"""
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
)
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install Ollama
ollama pull qwen2.5:latest
Install libraries
pip install -U ollama agno sqlalchemy psycopg pgvector
Run Agent
python cookbook/models/ollama/memory.py