memori_integration.py
"""
Memori Integration
==================
Demonstrates conversational memory persistence with Memori and Agno.
"""
import os
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from dotenv import load_dotenv
from memori import Memori
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
load_dotenv()
db_path = os.getenv("DATABASE_PATH", "memori_agno.db")
engine = create_engine(f"sqlite:///{db_path}")
Session = sessionmaker(bind=engine)
model = OpenAIChat(id="gpt-5.2")
# Initialize Memori and register with LLM client
mem = Memori(conn=Session).llm.register(model.get_client())
mem.attribution(entity_id="cookbook-agent", process_id="demo-session")
mem.config.storage.build()
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=model,
instructions=[
"You are a helpful assistant.",
"Remember customer preferences and history from previous conversations.",
],
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
print("Customer: I'm a Python developer and I love building web applications")
response1 = agent.run("I'm a Python developer and I love building web applications")
print(f"Agent: {response1.content}\n")
print("Customer: What do you remember about my programming background?")
response2 = agent.run("What do you remember about my programming background?")
print(f"Agent: {response2.content}\n")
print("Customer: I prefer working in the morning hours, around 8-11 AM")
response3 = agent.run("I prefer working in the morning hours, around 8-11 AM")
print(f"Agent: {response3.content}\n")
print("Customer: What were my productivity preferences again?")
response4 = agent.run("What were my productivity preferences again?")
print(f"Agent: {response4.content}")
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno memori openai python-dotenv sqlalchemy
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
memori_integration.py, then run:python memori_integration.py