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

Use Redis as the storage backend for an agent.

Run uv pip install redis ddgs openai to install dependencies.

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

Run `uv pip install redis ddgs openai` to install dependencies.

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
"""

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

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/06_storage/redis

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python redis_for_agent.py