Redis for Workflows

Agno supports using Redis as a storage backend for Workflows 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_workflow.py

"""
Run: `uv pip install openai httpx newspaper4k redis agno` to install the dependencies
"""
from agno.agent import Agent
from agno.db.redis import RedisDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow

# Define agents
hackernews_agent = Agent(
    name="Hackernews Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[HackerNewsTools()],
    role="Extract key insights and content from Hackernews posts",
)
web_agent = Agent(
    name="Web Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[HackerNewsTools()],
    role="Search the web for the latest news and trends",
)

# Define research team for complex analysis
research_team = Team(
    name="Research Team",
    members=[hackernews_agent, web_agent],
    instructions="Research tech topics from Hackernews and the web",
)

content_planner = Agent(
    name="Content Planner",
    model=OpenAIResponses(id="gpt-5.2"),
    instructions=[
        "Plan a content schedule over 4 weeks for the provided topic and research content",
        "Ensure that I have posts for 3 posts per week",
    ],
)

# Define steps
research_step = Step(
    name="Research Step",
    team=research_team,
)

content_planning_step = Step(
    name="Content Planning Step",
    agent=content_planner,
)

# Create and use workflow
if __name__ == "__main__":
    content_creation_workflow = Workflow(
        name="Content Creation Workflow",
        description="Automated content creation from blog posts to social media",
        db=RedisDb(
            session_table="workflow_session",
            db_url="redis://localhost:6379",
        ),
        steps=[research_step, content_planning_step],
    )
    content_creation_workflow.print_response(
        input="AI trends in 2024",
        markdown=True,
    )

Params

Parameter	Type	Default	Description
id	Optional[str]	-	The ID of the database instance. UUID by default.
redis_client	Optional[Redis]	-	Redis client instance to use. If not provided a new client will be created.
db_url	Optional[str]	-	Redis connection URL (e.g., "redis://localhost:6379/0" or "rediss://user:pass@host:port/db")
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.
traces_table	Optional[str]	-	Name of the table to store traces.
spans_table	Optional[str]	-	Name of the table to store spans.