Code

cookbook/agent_concepts/memory/06_agent_creates_memories.py

from agno.agent.agent import Agent
from agno.memory.v2.db.sqlite import SqliteMemoryDb
from agno.memory.v2.memory import Memory
from agno.models.google.gemini import Gemini
from agno.storage.sqlite import SqliteStorage
from utils import print_chat_history

memory_db = SqliteMemoryDb(table_name="memory", db_file="tmp/memory.db")

memory = Memory(db=memory_db)

# Reset the memory for this example
memory.clear()

session_id = "session_1"
john_doe_id = "john_doe@example.com"

agent = Agent(
    model=Gemini(id="gemini-2.0-flash-exp"),
    memory=memory,
    storage=SqliteStorage(
        table_name="agent_sessions", db_file="tmp/persistent_memory.db"
    ),
    enable_user_memories=True,
)

agent.print_response(
    "My name is John Doe and I like to hike in the mountains on weekends.",
    stream=True,
    user_id=john_doe_id,
    session_id=session_id,
)

agent.print_response(
    "What are my hobbies?", stream=True, user_id=john_doe_id, session_id=session_id
)


# -*- Print the chat history
session_run = memory.runs[session_id][-1]
print_chat_history(session_run)

memories = memory.get_user_memories(user_id=john_doe_id)
print("John Doe's memories:")
for i, m in enumerate(memories):
    print(f"{i}: {m.memory}")

Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.

python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export GOOGLE_API_KEY=xxx
3

Install libraries

pip install -U agno google-generativeai
4

Run Example

python cookbook/agent_concepts/memory/06_agent_creates_memories.py