Python SDK Quickstart

Get started with Memori in under 3 minutes using Python. No database setup required — just your Memori API key and your favorite LLM provider.

In this example, we'll use Memori with OpenAI. Check out our Integration guides for other LLM providers and frameworks.

Prerequisites

Step 1: Install Libraries

Install Memori and the OpenAI SDK:

Install Memori
pip install memori openai

Step 2: Set Environment Variables

Set your API keys as environment variables:

export MEMORI_API_KEY="your-memori-api-key"
export OPENAI_API_KEY="your-openai-api-key"

Step 3: Run Your First Memori Application

Create a new Python file quickstart.py and add the following code:

Setup & Configuration

Import libraries and initialize Memori with your API key and OpenAI client.

  • Memori reads your MEMORI_API_KEY from the environment automatically
  • llm.register() wraps your LLM client for automatic memory capture
  • attribution() links memories to a specific user and process
import os
from memori import Memori
from openai import OpenAI

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
mem = Memori().llm.register(client)
mem.attribution(entity_id="user_123", process_id="test-ai-agent")

First Conversation

Tell the LLM a fact about yourself. Memori automatically captures the conversation and processes it through Advanced Augmentation.

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "user", "content": "My favorite color is blue."}
    ]
)
print(response.choices[0].message.content + "\n")

Memory Recall

Create a completely new client and Memori instance — no prior context carried over. Memori automatically injects relevant facts via semantic search, so the second response should correctly recall your favorite color. This verifies recall from stored memories, not prior in-memory message history.

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

mem = Memori().llm.register(client)
mem.attribution(entity_id="user_123", process_id="test-ai-agent")

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "user", "content": "What's my favorite color?"}
    ]
)
print(response.choices[0].message.content + "\n")

Step 4: Run the Application

Execute your Python file:

python quickstart.py

You should see the AI respond to both questions, with the second response correctly recalling that your favorite color is blue!

Step 5: Check the Dashboard

Visit app.memorilabs.ai to see your memory usage and try the Graph Explorer to interact with your memories visually.