Agent with Memory

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.mistral.mistral import MistralChat
from agno.tools.duckduckgo import DuckDuckGoTools

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
# Setup the database
db = PostgresDb(db_url=db_url)

agent = Agent(
    model=MistralChat(id="mistral-large-latest"),
    tools=[DuckDuckGoTools()],
    # Pass the database to the Agent
    db=db,
    # Enable user memories
    enable_user_memories=True,
    # Enable session summaries
    enable_session_summaries=True,
    # Show debug logs so, you can see the memory being created
)

# -*- Share personal information
agent.print_response("My name is john billings?", stream=True)

# -*- Share personal information
agent.print_response("I live in nyc?", stream=True)

# -*- Share personal information
agent.print_response("I'm going to a concert tomorrow?", stream=True)

# -*- Make tool call
agent.print_response("What is the weather in nyc?", stream=True)

# Ask about the conversation
agent.print_response(
    "What have we been talking about, do you know my name?", stream=True
)