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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-4o"),
    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)

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Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set Environment Variables

export SLACK_TOKEN=***
export SLACK_SIGNING_SECRET=***
export OPENAI_API_KEY=***
3

Install Dependencies

uv pip install 'agno[slack]'
4

Run Example

python basic.py

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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