## Documentation Index

Fetch the complete documentation index at: [/llms.txt](https://docs.mem0.ai/llms.txt)

Use this file to discover all available pages before exploring further.

[xAI](https://x.ai/) is a new AI company founded by Elon Musk that develops large language models, including Grok. Grok is trained on real-time data from X (formerly Twitter) and aims to provide accurate, up-to-date responses with a touch of wit and humor. In order to use LLMs from xAI, go to their [platform](https://console.x.ai/) and get the API key. Set the API key as `XAI_API_KEY` environment variable to use the model as given below in the example. You can also optionally set `XAI_API_BASE` to use a different API endpoint (defaults to `https://api.x.ai/v1`).

## Usage

### Python

```
import os
from mem0 import Memory

os.environ["OPENAI_API_KEY"] = "your-api-key" # used for embedding model
os.environ["XAI_API_KEY"] = "your-api-key"

config = {
    "llm": {
        "provider": "xai",
        "config": {
            "model": "grok-4.3",
            "temperature": 0.1,
            "max_tokens": 2000,
        }
    }
}

m = Memory.from_config(config)
m.add(messages, user_id="alice", metadata={"category": "movies"})
```

### TypeScript

```
import { Memory } from 'mem0ai/oss';

const config = {
  llm: {
    provider: 'xai',
    config: {
      apiKey: process.env.XAI_API_KEY || '',
      model: 'grok-4.3',
      temperature: 0.1,
      maxTokens: 2000,
    },
  },
};
const memory = new Memory(config);
const messages = [
    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
    {"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
    {"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
    {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
];
await memory.add(messages, { userId: 'alice', metadata: { category: 'movies' } });
```

## Config

All available parameters for the `xai` config are present in [Master List of All Params in Config](https://docs.mem0.ai/components/llms/config).