A Multi-Agent AI System that autonomously manages meetings, inbox, reminders, and tasks β giving professionals back their precious time.
Workplace AI has evolved from passive chatbots to autonomous systems capable of reasoning, collaborating, and taking actions.
Schedulify explores this next phase β an AI Concierge that understands context, makes decisions, and automates workflows end-to-end instead of merely answering questions.
Modern professionals drown in:
- endless inbox threads
- scattered tasks
- manual scheduling
- forgettable reminders and deadlines
These repetitive chores silently waste hours every week, fragment focus, and reduce productivity.
Schedulify solves this by taking over administrative burden through an intelligent AI agentic workflow.
It can:
- summarize long inbox messages
- extract actionable tasks
- detect and store reminders
- check calendar availability & schedule meetings
- maintain structured action logs
By behaving like a reliable personal assistant that never forgets, Schedulify frees users to focus on high-impact work.
Schedulify is not a single assistant β it is a multi-agent collaboration system orchestrated to behave like a digital workforce.
| Agent | Capability |
|---|---|
| Summarization Agent | Condenses long inbox messages |
| Scheduling Agent | Checks availability, resolves conflicts, creates calendar events |
| Task Extraction Agent | Converts unstructured text into actionable to-do lists |
| Reminder Agent | Detects deadlines and creates reminders |
| Logging Agent | Maintains structured logs for full transparency |
Instead of rigid if-else workflows, Schedulify uses:
- Natural language understanding
- Multi-step LLM reasoning
- Tool-calling
- Shared memory and state continuity
This orchestration enables the system to adapt fluidly to messy, real-world conversations.
| Component | Technology |
|---|---|
| Programming Language | Python |
| LLM | Google Gemini (via Google ADK) |
| Agent Framework | Google ADK (Agent / Sequential / Parallel / Loop Agents) |
| Memory | InMemorySessionService |
| Tools | Inbox, Calendar, Reminder, Logging (Dummy Stores) |
| Architecture | Modular and extensible β ready for integration via MCP |
Schedulify is designed for real-world expansion:
- π Connect to Gmail / Outlook inbox
- π Sync with Google Calendar / MS Calendar
- π§Ύ Export reminders to task platforms (Notion, Todoist, ClickUp)
- π§ Multi-model agent teams with reasoning feedback loops
- π‘οΈ Enterprise-grade authentication and permissions
Schedulify demonstrates that AI Agents can manage workdays just like real virtual assistants β remembering context, collaborating across workflows, and taking autonomous actions.
This project serves as a blueprint for the next era of workplace automation β where AI becomes a proactive partner, not just a conversational bot.


