AgentRQ, an open-source task manager for AI agents.

AgentRQ addresses a critical emerging pain point in enterprise AI: managing and orchestrating autonomous agents. The 'human-in-the-loop' and 'self-learning closed loop' features are essential for ensuring control, safety, and continuous improvement in agentic workflows. The architecture with supervisor and worker MCPs reflects a scalable approach to deploying and managing multiple AI personas or missions. This open-source solution provides a foundational component for enterprises building complex AI systems, enabling structured task execution, accountability, and integration with major LLM providers. The production usage validates its utility for automating and scaling operational tasks, mitigating risks associated with fully autonomous AI.