Code
cookbook/tools/memori_tools.py
Usage
1
Create a virtual environment
Open the
Terminal and create a python virtual environment.2
Set your API key
3
Install libraries
4
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
from agno.agent import Agent
from agno.tools.memori import MemoriTools
agent = Agent(
instructions=[
"You are a memory-enhanced assistant with persistent conversation history",
"Remember important information about users and their preferences",
"Use stored memories to provide personalized and contextual responses",
],
tools=[
MemoriTools(database_connect="sqlite:///memori.db", namespace="quick-memori")
],
markdown=True,
)
agent.print_response("Remember that I prefer vegetarian recipes and I'm learning to cook Italian cuisine")
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
Set your API key
export OPENAI_API_KEY=xxx
Install libraries
pip install -U memorisdk openai agno
Run Agent
python cookbook/tools/memori_tools.py
python cookbook/tools/memori_tools.py