hcom-agent-messaging

Coordinate AI coding agents across isolated terminals via SQLite message hooks.

Updated Jul 10, 2026
One-click install
npx skills add https://github.com/msoutole/hcom --skill hcom-agent-messaging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hcom-agent-messaging
Source: https://github.com/msoutole/hcom/tree/main/skills/hcom-agent-messaging
Command: npx skills add https://github.com/msoutole/hcom --skill hcom-agent-messaging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the isolation of AI coding agents running in separate terminals by providing a unified communication layer, allowing them to message, observe, and spawn each other in real-time.

Core Features & Use Cases

  • Multi-Agent Coordination: Enables complex workflows like worker-reviewer loops, ensemble consensus, and sequential pipelines across different AI tools.
  • Cross-Tool Interoperability: Bridges communication between diverse agents like Claude Code, Codex, Gemini, and others using a shared SQLite database.
  • Event-Driven Automation: Allows agents to subscribe to file edits, status changes, and terminal events to react autonomously to project activity.

Quick Start

Use the hcom agent messaging skill to launch a claude agent and send it a task to coordinate with other active agents.

Frequently Asked Questions about hcom-agent-messaging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multiple AI coding agents across different terminals?

You can coordinate multiple AI coding agents by using a shared SQLite database that enables real-time messaging, state synchronization, and cross-tool communication across isolated terminal environments.

Can I use this to set up worker-reviewer feedback loops with different AI tools?

Yes, it supports complex multi-agent topologies including worker-reviewer feedback loops, ensemble consensus, and sequential task pipelines across diverse AI tools like Claude Code, Codex, and Gemini.

How does event-driven automation work for multi-agent collaboration?

Event-driven automation allows AI agents to subscribe to file edits, status changes, and terminal events, enabling them to react autonomously to project activity through local SQLite hooks.

What's the best way to enable cross-tool interoperability between isolated coding agents?

The best way to enable cross-tool interoperability is to bridge communication between diverse agents using a unified local SQLite layer that handles message delivery and state synchronization.

Do I need any external dependencies to enable real-time messaging between AI agents?

No external dependencies are required; the skill implements a robust event-driven architecture entirely using local SQLite hooks to facilitate cross-tool message delivery and agent orchestration.