> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc-studio-tools-doc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent with Memory

## Code

```python cookbook/11_models/mistral/memory.py theme={null}
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

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Set your API key">
    ```bash theme={null}
    export MISTRAL_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U mistralai agno sqlalchemy psycopg pgvector
    ```
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/11_models/mistral/memory.py
    ```
  </Step>
</Steps>