redis_for_agent.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run Redis
5
Run the example
Save the code above as
redis_for_agent.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Use Redis as the storage backend for an agent.
"""
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)}")
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno ddgs openai redis
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run Redis
docker run -d --name my-redis -p 6379:6379 redis
Run the example
redis_for_agent.py, then run:python redis_for_agent.py
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