AgentRQ
Real-time task manager for human-AI agent collaboration
Visit agentrq.com ↗What is AgentRQ?
AgentRQ is a control platform that enables humans and AI agents to work together through shared task management. Built around the Model Context Protocol (MCP), it allows agents like Claude Code and other ACP-compatible tools to autonomously pull tasks, update statuses, request approvals, and communicate with human operators in real-time. The platform supports multiple agents running in parallel, each with its own isolated workspace.
Features include visual task boards with Kanban and list views, task scheduling with recurring cadences, event-driven workflows that chain workspaces together, tool call history with full transparency, and in-browser utilities like auto-title generation and speech-to-text transcription. Users can manage their agent fleet from a single dashboard or mobile device, with native Claude Code push notifications and support for 55+ ACP-compatible agents.
Momentum
Daily activity over the last 30 days: upvotes, unique visits, new GitHub stars and Hacker News points.
How do we know it's vibe coded?
vibetrend discovered AgentRQ automatically. Evidence: GitHub agentrq/agentrq; repo has AGENTS.md, CLAUDE.md. View source.
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