AgentRQ is a real-time task management platform designed to facilitate human-in-the-loop collaboration with AI agents. The platform enables both agents and humans to assign tasks to each other, supporting a workflow where agents can escalate decisions, learn user preferences, and maintain ongoing communication without losing context. AgentRQ is built to work with Claude Code, Gemini, OpenAI Codex (via Codex app gateway), and other agents compatible with the ACP protocol, allowing users to manage multiple agents in parallel from a single dashboard.
The service features a conversational control plane UI, providing a dashboard where users can create tasks, reply to agents, and track every thread and decision. Each workspace is dedicated to a single agent, isolated with its own persona and mission, and receives a dedicated MCP endpoint for focused management. The platform integrates with MCP (Multi-Agent Control Plane) to orchestrate fleets of agents, and includes real-time notifications and a task board for tracking status such as ongoing, blocked, or not started tasks. Native push notifications are available for Claude Code users, and integration with Gemini CLI and ACP-compatible agents is supported through the ACP protocol and acp-gateway.
0 license. It is free to use during its beta period and does not require a credit card to get started. The platform is developed by Contextual, Inc. and aims to serve users who need to supervise, assign, and collaborate on tasks with autonomous AI agents while maintaining human oversight and input.
In the Autonomous agents & workflows space, AgentRQ takes a focused approach. It facilitates real-time collaboration and oversight between humans and autonomous AI agents for task management. It is built as a B2B product for teams using AI agents. AgentRQ costs nothing to use. AgentRQ is available on the web and the command line.
AgentRQ first shipped in 2026. Development happens publicly on GitHub with 650 stars and 318 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — AgentRQ occupies a relatively distinct niche. Key capabilities include task assignment, real-time collaboration, and MCP integration. It exposes integrations via an MCP server.
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