Learn how to evaluate performance when memory updates are involved.
"""Run `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 OpenAIChat
# Memory creation requires a db to be provided
db = SqliteDb(db_file="tmp/memory.db")
def run_agent():
agent = Agent(
model=OpenAIChat(id="gpt-5-mini"),
system_message="Be concise, reply with one sentence.",
db=db,
enable_user_memories=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)