> ## 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/vllm/memory.py theme={null}
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.vllm import VLLM
from agno.utils.pprint import pprint

# Change this if your Postgres container is running elsewhere
DB_URL = "postgresql+psycopg://ai:ai@localhost:5532/ai"

agent = Agent(
    model=VLLM(id="microsoft/Phi-3-mini-128k-instruct"),
    db=PostgresDb(db_url=DB_URL),
    update_memory_on_run=True,
    enable_session_summaries=True,
)

# -*- Share personal information
agent.print_response("My name is john billings", stream=True)
# -*- Print memories and summary
if agent.db:
    pprint(agent.get_user_memories(user_id="test_user"))
    pprint(
        agent.get_session(session_id="test_session").summary  # type: ignore
    )

# -*- Share personal information
agent.print_response("I live in nyc", stream=True)
# -*- Print memories and summary
if agent.db:
    pprint(agent.get_user_memories(user_id="test_user"))
    pprint(
        agent.get_session(session_id="test_session").summary  # type: ignore
    )

# -*- Share personal information
agent.print_response("I'm going to a concert tomorrow", stream=True)
# -*- Print memories and summary
if agent.db:
    pprint(agent.get_user_memories(user_id="test_user"))
    pprint(
        agent.get_session(session_id="test_session").summary  # type: ignore
    )

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

<Note>
  Ensure Postgres database is running.
</Note>

## Usage

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

  <Step title="Start Postgres database">
    ```bash theme={null}
    ./cookbook/scripts/run_pgvector.sh
    ```
  </Step>

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

  <Step title="Start vLLM server">
    ```bash theme={null}
    vllm serve microsoft/Phi-3-mini-128k-instruct \
        --dtype float32 \
        --enable-auto-tool-choice \
        --tool-call-parser pythonic
    ```
  </Step>

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