Agno supports using Redis as a storage backend for Agents using the RedisDb class.

​
Usage

​
Run Redis

Install docker desktop and run Redis on port 6379 using: 
docker run -d \
  --name my-redis \
  -p 6379:6379 \
  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.duckduckgo import DuckDuckGoTools

# Initialize Redis db (use the right db_url for your setup)
db = RedisDb(db_url="redis://localhost:6379")

# Create agent with Redis db
agent = Agent(
    db=db,
    tools=[DuckDuckGoTools()],
    add_history_to_context=True,
)

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)}")

if all_sessions:
    print("\nSession details:")
    session = all_sessions[0]
    print(f"The stored session: {session}")

​
Params

ParameterTypeDefaultDescription
redis_clientOptional[Redis]-Redis client instance to use. If not provided a new client will be created.
db_urlOptional[str]-Redis connection URL (e.g., "redis://localhost:6379/0" or "rediss://user:pass@host:port/db")
db_prefixstr"agno"Prefix for all Redis keys.
expireOptional[int]-TTL for Redis keys in seconds.
session_tableOptional[str]-Name of the table to store sessions.
memory_tableOptional[str]-Name of the table to store memories.
metrics_tableOptional[str]-Name of the table to store metrics.
eval_tableOptional[str]-Name of the table to store evaluation runs.
knowledge_tableOptional[str]-Name of the table to store knowledge documents.

​
Developer Resources