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hcom-agent-messaging

Coordinate multi-agent AI coding workflows via SQLite and hook-based messaging.

430|57|Updated Jul 21, 2025
Search Tags:#automation#workflow#collaboration#cli#multi-agent#orchestration
One-click install
npx skills add https://github.com/aannoo/hcom --skill hcom-agent-messaging-aannoo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hcom-agent-messaging
Source: https://github.com/aannoo/hcom/tree/main/skills/hcom-agent-messaging
Command: npx skills add https://github.com/aannoo/hcom --skill hcom-agent-messaging-aannoo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sqlite3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

AI coding agents running in separate terminals are isolated, making it difficult to coordinate complex tasks or share context. This skill bridges that gap by enabling real-time communication, observation, and lifecycle management between agents.

Core Features & Use Cases

  • Cross-Agent Communication: Agents can message each other, share transcripts, and bundle context for handoffs.
  • Lifecycle Management: Spawn, fork, resume, or kill agents across different terminal sessions.
  • Event-Driven Automation: Subscribe to agent status changes or file edits to trigger reactive workflows.
  • Use Case: Orchestrate a multi-agent pipeline where one agent acts as an architect to design a spec, while another agent implements the code in a sandboxed environment.

Quick Start

Use the hcom agent messaging skill to install the necessary hooks for your AI tools and start coordinating your 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 running in separate terminals?▼

Cross-agent communication for AI coding tools is achieved through a shared SQLite database and hook-based messaging system. This setup allows isolated agents to exchange messages, share transcripts, and bundle context for task handoffs.

Can I trigger automated workflows when an AI agent edits a file?▼

Yes, you can trigger automated workflows when an AI agent edits a file by subscribing to agent status changes or file edits. This event-driven automation supports reactive workflows like worker-reviewer loops and ensemble consensus.

Do I need a specific binary to enable multi-agent orchestration for AI coding tools?▼

Yes, multi-agent orchestration requires a local installation of the hcom binary and compatible AI coding CLI tools. The system uses these dependencies to manage agent lifecycles and complex workflows across different environments.

What is the best way to run a worker-reviewer loop across different AI environments?▼

The best way to run a worker-reviewer loop across heterogeneous AI environments is by using a shared SQLite database for multi-agent communication. This approach supports ensemble consensus, sequential pipelines, and cross-agent lifecycle management.

How do I manage the lifecycle of an AI coding agent in another terminal session?▼

You can manage the lifecycle of an AI coding agent across different terminal sessions using hook-based messaging. This allows you to spawn, fork, resume, or kill agents to orchestrate complex multi-agent pipelines.

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