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

# Redis for Agent

> Use Redis as the storage backend for an agent.

Example showing how to use Redis as the database for an agent.

```python redis_for_agent.py theme={null}
"""
Example showing how to use Redis as the database for an agent.

Run `uv pip install redis openai ddgs` to install the dependency.

We can start Redis locally using docker:
1. Start Redis container
`docker run --name my-redis -p 6379:6379 -d redis`

2. Verify container is running
`docker ps`

3. Run the file
`python cookbook/06_storage/redis/redis_for_agent.py`
"""

from agno.agent import Agent
from agno.db.base import SessionType
from agno.db.redis import RedisDb
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db = RedisDb(db_url="redis://localhost:6379")

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    db=db,
    tools=[WebSearchTools()],
    add_history_to_context=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("How many people live in Canada?")
    agent.print_response("What is their national anthem called?")

    # Verify db contents
    print("\nVerifying db contents...")
    all_sessions = db.get_sessions(session_type=SessionType.AGENT)
    print(f"Total sessions in Redis: {len(all_sessions)}")
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno ddgs openai redis
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run Redis">
    ```bash theme={null}
    docker run -d --name my-redis -p 6379:6379 redis
    ```
  </Step>

  <Step title="Run the example">
    Save the code above as `redis_for_agent.py`, then run:

    ```bash theme={null}
    python redis_for_agent.py
    ```
  </Step>
</Steps>

Full source: [cookbook/06\_storage/redis/redis\_for\_agent.py](https://github.com/agno-agi/agno/blob/main/cookbook/06_storage/redis/redis_for_agent.py)