Code
custom_memory_manager.py
Usage
1
Create a virtual environment
Open the
Terminal and create a python virtual environment.2
Install libraries
3
Run Example
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.memory import MemoryManager
from agno.models.openai import OpenAIChat
from rich.pretty import pprint
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)
# You can also override the entire `system_message` for the memory manager
memory_manager = MemoryManager(
model=OpenAIChat(id="gpt-5-mini"),
additional_instructions="""
IMPORTANT: Don't store any memories about the user's name. Just say "The User" instead of referencing the user's name.
""",
db=db,
)
john_doe_id = "john_doe@example.com"
agent = Agent(
model=OpenAIChat(id="gpt-5-mini"),
db=db,
memory_manager=memory_manager,
enable_user_memories=True,
user_id=john_doe_id,
)
agent.print_response(
"My name is John Doe and I like to swim and play soccer.", stream=True
)
agent.print_response("I dont like to swim", stream=True)
memories = agent.get_user_memories(user_id=john_doe_id)
print("John Doe's memories:")
pprint(memories)
Create a virtual environment
Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
python3 -m venv .venv
.venv/scripts/activate
Install libraries
pip install -U agno
Run Example
python cookbook/memory/04_custom_memory_manager.py
python cookbook/memory/04_custom_memory_manager.py