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Code

cookbook/11_models/mistral/memory.py
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.mistral.mistral import MistralChat
from agno.tools.hackernews import HackerNewsTools

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
# Setup the database
db = PostgresDb(db_url=db_url)

agent = Agent(
    model=MistralChat(id="mistral-large-latest"),
    tools=[HackerNewsTools()],
    # Pass the database to the Agent
    db=db,
    # Enable user memories
    update_memory_on_run=True,
    # Enable session summaries
    enable_session_summaries=True,
    # Show debug logs so, you can see the memory being created
)

# -*- Share personal information
agent.print_response("My name is john billings?", stream=True)

# -*- Share personal information
agent.print_response("I live in nyc?", stream=True)

# -*- Share personal information
agent.print_response("I'm going to a concert tomorrow?", stream=True)

# -*- Make tool call
agent.print_response("What is the weather in nyc?", stream=True)

# Ask about the conversation
agent.print_response(
    "What have we been talking about, do you know my name?", stream=True
)

​
Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set your API key

export MISTRAL_API_KEY=xxx
3

Install dependencies

uv pip install -U mistralai agno sqlalchemy psycopg pgvector
4

Run Agent

python cookbook/11_models/mistral/memory.py