mem0/docs/components/llms/models/google_AI.mdx

---
title: Google AI
description: "Configure Google Gemini as an LLM provider in Mem0 using the google.genai SDK and GOOGLE_API_KEY variable."
---

To use the Gemini model, set the `GOOGLE_API_KEY` environment variable. You can obtain the Google/Gemini API key from [Google AI Studio](https://aistudio.google.com/app/apikey).

> **Note:** As of the latest release, Mem0 uses the new `google.genai` SDK instead of the deprecated `google.generativeai`. All message formatting and model interaction now use the updated `types` module from `google.genai`.

> **Note:** Some Gemini models are being deprecated and will retire soon. It is recommended to migrate to the latest stable models like `"gemini-2.0-flash-001"` or `"gemini-2.0-flash-lite-001"` to ensure ongoing support and improvements.

## Usage

<CodeGroup>
```python Python
import os
from mem0 import Memory

os.environ["OPENAI_API_KEY"] = "your-openai-api-key"  # Used for embedding model
os.environ["GOOGLE_API_KEY"] = "your-gemini-api-key"

config = {
    "llm": {
        "provider": "gemini",
        "config": {
            "model": "gemini-2.0-flash-001",
            "api_key": "your-gemini-api-key",
            "temperature": 0.2,
            "max_tokens": 2000,
            "top_p": 1.0
        }
    }
}

m = Memory.from_config(config)

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 thrillers, but I love sci-fi movies."},
    {"role": "assistant", "content": "Got it! I'll avoid thrillers and suggest sci-fi movies instead."}
]

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

```
```typescript TypeScript
import { Memory } from "mem0ai/oss";

const config = {
    llm: {
        // You can also use "google" as provider ( for backward compatibility )
        provider: "gemini",
        config: {
            model: "gemini-2.0-flash-001",
            apiKey: process.env.GOOGLE_API_KEY || '',
            temperature: 0.1
        }
    }
}

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 thrillers, but I love sci-fi movies." },
    { role: "assistant", content: "Got it! I'll avoid thrillers and suggest sci-fi movies instead." }
]

await memory.add(messages, { userId: "alice", metadata: { category: "movies" } });
```
</CodeGroup>

## Config

All available parameters for the `Gemini` config are present in [Master List of All Params in Config](../config).