Agent Comm Hub
Local Multi-Agent Communication and Orchestration Hub
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: Agent Comm Hub. It is used for: Local Multi-Agent Communication and Orchestration Hub Full Skill content: https://321skill.com/skills/agent-comm-hub-x-9/raw/index.md Read that page and install it.
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This Skill addresses the lack of unified communication and context sharing among multiple AI agents. In practical development, developers often need multiple independent AI Agents (e.g., coding assistants, testing agents, task coordinators) to collaborate. However, directly using the MCP protocol or building custom HTTP interfaces typically involves significant repetitive work and lacks capabilities like message persistence, permission management, and task orchestration. Agent Comm Hub provides 58 out-of-the-box MCP tools and a web management panel, making inter-agent communication as simple as calling a local function.
Usage is straightforward: simply start the Hub server locally (supporting stdio or HTTP-SSE mode), then have each Agent register with the Hub via the MCP protocol and maintain a heartbeat. Afterwards, you can use natural language instructions to have Agents send messages to each other, assign tasks, temporarily store shared context, query online status, and more. The Hub has a built-in SQLite WAL database, offers message latency under 50ms, and supports RBAC permission control to ensure secure communication.
It is ideal for teams or individuals requiring multi-agent collaboration, especially developers already using MCP clients like Claude or Cursor who want multiple AI agents to work together on complex tasks. For projects researching multi-agent systems, building automated workflows, or constructing AI Agent ecosystems, this Hub can significantly reduce integration costs and provide ready-to-use message routing, task orchestration, and shared memory capabilities.
It is recommended to uniformly adopt this tool when setting up a local multi-agent development environment, connecting all Agents to a single Hub to avoid fragmentation. Note that it currently only supports local or LAN-based stdio/HTTP-SSE communication and does not support cross-network remote connections. Additionally, it relies on a Node.js runtime environment, so ensuring server stability is crucial for maintaining heartbeats and message pushes.
Key Features
Compared to directly using the MCP protocol or building custom HTTP services, Agent Comm Hub provides 58 pre-built MCP tools and a web management panel, with built-in SQLite persistence, RBAC permissions, message deduplication, context staging, and an evolution engine—eliminating the need to implement communication infrastructure from scratch. In contrast, similar tools like MCP-Polyglot only offer basic protocol conversion and lack advanced features such as task orchestration and shared memory.
Limitations
Requires Node.js 18+ runtime environment; depends on MCP protocol clients (e.g., Claude Desktop); does not support cross-public-network remote communication; message persistence currently only supports SQLite (no alternatives like PostgreSQL are provided).
FAQ
How do I install Agent Comm Hub?
Install globally via npm: `npm install -g agent-comm-hub`, then run `agent-comm-hub start` to launch the service, or configure your MCP client's JSON file to connect via stdio mode.
How do I connect my AI Agent to this Hub?
Ensure your Agent supports the MCP protocol (e.g., Claude, Cursor). Add the Hub's address (stdio or HTTP-SSE) to your Agent's MCP configuration, then invoke the `register_agent` and `heartbeat` tools to register and maintain online status.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-comm-hub-x-9/raw/index.md to read the original Skill definition (Markdown format) for Agent Comm Hub, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-comm-hub-x-9/raw/index.md