# agentrq

> agentrq — agentrq-agentrq. Use this tool when you need to manage conversational tasks in real-time, leveraging human oversight to optimize agent performance. AgentRQ solves problems related to inefficient task management, providing a streamlined interface for inputting tasks and receiving outputs in the form of completed conversations. Ideal for use cases requiring seamless human-agent collaboration, such as customer support or language translation, with integration capabilities via git.

Canonical page: https://skillsregistry.net/skills/agentrq-agentrq  
JSON: https://api.skillsregistry.net/v1/skills/agentrq-agentrq

## Description

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness with ACP support.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/agentrq/agentrq)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "agentrq-agentrq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agentrq-agentrq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agentrq-agentrq/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt