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To coordinate AI agent communication across multiple projects, you can use structured message passing with defined intent handling and thread management to ensure agents share information and collaborate effectively without human intervention.

Cross-project communication between AI agents supports three message kinds: 'heads-up' for proactive notifications, 'question' for inquiries, and 'fyi' for informational updates, each determining the message's intent and handling.

You send a message to another project's agent by specifying the target project, message kind, body text, and optional PR reference, using a structured command format like `/fno:mail send --to-project acme-web --kind heads-up --body "message" --ref-pr 112`.

Yes, AI agents maintain organized conversation threads for project coordination by creating a dedicated thread per message, ensuring clear and structured communication history for cross-project task tracking and information sharing.

Yes, cross-project AI agent message passing works without external dependencies, as the system operates independently to facilitate structured communication, intent handling, and thread management in multi-project environments.

Use structured message passing when you need defined intent handling, persistent thread management, and organized cross-project communication, rather than direct calls which lack conversation tracking and standardized message categorization for multi-agent collaboration.