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

# memanto answer

> Get AI-powered answers grounded in the active agent's memories.

# memanto answer

Get AI-powered answers grounded in the active agent's memories.

```bash theme={null}
memanto answer QUESTION [OPTIONS]
```

**Arguments:**

* `QUESTION` - Question to answer (required)

**Options:**

* `-n, --limit INTEGER` - Number of context memories to use (default: server-configured `ANSWER_LIMIT`)

Temperature and model selection are configured server-side; the CLI does not expose `--temperature` or `--ai-model` flags.

<Snippet file="temperature.mdx" />

## Available Models

<Snippet file="available-models.mdx" />

**Examples:**

Simple question:

```bash theme={null}
memanto answer "How should we communicate?"
```

With custom limit:

```bash theme={null}
memanto answer "What's the customer's profile?" --limit 20
```

**Output:**

```
Based on your memories:

The customer prefers email communication and is in the PST timezone.
You should send email during business hours PST (8am-5pm).
The customer appreciates concise responses, so keep communications brief.
```
