Code
agents_share_memory.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.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from rich.pretty import pprint
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)
john_doe_id = "john_doe@example.com"
chat_agent = Agent(
model=OpenAIChat(id="gpt-5-mini"),
description="You are a helpful assistant that can chat with users",
db=db,
enable_user_memories=True,
)
chat_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,
)
chat_agent.print_response("What are my hobbies?", stream=True, user_id=john_doe_id)
research_agent = Agent(
model=OpenAIChat(id="gpt-5-mini"),
description="You are a research assistant that can help users with their research questions",
tools=[DuckDuckGoTools(cache_results=True)],
db=db,
enable_user_memories=True,
)
research_agent.print_response(
"I love asking questions about quantum computing. What is the latest news on quantum computing?",
stream=True,
user_id=john_doe_id,
)
memories = research_agent.get_user_memories(user_id=john_doe_id)
print("Memories about John Doe:")
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 rich
Run Example
python cookbook/memory/03_agents_share_memory.py
python cookbook/memory/03_agents_share_memory.py