Show HN: Task Manager for AI Agents (MCP, Opensource) (github.com)

AgentRQ has launched as an open-source platform designed to enhance collaboration between human operators and AI agents through the innovative Model Context Protocol (MCP). This tool allows users to create customizable workspaces, manage tasks, and delegate work to AI agents that can interact in real-time with a task management system. The platform’s architecture includes a Fiber-based REST API for task management, an integrated MCP server for tool exposure, and a comprehensive Supervisor server that oversees task management and statistical insights across multiple workspaces. The significance of AgentRQ lies in its ability to streamline human-AI interactions, making AI agents more responsive and effective in handling tasks. By leveraging modern technologies such as Google OAuth2 for secure authentication and SSE for real-time updates, AgentRQ promises an enhanced user experience through a sleek, glassmorphism-designed UI. The capability for multi-workspace management and cohesive task oversight positions AgentRQ as a crucial development in the AI/ML community, enabling more efficient project environments and enhancing productivity through AI capabilities.