---
title: "Show HN: Task Manager for AI Agents (MCP, Opensource)"
slug: "show-hn-task-manager-for-ai-agents-mcp-opensource"
date: 2026-04-30
category: community
tags: [anthropic, agents]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/show-hn-task-manager-for-ai-agents-mcp-opensource
---

# Show HN: Task Manager for AI Agents (MCP, Opensource)

**Published**: 2026-04-30 | **Category**: community | **Sources**: 1

---

## TL;DR

AgentRQ is an open-source, optionally human-in-the-loop, self-learning closed-loop task manager for AI agents.

---

## Summary

AgentRQ is an open-source, optionally human-in-the-loop, self-learning closed-loop task manager for AI agents. A supervisor MCP controls multiple isolated workspace MCPs, each with its own mission, persona, and self-learning note. Agents can create and schedule their own tasks, then work on them autonomously. The developer has run it in production for about six weeks and completed over 500 tasks. Released under Apache 2.0, it currently supports Gemini CLI and Claude Code, with broader agent support planned.

---

## Why it matters

AgentRQ is an open-source, optionally human-in-the-loop, self-learning closed-loop task manager for AI agents.

---

## Key Points

- AgentRQ is an open-source, optionally human-in-the-loop, self-learning closed-loop task manager for AI agents.
- A supervisor MCP controls multiple isolated workspace MCPs, each with its own mission, persona, and self-learning note.
- Agents can create and schedule their own tasks, then work on them autonomously.
- The developer has run it in production for about six weeks and completed over 500 tasks.
- Released under Apache 2.0, it currently supports Gemini CLI and Claude Code, with broader agent support planned.

---

## Nauti's Take

Nauti finds the concept genuinely interesting: an open-source supervisor MCP that lets workspace agents plan, learn, and execute on their own fills a real gap in the agent stack and gives self-hosters a clear advantage over proprietary platforms. The catch: self-learning closed loops without strict approval gates can get expensive in production, and 500 completed tasks isn't yet scale evidence. Useful for tinkerers and small teams — regulated setups will need extra guardrails.

---


## FAQ

**Q:** What is Show HN about?

**A:** AgentRQ is an open-source, optionally human-in-the-loop, self-learning closed-loop task manager for AI agents.

**Q:** Why does it matter?

**A:** AgentRQ is an open-source, optionally human-in-the-loop, self-learning closed-loop task manager for AI agents.

**Q:** What are the key takeaways?

**A:** AgentRQ is an open-source, optionally human-in-the-loop, self-learning closed-loop task manager for AI agents.. A supervisor MCP controls multiple isolated workspace MCPs, each with its own mission, persona, and self-learning note.. Agents can create and schedule their own tasks, then work on them autonomously.

---

## Related Topics

- [anthropic](https://news.ainauten.com/en/tag/anthropic)
- [agents](https://news.ainauten.com/en/tag/agents)

---

## Sources

- [Show HN: Task Manager for AI Agents (MCP, Opensource)](https://github.com/agentrq/agentrq) - Hacker News AI

---

## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

---

*Last Updated: 2026-04-30*