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Code

cookbook/models/ollama/memory.py
"""
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.ollama.chat import Ollama

# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)

agent = Agent(
    model=Ollama(id="qwen2.5:latest"),
    # Pass the database to the Agent
    db=db,
    # Enable user memories
    enable_user_memories=True,
    # Enable session summaries
    enable_session_summaries=True,
    # Show debug logs so, you can see the memory being created
)

# -*- Share personal information
agent.print_response("My name is john billings?", stream=True)

# -*- Share personal information
agent.print_response("I live in nyc?", stream=True)

# -*- Share personal information
agent.print_response("I'm going to a concert tomorrow?", stream=True)

# Ask about the conversation
agent.print_response(
    "What have we been talking about, do you know my name?", stream=True
)

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install Ollama

Follow the Ollama installation guide and run:
ollama pull qwen2.5:latest
3

Install libraries

pip install -U ollama agno sqlalchemy psycopg pgvector
4

Run Agent

python cookbook/models/ollama/memory.py