agentrq logo
agentrq
★ 1.2k
vs
mcp-graph-workflow logo
mcp-graph-workflow
★ 41

agentrq vs mcp-graph-workflow

agentrq: 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.; mcp-graph-workflow: A local-first CLI tool that converts product requirement documents (PRD) into structured task graphs with AI-powered context, semantic search, and multi-agent orchestration. It integrates with MCP clients like GitHub Copilot, Claude, and Cursor, offering a web dashboard, sprint planning, and token-efficient context compression.

01

TL;DR

agentrq logo
agentrqWorkflow Automation · ★ 1.2k

Human-AI task delegation and collaboration

mcp-graph-workflow logo
mcp-graph-workflowWorkflow Automation · ★ 41

AI Engineers: structured agentic workflows with token-efficient context

02

Side-by-Side Comparison

Field
agentrq logoagentrq
mcp-graph-workflow logomcp-graph-workflow
Category
Workflow Automation
Workflow Automation
Stars
★ 1.2k
★ 41
License
AGPL-3.0
MIT
Install Command
make install && make dev
npx -y @mcp-graph-workflow/mcp-graph
Updated
2d ago
5mo ago
Open Source
Yes
Yes
Tags
acp-client, acp-gateway, agentic-ai
agent-tooling, agentic-workflows, ai-tools
03

Features

agentrq logoagentrq
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
mcp-graph-workflow logomcp-graph-workflow
01PRD to Task Graph
02AI-Optimized Context with 70-85% token reduction
03Smart Task Routing via 'next' command
04Semantic Search + RAG (BM25, TF-IDF)
05Web Dashboard with interactive graph visualization
04

Use Cases

agentrq logoagentrq
↳Human-AI task delegation and collaboration
↳Automated task management with AI agents
↳Integrating AI assistants into project workflows
mcp-graph-workflow logomcp-graph-workflow
↳AI Engineers: structured agentic workflows with token-efficient context
↳Tech Leads: PRD decomposition into trackable, dependency-aware task graphs
↳Solo Developers: project planning with AI-powered suggestions and progress tracking
05

Best For

agentrq logoagentrq
Trending
mcp-graph-workflow logomcp-graph-workflow
—
FAQ

FAQ

What is the difference between agentrq and mcp-graph-workflow?
Both agentrq and mcp-graph-workflow are in the Workflow Automation category. agentrq has 1.2k stars, while mcp-graph-workflow has 41 stars.
Which is better, agentrq or mcp-graph-workflow?
The best choice depends on your use case. Choose agentrq if Human-AI task delegation and collaboration, and mcp-graph-workflow if AI Engineers: structured agentic workflows with token-efficient context.
Is agentrq free or open source?
Yes, agentrq is open source on GitHub (AGPL-3.0).
Is mcp-graph-workflow free or open source?
Yes, mcp-graph-workflow is open source on GitHub (MIT).
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