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agentrq/agentrq

AgentRQ: Human-in-loop realtime conversational task manager for AI Agents

Before you install: no copy-paste command · license AGPL-3.0 · link reachable

First step: nothing runnable here yet - start from the repository: https://github.com/agentrq/agentrq

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
  "mcpServers": {
    "agentrq-agentrq": {
      "command": "npx",
      "args": ["-y", "@agentrq/agentrq-ws@latest"]
    }
  }
}

Parsed from the README we fetched on 2026-10-26; we have not executed it.

command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
  "servers": {
    "agentrq-agentrq": {
      "command": "npx",
      "args": ["-y", "@agentrq/agentrq-ws@latest"]
    }
  }
}
Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio agentrq-agentrq -- npx -y @agentrq/agentrq-ws@latest
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
Star count
1,192 ★ · agentrq/agentrq · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-10-24 · last seen 2026-11-14 · seen 25× · listed by 1 sources
Score
score 105 · 1,192 ★ · 1 sources · repo
Install
npx -y @agentrq/agentrq-ws@latest
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: npx -y @agentrq/agentrq-ws@latest. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository agentrq/agentrq;first catalogued 2026-10-24;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# AgentRQ ── Agent-Human Collaboration Platform

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

简体中文
AgentRQ is a modern, high-performance platform designed for seamless collaboration between human operators and AI agents. It leverages the Model Context Protocol (MCP) to allow AI models (like Claude) to interact directly with your workspace's task management system.
## 🚀 Overview
Think of AgentRQ as a shared workspace where humans and AI agents work together seamlessly. You can break down complex goals into manageable tasks, and delegate work directly to your AI agents.
Because agents "see" the workspace state via MCP, they can autonomously pull their assigned tasks, update statuses, request permissions for sensitive actions, and communicate with you—all synchronized instantly across the platform in real-time.
## ✨ Features
Animated sketches of the main features.
### Visual Task Board
Every task Claude creates appears instantly on your board. See what it's working on, what it needs, and what it just finished — all from a clean, fast dashboard you can open on any device, as a list or a Kanban.
### Task Scheduling
Give any task a launch date, or a recurring cadence — every 15 minutes, hourly, daily, weekly, custom days. A background poller ticks every minute and spawns the task the instant it's due, no server or agent needing to stay awake and wait.
### Events
Events are named signals — qapassed, deployfinished, blogpublished — that any task can fire when it completes. Wire one to a workspace and that workspace gets a new task automatically, no polling and no glue code.
### Workflows
A Workflow is Events and workspaces arranged on a graph. Drag a workspace onto an event to subscribe it; drag an event onto a workspace to emit it on completion. No decision-tree DSL, no YAML — just the shape of your release process, visible.
### Tool Call History
The task detail view's History tab lays out a lane-grouped timeline of every tool call and message in a run — Input, Agent, and Tools. Search it, click into any entry, and see exactly what ran, what it returned, and whether it was allowed or denied.
### Task Timeline
Under every task, a timeline shows each status it has been in and for how long: a dot per change, with the time spent on the line to the next, stretches waiting on you in yellow and blocked ones in red. Above it, the totals say which agent worked on it and for how long, how long it was blocked or waited for your input, and how long it took from start to close. Every status change is recorded with the task itself, so nothing moves without leaving a dot.
### Speech-to-Text
Click the mic on any task description or reply and dictate it instead. Transcription runs on an in-browser Whisper model — your voice is processed on-device and never uploaded anywhere.
### Message Send Delay
Give a workspace a countdown — 3s, 5s, 10s, 15s, 30s or 60s — and every chat message waits that long in the thread before it reaches the agent. Send Now delivers it early, Cancel pulls it back unsent and puts the exact text and attachments back in your composer. Off by default, per workspace.
### Search & Keyboard Shortcuts
⌘K ( Ctrl+K off macOS) opens a task finder that matches any word in a title or description, straight from the copy your device already saved — so it answers offline, and tells you how far it looked. Everything else is a bare letter: N for a new task, W and M to jump to a workspace or a machine, P for the Pano, C and T to flip between a task's chat and its trajectory, ? for the list. Nothing to configure, and nothing to memorise.
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Source
github · https://github.com/agentrq/agentrq
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