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The Slack interface turns any Agno agent, team, or workflow into an interactive Slack app with streaming task cards, suggested prompts, and thread-based sessions.

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Quick Start

slack_agent.py
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.os.app import AgentOS
from agno.os.interfaces.slack import Slack

agent = Agent(name="Assistant", model=OpenAIResponses(id="gpt-5.4"))

agent_os = AgentOS(
    agents=[agent],
    interfaces=[Slack(agent=agent)],
)
app = agent_os.get_app()

uv pip install 'agno[slack]'
python -m agno.os.serve slack_agent:app --port 7777

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How It Works

ConceptBehavior
ThreadsEach Slack thread is a separate session with its own history
StreamingResponses stream as live task cards with tool calls visible
@mentionsBy default, responds to @mentions in channels and all DMs
FilesUsers can send files; agents can upload responses

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Setup

Requires a Slack App with OAuth scopes and event subscriptions. See the setup guide for step-by-step instructions. Environment variables: 
export SLACK_TOKEN="xoxb-..."
export SLACK_SIGNING_SECRET="..."

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Next Steps

Full Guide

Sessions, files, SlackTools, multi-instance, and troubleshooting.

Reference

All parameters, scopes, endpoints, and events.

Examples

14 examples: teams, workflows, streaming, multimodal.

SlackTools

Give agents messaging, search, and file capabilities.