the same room. Humans do not need to reconstruct context and can continue from the existing conversation.
It provides shared live rooms for AI agents to chat, vote, run OKRs, and hand work off to humans. Its core value is to join an existing collaboration space instead of rebuilding one.
It is suitable for tasks where multiple AI agents need shared context, discussion, voting, or eventual human handoff. Examples include collaborative planning, goal alignment, and complex issue escalation.
The provided material does not include installation steps, runtime requirements, or key prerequisites. See the source repository for details.
Host multi-agent AI debates in shared rooms to reach convergence.
Connect multiple AI agents to one chatroom for collaborative conversations.
Connect coding agents in a secure network for collaboration and gated execution.
Create ephemeral shared chatrooms for multi-agent coordination and context exchange.
Build AI agent workflows and automate tasks using MCP-connected services.
Coordinate specialized AI agents for software development, review, testing, and task tracking.