Proactive Task Manager

Build a delegate system (not just a reminder bot):

• A bot that acts on your behalf, completes tasks using multiple agents, and remembers context forever using vector memory + long term storage.
• One interface to see tasks, plans, calendars, and resolutions in one bird’s eye dashboard.

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1. Use Cases

1.1. Task Execution

• Read pending todos from Google Tasks.
• Break complex tasks into subtasks and assign to internal agents.
• Execute repetitive actions like:
  • Send reminder messages
  • Create summary notes
  • Aggregate required data
  • Draft replies or content
  • Call APIs or update boards

1.2. Workspace Automation

Examples:

• Prepare summary before a call by reading last 10 chats.
• Make weekly review list and tag overdue tasks.
• Generate micro reports or dashboards for progress.

1.3. Smart Assistant Behaviors

• Translate vague thoughts into concise todos.
• Automatically prioritize based on urgency.
• Suggest possible next actions and execute on approval.

2. Key Integrations

• Telegram Bot (primary command interface)
• Read/write access to:
  • Google Tasks
  • Google Calendar (support multiple calendars)

Additional optional future support:

• Trello board comments as chat

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3. Memory System

You want infinite, long-context memory, so:

• Vector search + semantic memory: pgvector
• Relational/identity storage: PostgreSQL
• Embeddings + agents: OpenAI API
• Memory retrieval + conversation: chat threads, resolutions stored for recall.

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4. Multi-Agent Architecture

Agents operate with independent goals:

• Planning & scheduling agent
• Task execution agent
• Memory agent (write/recall context)
• Integration agent (Tasks + Calendar reading)

Suggested agent communication:

• Threaded approach (agent threads, like multi-agent pipelines)
• Task state stored in DB: pending, assigned, in-progress, resolved, failed.

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5. User Interface Requirements

Must-have:

• Dashboard showing:

  • All task lists from Google Tasks you subscribed to
  • Multiple calendars from Google Calendar
  • Task statuses from agents
  • Task resolutions with Open in chat button for old tasks
  • System-wide bird’s eye view

Avoid:

• Fancy UI dependency on Firebase (resolution UI looks plain, limited memory)
• Locking UI to Trello (UI may affect UX)
• Restricting only one platform.

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6. Settings / Control Panel

You planned settings like:

1. Connect Google Calendar
2. Connect Google Tasks
3. Add color codes + project context
4. Subscribe to specific task lists only
5. Enable proactive listening
6. Context injection per task list (instructions, tags, metadata)

8. High-Level System Flow

Telegram -> command -> agent orchestrator
        -> Integration agent reads Google Tasks/Calendar
        -> Execution agent decides action items
        -> Memory agent writes vector memory to pgvector (Postgres)
        -> Dashboard updates state + resolutions stored in DB
        -> User views or opens resolution in chat

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9. Tech Choices Justification

Component	Choice
Bot	Telegram
Calendar	Google Calendar (multi-calendar support)
Tasks	Google Tasks (list subscription filtering)
Memory	pgvector + PostgreSQL
Agents	OpenAI API
UI	Custom dashboard, not locked to Trello or Firebase

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10. Optional Enhancements Later

• AI suggestions on task priority
• Failure self-healing agents
• Notifications back to Telegram
• Trello comment chat fallback
• Long term analytics and task trends