---
title: "Building a Community Event Agent: Event Discovery, Registration, and Reminders"
description: "Build an AI agent that helps community members discover local events, register with capacity management, receive reminders, and get real-time updates for community organizations."
canonical: https://callsphere.ai/blog/building-community-event-agent-discovery-registration-reminders
category: "Learn Agentic AI"
tags: ["Community Events", "Event Management", "Nonprofit AI", "Agentic AI", "Python"]
author: "CallSphere Team"
published: 2026-03-17T00:00:00.000Z
updated: 2026-05-27T23:24:34.356Z
---

# Building a Community Event Agent: Event Discovery, Registration, and Reminders

> Build an AI agent that helps community members discover local events, register with capacity management, receive reminders, and get real-time updates for community organizations.

## Community Events Deserve Better Technology

Community organizations — neighborhood associations, cultural centers, recreation departments, and civic groups — host dozens of events each month. Yet most still rely on flyers, Facebook posts, and word of mouth. People miss events they would have loved because they did not hear about them in time, or they show up to events that are already at capacity.

An AI event agent solves this by maintaining a searchable event catalog, handling registrations with capacity limits, sending timely reminders, and providing real-time updates when events change.

## Event Data Model

Define the structures that represent events and registrations.

```mermaid
flowchart LR
    CALLER(["Donor or Volunteer"])
    subgraph TEL["Telephony"]
        SIP["Twilio SIP and PSTN"]
    end
    subgraph BRAIN["Nonprofit AI Agent"]
        STT["Streaming STT
Deepgram or Whisper"]
        NLU{"Intent and
Entity Extraction"}
        TOOLS["Tool Calls"]
        TTS["Streaming TTS
ElevenLabs or Rime"]
    end
    subgraph DATA["Live Data Plane"]
        CRM[("CRM and Notes")]
        CAL[("Calendar and
Schedule")]
        KB[("Knowledge Base
and Policies")]
    end
    subgraph OUT["Outcomes"]
        O1(["Donation pledge captured"])
        O2(["Volunteer slot booked"])
        O3(["Program lead handoff"])
    end
    CALLER --> SIP --> STT --> NLU
    NLU -->|Lookup| TOOLS
    TOOLS  CRM
    TOOLS  CAL
    TOOLS  KB
    NLU --> TTS --> SIP --> CALLER
    NLU -->|Resolved| O1
    NLU -->|Schedule| O2
    NLU -->|Escalate| O3
    style CALLER fill:#f1f5f9,stroke:#64748b,color:#0f172a
    style NLU fill:#4f46e5,stroke:#4338ca,color:#fff
    style O1 fill:#059669,stroke:#047857,color:#fff
    style O2 fill:#0ea5e9,stroke:#0369a1,color:#fff
    style O3 fill:#f59e0b,stroke:#d97706,color:#1f2937
```

```python
from dataclasses import dataclass, field
from datetime import datetime, date, time
from typing import Optional
from enum import Enum
from uuid import uuid4

class EventCategory(Enum):
    WORKSHOP = "workshop"
    FESTIVAL = "festival"
    MEETING = "meeting"
    FUNDRAISER = "fundraiser"
    SPORTS = "sports"
    ARTS = "arts"
    FAMILY = "family"
    HEALTH = "health"
    EDUCATION = "education"

class RegistrationStatus(Enum):
    CONFIRMED = "confirmed"
    WAITLISTED = "waitlisted"
    CANCELLED = "cancelled"

@dataclass
class CommunityEvent:
    event_id: str = field(default_factory=lambda: str(uuid4()))
    title: str = ""
    description: str = ""
    category: EventCategory = EventCategory.MEETING
    event_date: date = field(default_factory=date.today)
    start_time: time = field(default_factory=lambda: time(10, 0))
    end_time: time = field(default_factory=lambda: time(12, 0))
    location: str = ""
    organizer: str = ""
    capacity: int = 50
    registered_count: int = 0
    waitlist_count: int = 0
    is_free: bool = True
    cost: float = 0.0
    requires_registration: bool = True
    age_group: str = "All ages"
    is_cancelled: bool = False

@dataclass
class EventRegistration:
    registration_id: str = field(default_factory=lambda: str(uuid4()))
    event_id: str = ""
    attendee_name: str = ""
    attendee_email: str = ""
    attendee_phone: str = ""
    party_size: int = 1
    status: RegistrationStatus = RegistrationStatus.CONFIRMED
    registered_at: datetime = field(default_factory=datetime.utcnow)
    reminder_sent: bool = False
```

## Event Discovery Tool

Let community members search events by category, date range, or keywords.

```python
from agents import function_tool

events_db: list[CommunityEvent] = []
registrations_db: list[EventRegistration] = []

@function_tool
async def search_events(
    category: str = "all",
    date_from: str = "",
    date_to: str = "",
    keyword: str = "",
    age_group: str = "",
) -> dict:
    """Search for upcoming community events by category,
    date, keyword, or age group."""
    results = []
    today = date.today()

    for event in events_db:
        if event.is_cancelled:
            continue
        if event.event_date  date.fromisoformat(date_to):
            continue
        if keyword and keyword.lower() not in event.title.lower():
            continue

        results.append({
            "event_id": event.event_id,
            "title": event.title,
            "date": str(event.event_date),
            "time": f"{event.start_time.strftime('%I:%M %p')} - "
                    f"{event.end_time.strftime('%I:%M %p')}",
            "location": event.location,
            "spots_remaining": max(event.capacity - event.registered_count, 0),
            "is_free": event.is_free,
        })

    results.sort(key=lambda x: x["date"])
    return {"events": results, "total_found": len(results)}
```

## Registration with Capacity Management

The registration tool enforces capacity limits and manages a waitlist for popular events.

```python
@function_tool
async def register_for_event(
    event_id: str,
    attendee_name: str,
    attendee_email: str,
    attendee_phone: str = "",
    party_size: int = 1,
) -> dict:
    """Register an attendee for a community event with
    capacity enforcement and waitlist support."""
    event = None
    for e in events_db:
        if e.event_id == event_id:
            event = e
            break

    if not event:
        return {"error": "Event not found"}
    if event.is_cancelled:
        return {"error": "This event has been cancelled"}

    # Check for duplicate registration
    for reg in registrations_db:
        if (reg.event_id == event_id and
                reg.attendee_email == attendee_email and
                reg.status != RegistrationStatus.CANCELLED):
            return {
                "error": "Already registered for this event",
                "registration_id": reg.registration_id,
            }

    spots_available = event.capacity - event.registered_count
    if spots_available >= party_size:
        status = RegistrationStatus.CONFIRMED
        event.registered_count += party_size
    else:
        status = RegistrationStatus.WAITLISTED
        event.waitlist_count += party_size

    reg = EventRegistration(
        event_id=event_id,
        attendee_name=attendee_name,
        attendee_email=attendee_email,
        attendee_phone=attendee_phone,
        party_size=party_size,
        status=status,
    )
    registrations_db.append(reg)

    return {
        "status": status.value,
        "registration_id": reg.registration_id,
        "event": event.title,
        "date": str(event.event_date),
        "party_size": party_size,
        "message": "Confirmed! You are registered."
            if status == RegistrationStatus.CONFIRMED
            else f"Event is full. You are #{event.waitlist_count} "
                 f"on the waitlist.",
    }

@function_tool
async def send_event_reminder(event_id: str) -> dict:
    """Send reminders to all confirmed attendees for an event."""
    event = next((e for e in events_db if e.event_id == event_id), None)
    if not event:
        return {"error": "Event not found"}

    sent = 0
    for reg in registrations_db:
        if (reg.event_id == event_id and
                reg.status == RegistrationStatus.CONFIRMED and
                not reg.reminder_sent):
            reg.reminder_sent = True
            sent += 1

    return {"event": event.title, "reminders_sent": sent}
```

## Assembling the Community Event Agent

```python
from agents import Agent, Runner

event_agent = Agent(
    name="Community Event Agent",
    instructions="""You are a community event agent for the
Riverside Community Center. Your responsibilities:

1. Help people discover events by category, date, or interest
2. Register attendees with capacity enforcement
3. Manage waitlists when events are full
4. Send reminders before events
5. Provide event details including location and accessibility
6. For paid events, provide cost details before registration
7. If an event is cancelled, notify registered attendees
8. Suggest similar events when a requested one is full
9. Always confirm registration details before finalizing""",
    tools=[
        search_events,
        register_for_event,
        send_event_reminder,
    ],
)

result = Runner.run_sync(
    event_agent,
    "I am looking for family-friendly events this weekend. "
    "Ideally something outdoors or arts-related.",
)
print(result.final_output)
```

## FAQ

### How does the waitlist work when a spot opens up?

When a confirmed attendee cancels, the agent should automatically promote the first person on the waitlist to confirmed status. Implement a `cancel_registration` tool that decrements the event's registered count, finds the earliest waitlisted registration, updates its status to confirmed, and sends a notification to the promoted attendee.

### Can the agent handle recurring events like weekly meetups?

Yes. Add a `recurrence_rule` field to the event model (such as "weekly" or "first_saturday"). A scheduled job generates individual event instances from the rule. The agent then treats each instance as a separate event with its own capacity and registration list, while displaying the series name for context.

### How do you handle accessibility information for events?

Add an `accessibility` field to the event model that captures details like wheelchair access, sign language interpretation, and sensory-friendly accommodations. The search tool can filter by accessibility features, and the agent proactively mentions accessibility information when providing event details.

---

#CommunityEvents #EventManagement #NonprofitAI #AgenticAI #Python #LearnAI #AIEngineering

---

Source: https://callsphere.ai/blog/building-community-event-agent-discovery-registration-reminders
