# Long Term Memory | Unreal Engine

#### Steps to enable long term memory

1. Select your character in the playground on the Convai website.
2. Go to the  **Memories Tab**, and then to **Memory Settings**. Enable **Long Term Memory**  for the character there.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXdi0A9NklIgt-d5Ftz4NWdHNXuSgCWNqofBPo6bpu50EC2AcLXiC_BnV8m1-FTQzk2Ob9_peusElQJlNaezDucB4y0gLnq5G4a2SVR9WOqmOngvAxw7_9GK4KtTmiaXxmI_rQ9y?key=E4IGNaHrJaNNjEd9PTsNBzqR" alt=""><figcaption></figcaption></figure>

#### Steps to setup LTM in Unreal Engine

1. Go to, **Project Settings -> Plugins -> Convai**. where you have set the API key.
2. There, click on the **Manage Speaker ID**. button under **Long Term Memory.** This will spawn an editor utility to create, delete, and list speaker ids.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXfVOObpWqcg0mMr5Rmp0Z-ZIgF4iHBIDE_MVR6SvrVroOd18JM3Y4hjhZ752jQXYV-dRRcAyzY9Vrulh1SfRMD1umwv8CseBgc8THwoBz2o7XReIgitWENsSmiLcy2UT4YhpWS6?key=E4IGNaHrJaNNjEd9PTsNBzqR" alt=""><figcaption></figcaption></figure>

3. If you have already created a Speaker ID, you can click **List All Speaker IDs**. Then, go to **Project Settings -> Plugins -> Convai**, and under **Long Term Memory**, you will find the Speaker IDs array. Copy the desired Speaker ID.
4. Now, go to the Player Blueprint and select the ConvaiPlayer component. In the details panel, you will find a Speaker ID field under the Convai category. Past the desired Speaker ID there.

<figure><img src="/files/V9FtCnGvV2PxzFslYvLm" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.convai.com/api-docs/plugins-and-integrations/unreal-engine/guides/long-term-memory.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.