agentrq
Active·★ 33·Updated 2026-05-28
★ Trending★ Workflow Automation★ API Integration
AgentRQ: Human-in-loop realtime conversational task manager for AI Agents.
AgentRQ is a platform for human-AI agent collaboration using the Model Context Protocol (MCP). It allows breaking down goals into tasks, delegating to AI agents, and real-time synchronization. The platform includes a backend (Go/Fiber), frontend (Vue.js), and various integrations for Claude, Gemini, and OpenAI Codex.
#acp-client#acp-gateway#agentic-ai#agentic-workflow#agents#mcp#mcp-server#mcp-servers
01
Features
01Seamless human-AI agent collaboration
02Real-time synchronization via SSE
03MCP-based integration with AI models (Claude, Gemini, Codex)
04Task management with status updates and permissions
05Multi-workspace supervision with CoreMCP
02
Compatibility
Claude Code
Claude Code
Verified via docs
Gemini CLI
Gemini CLI
Verified via docs
OpenAI Codex
OpenAI Codex
Verified via docs
03
Quick start
1
$ make install
2
$ make dev
04
Use cases
↳Human-AI task delegation and collaboration
↳Automated task management with AI agents
↳Integrating AI assistants into project workflows
05
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Comments
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- HHarley HarrisMay 15, 2026
Task state is clear, easy to see what agents are working on and why.
- Justice RiveraMay 8, 2026
Human-in-loop task management for AI agents is the right safety model.
- FFinley AndersonMay 3, 2026
Good for high-stakes automation where you want approval checkpoints.
- HHarper AndersonFeb 28, 2026
Real-time conversational interface keeps humans informed without blocking agent progress.