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Agent Comm Hub

A local multi-agent communication and orchestration middleware.

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: A local multi-agent communication and orchestration middleware.
Full Skill content: https://321skill.com/skills/agent-comm-hub-x-10/raw/index.md
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This Skill addresses the challenges of real-time communication, context sharing, and task orchestration among multiple AI agents. In practical development, when multiple AI agents need to collaborate on complex tasks (such as code generation, testing, and deployment), they often operate in isolation, unable to form effective cooperation. Agent Comm Hub provides a standardized communication layer based on the MCP protocol, enabling bidirectional messaging, memory synchronization, and task orchestration between agents. It comes with 58 built-in MCP tools and a web management panel, significantly lowering the development barrier for multi-agent systems.

Usage is straightforward: simply start the Hub server and connect your AI agents (e.g., Claude, Hermes, WorkBuddy) via the MCP stdio or HTTP-SSE protocol. You can then use natural language commands to register agents, send messages, assign tasks, and query statuses. For example, you can instruct Agent A to send a message to Agent B; Agent B will receive it, process it automatically, and reply—all with a latency under 50 milliseconds. The system also includes a heartbeat mechanism to maintain online status, automatically caches offline messages, and supports advanced features like file attachments, context staging, and task lifecycle management.

It is ideal for teams or individuals who need to coordinate multiple AI agents, especially developers already using multiple AI coding agents (like Claude Code, Cursor, Trae) but want them to communicate, share context, and collaborate on projects. It is also suitable for building automated workflows, multi-agent simulations, and experiments in agent competition/cooperation. Project managers can use it to assign tasks and track progress, while operations engineers can monitor the status of multiple agents.

We recommend using this tool as the unified communication hub when setting up a multi-agent collaboration system. Note that it primarily relies on a local SQLite database for storage, making it suitable for small to medium-scale deployments. If the number of agents exceeds 50 or message throughput is extremely high, a distributed storage solution may be necessary. Additionally, an invitation code is required for first-time use to ensure environmental security.

Key Features

Unlike frameworks such as AutoGen or CrewAI, Agent Comm Hub provides a standardized tool interface based on the MCP (Model Context Protocol), supporting both stdio and SSE modes with latency under 50ms. It includes 58 reusable MCP tools (e.g., for messaging, tasks, files, memory) and comes with a web management panel, ready to use out-of-the-box without requiring additional agent communication code.

Limitations

The current version (v3.0.22) relies on local SQLite (WAL mode) storage and is designed for single-machine deployment. It supports up to approximately 50 concurrent agents; message throughput exceeding 1000 messages per second may require scaling the storage layer. Additionally, agents must support the MCP protocol (stdio or HTTP-SSE) to connect.

FAQ

How do I install Agent Comm Hub?

You can install it via the command `clawhub install agent-comm-hub`, or get detailed installation instructions from clawhub.ai/skills/agent-comm-hub.

Which AI models or agents are supported?

Any AI agent that supports the MCP protocol (stdio or HTTP-SSE) can connect, such as Claude, Hermes, WorkBuddy, QClaw, etc. Custom agents implementing an MCP client are also supported.

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-10/raw/index.md to read the original Skill definition (Markdown format) for Agent Comm Hub, and install it according to the instructions.