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[META] TodoAI Ecosystem Overview - How Everything Connects #4

@djdarcy

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@djdarcy

TodoAI Ecosystem Overview

This meta-issue provides a complete map of how all TodoAI components connect and work together.

🎯 The Big Picture

TodoAI is building a new computing paradigm where tasks replace files as the fundamental unit. This requires multiple interconnected components:

🏗️ System Architecture

Layer 1: User Interfaces

Where users interact with TodoAI:

  • TodoAI-Todoist-Notepad (Active Development)

    • Current: Natural text interface for Todoist
    • Issues: Todo-AI/TodoAI-Todoist-Notepad#20-27 (Annotation system)
    • Future: Evolves into TodoAI command line
  • Future Interfaces

    • TodoAI-CLI: Command line for task OS
    • TodoAI-Voice: Voice-driven task creation
    • TodoAI-Mobile: Native mobile experiences

Layer 2: Protocol & Language

The foundation of task-based computing:

Layer 3: Execution Engine

Where tasks come to life:

  • TodoAI-Runtime (Future Development)
    • Task scheduler and executor
    • Resource management
    • Agent orchestration
    • State persistence

Layer 4: Agent Ecosystem

AI-powered task completion:

Layer 5: Developer Tools

Building on TodoAI:

  • TodoAI-SDK (Future Development)

    • Libraries for multiple languages
    • Task creation utilities
    • Agent development kit
    • Testing frameworks
  • TodoAI-Examples (Ongoing)

    • Sample tasks and workflows
    • Agent implementations
    • Integration patterns

Layer 6: Integrations

Connecting to existing systems:

  • TodoAI-Todoist (Active)

    • MCP server for Todoist sync
    • Preserves existing workflows
    • Bridge to task management
  • Future Integrations

    • Calendar systems
    • Email platforms
    • File storage
    • Communication tools

📊 Development Tracking

Active Project Boards

  1. TodoAI-OS Vision Roadmap

    • Overall progress tracking
    • Cross-repository milestones
    • Strategic planning
  2. Protocol Development Board

    • Protocol specification work
    • Language design decisions
    • Version management
  3. Agent Ecosystem Board

    • Agent framework development
    • Example implementations
    • Security considerations

🔄 How Components Interact

Task Flow Example

  1. User types in TodoAI-Notepad: "Order pizza for dinner"
  2. Protocol parses this into structured task format
  3. Runtime receives task and finds capable agents
  4. Agent (PizzaOrderAgent) claims the task
  5. Sandbox executes agent with proper security
  6. Agent completes order via restaurant API
  7. Runtime reports completion back to user
  8. Notepad shows ✓ with order confirmation

Data Flow

🚀 Getting Started Paths

For Different Audiences

End Users

  1. Start: TodoAI-Todoist-Notepad
  2. Learn: Natural task syntax
  3. Benefit: Enhanced productivity

Developers

  1. Start: TodoAI-Protocol specs
  2. Build: Custom agents
  3. Contribute: Examples

Contributors

  1. Start: This overview
  2. Pick: Area of interest
  3. Engage: GitHub issues

Researchers

  1. Start: Vision documents
  2. Explore: Novel computing paradigms
  3. Propose: Improvements

📈 Progress Tracking

Current Phase: Foundation (0-6 months)

  • Organization structure created
  • Initial repositories setup
  • Vision documented
  • Protocol v0.1 spec (In Progress)
  • Agent framework (In Progress)
  • Notepad annotations (In Progress)

Key Dependencies

  • Protocol must be defined before Runtime
  • Agent framework needs Protocol spec
  • Examples require working Agents
  • SDK depends on stable Protocol

🔗 Essential Links

Documentation

Active Development

💡 The Path Forward

  1. Immediate (This month)

    • Complete Protocol v0.1 specification
    • Build first working agent
    • Implement notepad annotations
  2. Short-term (3 months)

    • Runtime prototype
    • 5+ example agents
    • Developer documentation
  3. Medium-term (6 months)

    • Agent marketplace design
    • Performance optimization
    • Community building
  4. Long-term (1+ years)

    • Industry adoption
    • OS-level integration
    • Hardware optimization

🤝 How to Contribute

  1. Pick a Layer: Choose your area of interest
  2. Find Issues: Look for "good first issue" labels
  3. Join Discussion: Comment on relevant issues
  4. Submit PRs: Follow contribution guidelines
  5. Share Ideas: Open new issues for suggestions

This is a living document. As the TodoAI ecosystem evolves, this overview will be updated to reflect the current state and connections between all components.

Last Updated: July 12, 2025

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