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Google AI

docs/components/llms/models/google_AI.mdx

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To use the Gemini model, set the GOOGLE_API_KEY environment variable. You can obtain the Google/Gemini API key from Google AI Studio.

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.