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Show HN: Task Manager for AI Agents (MCP, Opensource)
AgentRQ is a (optionally) human-in-the-loop, self learning closed loop task manager for agents. Agents can create and schedule tasks for themself and work on them on their own schedule.<p>In high level it comes with one supervisor MCP that controls workspaces(worker agents) and unlimited number of isolated workspace MCPs (self learning agents).<p>Each workspace/agent has a mission/persona for the agent. And self-learning-loop note.<p>I am using it about 6 weeks in production, and completed more than 500 tasks. I just released the opensource version(as is in production) under Apache 2.0 license.<p>Currently it supports Gemini CLI and Claude code. I am going to extend support all major agents soon.<p>Happy to answer any questions.
AgentRQ capitalizes on the surging demand for AI agent orchestration and the emerging Model Context Protocol (MCP) standard, demonstrating practical utility with 500+ tasks completed. While the product addresses a critical need for human-in-the-loop agent management, it faces significant competition from well-funded frameworks and currently lacks external validation or a scaled team.