> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Google AI

> 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 theme={null}
  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 theme={null}
  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).