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-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)

Usage

1. Set up your virtual environment

   Mac

   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
   

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