Instructions file CodexOpenCode
Instructions for agentrq/agentrq, covering agentrq codebase notes, project layout, running tests, mcp server (backend/internal/controller/mcp/) and events (experimental).
Instructions file CodexOpenCode
Instructions for agentrq/agentrq, covering agentrq codebase notes, project layout, running tests, mcp server (backend/internal/controller/mcp/) and events (experimental).
Instructions file
Instructions for agentrq/agentrq, a project described as: 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.
agentrq/agentrq-claude-extension
Plugin Claude Code
Task manager for AI agents. Orchestrate multiple agents, trigger agentic flows with events on your desired language.
agentrq/agentrq-claude-extension
Plugin Claude Code
Workspace agent that executes tasks assigned by humans or supervisors, communicates progress via reply, and manages task lifecycle within a specific AgentRQ workspace.
agentrq/agentrq-claude-extension
Skill Claude CodeCodex
Execute tasks assigned by humans or supervisor agents within a specific AgentRQ workspace. Use when you receive channel messages or need to report progress on tasks.
agentrq/agentrq-claude-extension
Plugin Claude Code
Human-in-the-loop task supervisor for AI agents.
agentrq/agentrq-claude-extension
Skill Claude CodeCodex
Lead multiple agents to accomplish big tasks with specialized workspaces/agents by assigning tasks to specialized agents.
agentrq/agentrq-gemini-extension
Instructions file Gemini CLI
Instructions for agentrq/agentrq-gemini-extension: You are connected to the AgentRQ platform via the supervisor MCP server. You have access to manage workspaces, tasks, and communicate with human operators.
agentrq/agentrq-gemini-extension
Skill Claude CodeCodex
Learn creating, scheduling tasks, workspaces, and collaborating with human operators on the AgentRQ platform. Lead colony of AI agents using AgentRQ MCP tools.