1
Create a Python file
performance_with_memory.py
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"""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
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uv venv --python 3.12
source .venv/bin/activate
3
Install dependencies
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uv pip install -U openai agno memory_profiler
4
Export your OpenAI API key
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export OPENAI_API_KEY="your_openai_api_key_here"
5
Run Agent
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python performance_with_memory.py