Custom Memory Manager - Agno

This example shows how you can configure the Memory Manager. We also set custom system prompts for the memory manager. You can either override the entire system prompt or add additional instructions which is added to the end of the system prompt.

Code

custom_memory_manager.py

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.memory import MemoryManager
from agno.models.openai import OpenAIResponses
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=OpenAIResponses(id="gpt-5.2"),
    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=OpenAIResponses(id="gpt-5.2"),
    db=db,
    memory_manager=memory_manager,
    update_memory_on_run=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)

Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

uv venv --python 3.12
.venv\Scripts\activate

2

Install dependencies

uv pip install -U agno

3

Run Example

python custom_memory_manager.py