> ## Documentation Index
> Fetch the complete documentation index at: https://docs.memobase.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Using Event Tags

Event tags are a powerful feature for automatically categorizing user events with semantic attributes. You can use them to enrich event data and track user behavior over time across various dimensions, such as:

* Emotion (`happy`, `frustrated`)
* Life Goals (`buying_a_house`, `learning_a_skill`)
* Relationships (`new_friend`, `family_mention`)

## Configuring Event Tags

By default, no event tags are recorded. You must define the tags you want to track in your `config.yaml` file:

```yaml config.yaml theme={null}
event_tags:
  - name: "emotion"
    description: "Records the user's current emotional state."
  - name: "romance"
    description: "Tracks any mention of romantic relationships or feelings."
```

Once configured, Memobase will automatically analyze interactions and apply these tags to events when relevant. The `description` field is crucial for helping the AI accurately understand when to apply each tag.

## Retrieving Event Tags

Event tags are returned as part of the event object when you retrieve a user's event history.

```python theme={null}
from memobase import MemoBaseClient

client = MemoBaseClient(project_url='YOUR_PROJECT_URL', api_key='YOUR_API_KEY')
user = client.get_user('some_user_id')

events = user.event()
for event in events:
    print(event.event_data.event_tags)
```

## Searching Events by Tag

You can search for events that have specific tags applied using the `search_event_by_tags` method.

```python theme={null}
from memobase import MemoBaseClient

client = MemoBaseClient(project_url='YOUR_PROJECT_URL', api_key='YOUR_API_KEY')
user = client.get_user('some_user_id')

# Find events with specific tags (AND condition)
events = user.search_event_by_tags(tags=["emotion", "romance"])
print(events)
```

For more details, see the [API Reference](/api-reference/events/search_events_by_tags).