🏰✨
Disney Adventure! Andrew, Callie, Devin, Jacob, and Heather are going to Disney! 🎢🎉
🎆🎠

Overview

✅ Production Ready

A complete task management system that syncs with iCloud Reminders, built with the CTR (Clarify-Decompose-Refine) framework for AI agent coordination.

🗄️

SQLite Backend

Local database with full CTR framework implementation, audit trails, and dependency tracking.

☁️

iCloud Integration

Seamless sync to iCloud Reminders for cross-device access to your tasks.

🤖

Multi-Agent Support

Built for AI agents with session tracking and complete action audit trails.

🔄

External Sync

Framework supporting multiple external systems: iCloud, Google Tasks, Notion, and more.

Key Achievement

Successfully synced 7 tasks from a sample project to iCloud's "Family Time" reminder list.

⚠️ Critical Lesson: Use direct Python imports to iCloud MCP modules. Qwen's built-in MCP framework (ctx="native-icloud") always fails with "Not connected".

Architecture

System Diagram

Local Database

  • Projects
  • Phases
  • Tasks
  • Dependencies
↔️

Task Management

  • TaskAgent
  • SyncManager
  • CTR Framework
  • Conflict Resolution
↔️

iCloud Reminders

  • Reminder Lists
  • Reminders
  • Due Dates
  • Priorities

CTR Framework

Clarify

Define high-level projects with clear objectives and constraints.

  • Project name and description
  • Clear objective statement
  • Definition of done
  • Known constraints

Decompose

Break projects into phases and actionable tasks.

  • Phases: Level 1 work breakdown
  • Tasks: Specific, actionable items
  • Max 2 hours per task rule
  • Verb-object format enforcement

Refine

Validate, sequence, and track task execution.

  • Task validation rules
  • Dependency management
  • Progress tracking
  • Status management

Core Files

File Purpose
schema.sql Database schema with CTR framework
agent_helpers.py Task management library for AI agents
sync_helpers.py External sync framework
enhanced_sync_helpers.py Enhanced iCloud integration
complete_task_system.py Complete integration system

Getting Started

Prerequisites

  • Python 3.x
  • iCloud MCP Server at /Users/andrew/.mcp/native-icloud-mcp
  • macOS with Reminders app access

Quick Start

Creating a Project
from agent_helpers import TaskAgent

with TaskAgent(agent_name='claude-code') as agent:
    project_id = agent.create_project(
        name="My Awesome Project",
        objective="Build something amazing",
        definition_of_done="All features working and tested"
    )
Adding Tasks
task_ids = agent.add_tasks(project_id, [
    {
        'sequence': '1.1',
        'title': 'Create database design',
        'estimate_minutes': 90,
        'priority': 'high'
    },
    {
        'sequence': '1.2',
        'title': 'Implement API endpoints',
        'estimate_minutes': 120,
        'priority': 'high'
    }
], validate=True)  # Enforces CTR rules

iCloud Integration

How It Works

The system uses direct Python imports to access iCloud MCP modules, creating a FastMCP context for communication with iCloud.

💡 The Right Way:
sys.path.insert(0, '/Users/andrew/.mcp/native-icloud-mcp/src')
from native_icloud_mcp import reminders
from fastmcp import FastMCP, Context

mcp = FastMCP("unique-name")
ctx = Context(fastmcp=mcp)
result = asyncio.run(reminders.list_reminder_lists(ctx))
❌ The Wrong Way:
# NEVER use this - always fails
list_reminder_lists(ctx="native-icloud")

Syncing to iCloud

Sync Project to iCloud
from complete_task_system import iCloudTaskSyncSystem
import asyncio

async def sync_tasks():
    system = iCloudTaskSyncSystem()

    # List available lists
    lists = await system.list_available_lists()
    print(f"Available lists: {lists}")

    # Sync to a specific list
    success = await system.sync_project_to_icloud(
        project_id=1,
        list_name='Family Time'
    )
    return success

# Run the sync
asyncio.run(sync_tasks())

Task Mapping

Local Task Field iCloud Reminder Field
task.title reminder.title
task.description reminder.notes
task.priority reminder.priority (1=high, 5=medium, 9=low)
task.status reminder.completed

API Reference

TaskAgent

create_project(name, objective, definition_of_done, ...)

Creates a new project with CTR validation.

Returns: project_id (int)

add_tasks(project_id, tasks, validate=True)

Adds tasks to a project with optional CTR validation.

Returns: List of task IDs

update_task_status(task_id, status)

Updates task status: 'pending', 'in_progress', 'completed'.

Returns: None

SyncManager

register_external_system(system_id, name, system_type)

Registers an external system for synchronization.

Returns: None

sync_to_external(project_id, system_id)

Syncs a project to an external system.

Returns: Sync results dict

Database Queries

Common SQL Queries
-- View all projects
SELECT * FROM projects;

-- View tasks for a project
SELECT * FROM tasks
WHERE project_id = 1
ORDER BY sequence;

-- View project progress
SELECT * FROM project_progress;

-- View ready tasks (no unmet dependencies)
SELECT * FROM ready_tasks;

Future Plans

Owen Memory System 🧠

📋 Planned

18-day implementation plan for a sophisticated memory system:

  • Neo4j - Graph database for knowledge storage
  • Graphiti - Memory backend for AI agents
  • Ollama - Local embeddings (nomic-embed-text)
  • Schema-based classification - Automatic content categorization
  • Context pruning - Keep conversations under 50K tokens
  • Memory retrieval - Smart searching of past conversations

Status: Comprehensive planning complete, ready to start implementation

Phase 1: Core System

SQLite database with CTR framework

Completed

Phase 2: iCloud Integration

Sync to iCloud Reminders

Completed

Phase 3: Memory System

Neo4j + Graphiti implementation

Planned

Phase 4: Bidirectional Sync

Sync changes from iCloud to local

Future

Phase 5: Web Interface

Dashboard for task management

Future

Additional Enhancements

🔄 Real-time Updates

Continuous synchronization between local and cloud

⚡ Conflict Resolution

Handle concurrent modifications intelligently

🔌 More Integrations

Google Tasks, Notion, Linear, Asana

📊 Analytics

Task completion metrics and insights