Basic Slack Agent

Create a basic AI agent that integrates with Slack for conversations

Code

cookbook/os/interfaces/slack/basic.py

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os 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=OpenAIResponses(id="gpt-5.2"),
    db=agent_db,
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
)

agent_os = AgentOS(
    agents=[basic_agent],
    interfaces=[Slack(agent=basic_agent)],
)
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
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Set Environment Variables

   export SLACK_TOKEN=xoxb-your-bot-user-token
   export SLACK_SIGNING_SECRET=your-signing-secret
   export OPENAI_API_KEY=your_openai_api_key
   
3. Install dependencies

   uv pip install -U agno
   
4. Run Example

   python cookbook/os/interfaces/slack/basic.py
   

Key Features

• Slack Integration: Responds to direct messages and channel mentions
• Conversation History: Maintains context with last 3 interactions
• Persistent Memory: SQLite database for session storage
• DateTime Context: Time-aware responses
• GPT-4o Powered: Intelligent conversational capabilities