Agent Comm Hub
Multi-Agent Real-Time Communication and Context Sharing Hub
Install & Use
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Help me install this AI Skill: Agent Comm Hub. It is used for: Multi-Agent Real-Time Communication and Context Sharing Hub Full Skill content: https://321skill.com/skills/agent-comm-hub/raw/index.md Read that page and install it.
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This Skill addresses the pain points of isolated operations and the lack of unified communication and context sharing in multi-agent collaboration. In practical development, when multiple AI agents need to work together on complex tasks, they often face issues such as message delivery delays, context loss, and chaotic task orchestration, leading to inefficiency. Agent Comm Hub provides a locally run MCP protocol communication hub, enabling agents to communicate bidirectionally in real-time and automatically synchronize context, much like a human team.
Usage is straightforward: simply configure Agent Comm Hub as an MCP server in your MCP client (e.g., Claude, Cursor) to interact via its 58 MCP tools. Typical workflows include: registering an Agent identity, sending heartbeats to stay online, sending/receiving messages, assigning and tracking tasks, and storing/recalling shared memories. The system supports real-time event pushing via SSE with latency under 50ms, and messages are persisted to SQLite.
It is well-suited for teams or individuals needing to coordinate multiple AI coding agents, especially those already using the MCP protocol in their development workflows. Whether you are an agent developer, full-stack engineer, or project manager, you can leverage it to orchestrate sub-agents, assign tasks, synchronize progress, and even build Agent systems with evolutionary capabilities.
We recommend using this tool as the unified communication middleware when setting up a multi-agent collaboration environment. Note that it primarily relies on the MCP stdio mode for operation, requiring each Agent to connect as a subprocess; if using HTTP-SSE mode, additional network port configuration is needed. Furthermore, the 58 tools cover modules such as identity, messaging, files, tasks, and context—it is advisable to first familiarize yourself with the core tools before gradually expanding.
Key Features
Unlike common message queues (e.g., RabbitMQ), Agent Comm Hub is designed specifically for AI agents. Built on the MCP protocol, it natively supports JSON-RPC structured operations and SSE real-time push, and provides shared memory and an evolution engine, going beyond mere message forwarding.
Limitations
The current version v3.0.22 only supports local storage via SQLite WAL and does not offer distributed cluster deployment capabilities; Agents must send regular heartbeats (every 30 seconds) to stay online, and will automatically go offline after 90 seconds without a heartbeat.
FAQ
How do I connect to Agent Comm Hub?
Add the stdio or HTTP-SSE address pointing to your locally running Agent Comm Hub service in the MCP configuration of your MCP client (e.g., Claude, Cursor).
Which MCP tools are supported?
The current version exposes 58 MCP tools, including modules for identity management (6), messaging (5), files (3), tasks (3), context staging (5), and more. Please refer to the documentation for details.
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/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/raw/index.md