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

Usage

Run Redis

Install docker desktop and run Redis on port 6379 using:
docker run --name my-redis -p 6379:6379 -d redis
redis_for_team.py
"""
Run: `pip install openai ddgs newspaper4k lxml_html_clean agno redis` to install the dependencies
"""

from typing import List

from agno.agent import Agent
from agno.db.redis import RedisDb
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from pydantic import BaseModel

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


class Article(BaseModel):
    title: str
    summary: str
    reference_links: List[str]


hn_researcher = Agent(
    name="HackerNews Researcher",
    model=OpenAIChat("gpt-5-mini"),
    role="Gets top stories from hackernews.",
    tools=[HackerNewsTools()],
)

web_searcher = Agent(
    name="Web Searcher",
    model=OpenAIChat("gpt-5-mini"),
    role="Searches the web for information on a topic",
    tools=[DuckDuckGoTools()],
    add_datetime_to_context=True,
)


hn_team = Team(
    name="HackerNews Team",
    model=OpenAIChat("gpt-5-mini"),
    members=[hn_researcher, web_searcher],
    db=db,
    instructions=[
        "First, search hackernews for what the user is asking about.",
        "Then, ask the web searcher to search for each story to get more information.",
        "Finally, provide a thoughtful and engaging summary.",
    ],
    output_schema=Article,
    markdown=True,
    show_members_responses=True,
)

hn_team.print_response("Write an article about the top 2 stories on hackernews")

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