Show HN: Task Manager for AI Agents (MCP, Opensource)
A human-in-the-loop, self-learning, closed-loop task manager for agents, supporting Gemini CLI and Claude code, with a supervisor MCP controlling worker agents.
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Product Positioning & Context
AI Executive Synthesis
A human-in-the-loop, self-learning, closed-loop task manager for agents, supporting Gemini CLI and Claude code, with a supervisor MCP controlling worker 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.
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.In high level it comes with one supervisor MCP that controls workspaces(worker agents) and unlimited number of isolated workspace MCPs (self learning agents).Each workspace/agent has a mission/persona for the agent. And self-learning-loop note.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.Currently it supports Gemini CLI and Claude code. I am going to extend support all major agents soon.Happy to answer any questions.
human-in-the-loop
self learning closed loop task manager
supervisor MCP
worker agents
isolated workspace MCPs
self-learning-loop
Gemini CLI
Claude code
Related Ecosystem & Alternatives
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Deep-Dive FAQs
What is Task Manager for AI Agents (MCP, Opensource)?
Task Manager for AI Agents (MCP, Opensource) is analyzed by our AI as: A human-in-the-loop, self-learning, closed-loop task manager for agents, supporting Gemini CLI and Claude code, with a supervisor MCP controlling worker agents.. It focuses on AgentRQ addresses a critical emerging pain point in enterprise AI: managing and orchestrating autonomous agents. The 'human-in-the-loop' and 'self-...
Where did Task Manager for AI Agents (MCP, Opensource) originate?
Data for Task Manager for AI Agents (MCP, Opensource) was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Task Manager for AI Agents (MCP, Opensource) publicly launched?
The initial public indexing or launch date for Task Manager for AI Agents (MCP, Opensource) within our tracked developer communities was recorded on April 30, 2026.
How popular is Task Manager for AI Agents (MCP, Opensource)?
Task Manager for AI Agents (MCP, Opensource) has achieved measurable traction, logging over 6 traction score and facilitating 2 recorded discussions or engagements.
Which technical categories define Task Manager for AI Agents (MCP, Opensource)?
Based on metadata extraction, Task Manager for AI Agents (MCP, Opensource) is categorized under topics such as: human-in-the-loop, self learning closed loop task manager, supervisor MCP, worker agents.
What are some commercial alternatives to Task Manager for AI Agents (MCP, Opensource)?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as SigmaMind MCP, which offers overlapping value propositions.
How does the creator describe Task Manager for AI Agents (MCP, Opensource)?
The original author or development team describes the product as follows: "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.In high leve..."
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Discovery Source

Hacker News
Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
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Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.