AI Maestro Agent Messaging
Enable communication between AI coding agents using AI Maestro's dual-channel messaging system.
Purpose
Agent-to-agent communication, NOT human-agent communication. Agents are identified by their agent ID or alias, with tmux session names as fallback.
Critical Understanding
YOU ARE AN AGENT - When the human says "check your messages":
- YOUR inbox = Messages addressed TO YOUR AGENT
- Check:
~/.aimaestro/messages/inbox/{your-agent-id}/ - These are messages TO you from any sender
- NOT the operator's inbox or other agent's inbox
Use Cases
- Send messages between agents
- Check your inbox
- Read messages addressed to you
- Notify other agents
- Inter-agent coordination
Part of the AI Maestro orchestration system for multi-agent collaboration.
Comments
No comments yet. Be the first to comment!
Related Tools
Dispatching Parallel Agents Skill
github.com/obra/superpowers
Dispatch multiple independent agents to work on unrelated tasks concurrently, maximizing efficiency.
Documentation Search Skill
github.com/23blocks-OS/ai-maestro
Proactively search auto-generated documentation before implementing - function signatures, API docs, class definitions.
Code Graph Query Skill
github.com/23blocks-OS/ai-maestro
Proactively query code graph database to understand relationships and impact of changes before modification.
Related Insights
Anthropic Subagent: The Multi-Agent Architecture Revolution
Deep dive into Anthropic multi-agent architecture design. Learn how Subagents break through context window limitations, achieve 90% performance improvements, and real-world applications in Claude Code.
Skills + Hooks + Plugins: How Anthropic Redefined AI Coding Tool Extensibility
An in-depth analysis of Claude Code's trinity architecture of Skills, Hooks, and Plugins. Explore why this design is more advanced than GitHub Copilot and Cursor, and how it redefines AI coding tool extensibility through open standards.
Complete Guide to Claude Skills - 10 Essential Skills Explained
Deep dive into Claude Skills extension mechanism, detailed introduction to ten core skills and Obsidian integration to help you build an efficient AI workflow