Redis

RedisDb stores Agent, Team, and Workflow sessions, memories, knowledge, evaluations, and traces in Redis.

Usage

Install the redis and openai packages:

uv pip install redis openai

Install Docker Desktop, then start Redis on port 6379:

docker run -d \
  --name my-redis \
  -p 6379:6379 \
  redis

redis_for_agent.py

from agno.agent import Agent
from agno.db.redis import RedisDb

db = RedisDb(db_url="redis://localhost:6379")
agent = Agent(db=db)

Parameter	Type	Default	Description
`id`	`Optional[str]`	-	The ID of the database instance. UUID by default.
`redis_client`	`Optional[Union[Redis, RedisCluster]]`	-	Redis client instance to use. If not provided a new client will be created from `db_url`. Required for Redis Cluster connections.
`db_url`	`Optional[str]`	-	Redis connection URL (e.g., "redis://localhost:6379/0" or "rediss://user:pass@host:port/db"). Supports single-node Redis only.
`db_prefix`	`str`	`"agno"`	Prefix for all Redis keys.
`expire`	`Optional[int]`	-	TTL for Redis keys in seconds.
`session_table`	`Optional[str]`	-	Name of the table to store sessions.
`memory_table`	`Optional[str]`	-	Name of the table to store memories.
`metrics_table`	`Optional[str]`	-	Name of the table to store metrics.
`eval_table`	`Optional[str]`	-	Name of the table to store evaluation runs.
`knowledge_table`	`Optional[str]`	-	Name of the table to store knowledge documents.
`culture_table`	`Optional[str]`	-	Name of the table to store cultural knowledge.
`traces_table`	`Optional[str]`	-	Name of the table to store traces.
`spans_table`	`Optional[str]`	-	Name of the table to store spans.