Skip to main content
1

Create a Python file

performance_with_memory.py
"""Run `uv pip install openai agno memory_profiler` to install dependencies."""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIResponses

# Memory creation requires a db to be provided
db = SqliteDb(db_file="tmp/memory.db")


def run_agent():
    agent = Agent(
        model=OpenAIResponses(id="gpt-5.2"),
        system_message="Be concise, reply with one sentence.",
        db=db,
        update_memory_on_run=True,
    )

    response = agent.run("My name is Tom! I'm 25 years old and I live in New York.")
    print(f"Agent response: {response.content}")

    return response


response_with_memory_updates_perf = PerformanceEval(
    name="Memory Updates Performance",
    func=run_agent,
    num_iterations=5,
    warmup_runs=0,
)

if __name__ == "__main__":
    response_with_memory_updates_perf.run(print_results=True, print_summary=True)
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U openai agno memory_profiler
4

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python performance_with_memory.py