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Description
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:
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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
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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:
- TodoAI-Protocol (Starting Development)
- Issue [ROADMAP] TodoAI-OS Development Phases #2: Task Specification Language
- Issue [DOCS] TodoAI Ecosystem Quick Reference #3: Execution Semantics
- Issue [META] TodoAI Ecosystem Overview - How Everything Connects #4: Agent Interaction Model
- Defines how tasks are specified, executed, completed
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:
- TodoAI-Agents (Starting Development)
- Issue [VISION] TodoAI Operating System - Task-Based Computing Paradigm #1: Core Agent Framework
- Issue [ROADMAP] TodoAI-OS Development Phases #2: Example Script Executor
- Issue [DOCS] TodoAI Ecosystem Quick Reference #3: Sandbox Environment
- Agents claim and complete tasks autonomously
Layer 5: Developer Tools
Building on TodoAI:
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TodoAI-SDK (Future Development)
- Libraries for multiple languages
- Task creation utilities
- Agent development kit
- Testing frameworks
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TodoAI-Examples (Ongoing)
- Sample tasks and workflows
- Agent implementations
- Integration patterns
Layer 6: Integrations
Connecting to existing systems:
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TodoAI-Todoist (Active)
- MCP server for Todoist sync
- Preserves existing workflows
- Bridge to task management
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Future Integrations
- Calendar systems
- Email platforms
- File storage
- Communication tools
📊 Development Tracking
Active Project Boards
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- Overall progress tracking
- Cross-repository milestones
- Strategic planning
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- Protocol specification work
- Language design decisions
- Version management
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- Agent framework development
- Example implementations
- Security considerations
🔄 How Components Interact
Task Flow Example
- User types in TodoAI-Notepad: "Order pizza for dinner"
- Protocol parses this into structured task format
- Runtime receives task and finds capable agents
- Agent (PizzaOrderAgent) claims the task
- Sandbox executes agent with proper security
- Agent completes order via restaurant API
- Runtime reports completion back to user
- Notepad shows ✓ with order confirmation
Data Flow
🚀 Getting Started Paths
For Different Audiences
End Users
- Start: TodoAI-Todoist-Notepad
- Learn: Natural task syntax
- Benefit: Enhanced productivity
Developers
- Start: TodoAI-Protocol specs
- Build: Custom agents
- Contribute: Examples
Contributors
- Start: This overview
- Pick: Area of interest
- Engage: GitHub issues
Researchers
- Start: Vision documents
- Explore: Novel computing paradigms
- 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
-
Immediate (This month)
- Complete Protocol v0.1 specification
- Build first working agent
- Implement notepad annotations
-
Short-term (3 months)
- Runtime prototype
- 5+ example agents
- Developer documentation
-
Medium-term (6 months)
- Agent marketplace design
- Performance optimization
- Community building
-
Long-term (1+ years)
- Industry adoption
- OS-level integration
- Hardware optimization
🤝 How to Contribute
- Pick a Layer: Choose your area of interest
- Find Issues: Look for "good first issue" labels
- Join Discussion: Comment on relevant issues
- Submit PRs: Follow contribution guidelines
- 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