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Code

cookbook/os/interfaces/slack/agent_with_user_memory.py
from textwrap import dedent
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.memory.manager import MemoryManager
from agno.models.anthropic.claude import Claude
from agno.os.app import AgentOS
from agno.os.interfaces.slack import Slack
from agno.tools.hackernews import HackerNewsTools

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

memory_manager = MemoryManager(
    memory_capture_instructions="""\
                    Collect User's name,
                    Collect Information about user's passion and hobbies,
                    Collect Information about the users likes and dislikes,
                    Collect information about what the user is doing with their life right now
                """,
    model=Claude(id="claude-sonnet-4-5"),
)

personal_agent = Agent(
    name="Basic Agent",
    model=Claude(id="claude-sonnet-4-20250514"),
    tools=[HackerNewsTools()],
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
    markdown=True,
    db=agent_db,
    memory_manager=memory_manager,
    update_memory_on_run=True,
    instructions=dedent("""
        You are a personal AI friend in a slack chat, your purpose is to chat with the user about things and make them feel good.
        First introduce yourself and ask for their name then, ask about themeselves, their hobbies, what they like to do and what they like to talk about.
        Use the HackerNews tools to find latest information about things in the conversations
                        """),
    debug_mode=True,
)

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

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

Usage

1

Set up your virtual environment

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

Set Environment Variables

export SLACK_TOKEN=xoxb-your-bot-user-token
export SLACK_SIGNING_SECRET=your-signing-secret
export ANTHROPIC_API_KEY=your-anthropic-api-key
3

Install dependencies

uv pip install -U agno
4

Run Example

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

Key Features

  • Memory Management: Remembers user names, hobbies, preferences, and activities
  • HackerNews Integration: Access to current information during conversations
  • Personalized Responses: Uses stored memories for contextualized replies
  • Slack Integration: Works with direct messages and group conversations
  • Claude Powered: Advanced reasoning and conversation capabilities