Basic Slack Agent

Minimal Slack bot with SQLite session persistence and @mention replies

Part of the Slack interface examples. Follow the setup guide.

Code

basic.py
from agno.agent import Agent
from agno.db.sqlite.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.os.app import AgentOS
from agno.os.interfaces.slack import Slack

agent_db = SqliteDb(session_table="agent_sessions", db_file="tmp/persistent_memory.db")

basic_agent = Agent(
    name="Basic Agent",
    model=OpenAIChat(id="gpt-5.4-mini"),
    db=agent_db,
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
)

# Setup our AgentOS app
agent_os = AgentOS(
    agents=[basic_agent],
    interfaces=[
        Slack(
            agent=basic_agent,
            reply_to_mentions_only=True,  # The Agent will react only to messages mentioning it
        )
    ],
)
app = agent_os.get_app()


if __name__ == "__main__":
    agent_os.serve(app="basic:app", reload=True)

Usage

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Set Environment Variables

export SLACK_TOKEN=***
export SLACK_SIGNING_SECRET=***
export OPENAI_API_KEY=***

Install Dependencies

uv pip install -U "agno[os,slack]" openai

Run Example

python basic.py

Key Features

  • Mention-Only Replies: Responds only to @mentions in channels
  • Session Persistence: SQLite database stores conversation history across restarts
  • Conversation History: Last 3 interactions included in context