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agentrq

by agentrq · Go · ★ 721

View on GitHub ↗

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents.

#acp-client#acp-gateway#agentic-ai#agentic-workflow#agents#mcp#mcp-server#supervisor#task#task-manager#task-scheduler#todo

Install

go install github.com/agentrq/agentrq@latest

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars): 

{
  "mcpServers": {
    "agentrq": {
      "command": "npx",
      "args": [
        "-y",
        "github:agentrq/agentrq"
      ]
    }
  }
}

From the README

简体中文 Watch on YouTube in HD AgentRQ is a modern, high-performance platform designed for seamless collaboration between human operators and AI agents. It leverages the **Model Context Protocol (MCP)** to allow AI models (like Claude) to interact directly with your workspace's task management system. Think of AgentRQ as a shared workspace where humans and AI agents work together seamlessly. You can break down complex goals into manageable tasks, and delegate work directly to your AI agents. Because agents "see" the workspace state via MCP, they can autonomously pull…
Read full README on GitHub →

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