Code

cookbook/agent_concepts/memory/01_builtin_memory.py
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from rich.pretty import pprint

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    # Set add_history_to_messages=true to add the previous chat history to the messages sent to the Model.
    add_history_to_messages=True,
    # Number of historical responses to add to the messages.
    num_history_responses=3,
    description="You are a helpful assistant that always responds in a polite, upbeat and positive manner.",
)

# -*- Create a run
agent.print_response("Share a 2 sentence horror story", stream=True)
# -*- Print the messages in the memory
pprint([m.model_dump(include={"role", "content"}) for m in agent.memory.messages])

# -*- Ask a follow up question that continues the conversation
agent.print_response("What was my first message?", stream=True)
# -*- Print the messages in the memory
pprint([m.model_dump(include={"role", "content"}) for m in agent.memory.messages])

Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.

2

Set your API key

export OPENAI_API_KEY=xxx
3

Install libraries

pip install -U openai sqlalchemy agno
4

Run Agent