Mem0 enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. Mem0 remembers user preferences and traits and continuously updates over time, making it ideal for applications like customer support chatbots and AI assistants.

Mem0 + Keywords AI provides a powerful combination for building AI applications that can remember user interactions over time and get complete LLM observability.

Check out the Mem0 documentation for more information.

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Quick start

1

Create an API key

You should first create an API key on Keywords AI. Learn how to create a Keywords AI API key here.

2

from mem0 import Memory
from dotenv import load_dotenv

loaded = load_dotenv(".env", override=True)
print("loaded", loaded)
import os

api_key = os.getenv("MEM0_API_KEY")
keywordsai_api_key = os.getenv("KEYWORDSAI_API_KEY")
base_url = os.getenv("KEYWORDSAI_BASE_URL") # "https://api.keywordsai.co/api/"

config = {
    "llm": {
        "provider": "openai",
        "config": {
            "model": "gpt-4o-2024-08-06",
            "temperature": 0.0,
            "api_key": keywordsai_api_key,
            "openai_base_url": base_url,
        },
    }
}


m = Memory.from_config(config_dict=config)

result = m.add(
    "I like to take long walks on weekends.",
    user_id="alice",
    metadata={"category": "hobbies"},
)

print(result)
BAMLUsage dashboard