🎯 Subsystem Deep Dive

coordinator/

📁 coordinator/ 📄 6 files

Tutorial: coordinator

This project transforms the AI into a Coordinator, a high-level manager that orchestrates software tasks by delegating them to independent, asynchronous workers instead of executing them directly. It handles the complete lifecycle of these sub-agents (spawning, messaging, stopping) and interprets their results through a structured XML notification protocol, while dynamically managing the environment and tool availability based on the session's state.

flowchart TD A0["Coordinator Role"] A1["Worker Lifecycle Management"] A2["Task Notification Protocol"] A3["Dynamic Context Injection"] A4["Session State Synchronization"] A0 -->|"Delegates tasks via"| A1 A1 -->|"Reports status using"| A2 A2 -->|"Delivers updates to"| A0 A3 -->|"Supplies tool context to"| A0 A4 -->|"Determines active mode for"| A3

Chapters

  1. Coordinator Role
  2. Worker Lifecycle Management
  3. Task Notification Protocol
  4. Dynamic Context Injection
  5. Session State Synchronization

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Files in this section

01_coordinator_role.md
Chapter 1: Coordinator Role
Welcome to the Coordinator project! In this first chapter, we are going to explore the core philosophy behind this syst…
02_worker_lifecycle_management.md
Chapter 2: Worker Lifecycle Management
In the previous chapter, Coordinator Role, we introduced the Coordinator as a "Project Manager" who delegates work. Now…
03_task_notification_protocol.md
Chapter 3: Task Notification Protocol
Welcome to Chapter 3! In the previous chapter, Worker Lifecycle Management, we learned how the Coordinator acts like a…
04_dynamic_context_injection.md
Chapter 4: Dynamic Context Injection
Welcome to Chapter 4! In the previous chapter, Task Notification Protocol, we learned how workers report their results…
05_session_state_synchronization.md
Chapter 5: Session State Synchronization
Welcome to the final chapter of our Coordinator tutorial!