Quickstart

Enable learning in your agents.

Enable Learning

The simplest way: set learning=True.

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=SqliteDb(db_file="tmp/agents.db"),
    learning=True,
)

This enables user profile and user memory extraction in Always mode. The agent automatically captures information and recalls it in future sessions.

Test It

# Session 1: Share information
agent.print_response(
    "Hi! I'm Sarah, I work at Acme Corp as a data scientist.",
    user_id="[e-mail]",
    session_id="session_1",
)

# Session 2: Agent remembers
agent.print_response(
    "What do you know about me?",
    user_id="[e-mail]",
    session_id="session_2",
)

Session 2 is a new conversation, but the agent remembers Sarah.

Choose What Gets Learned

For more control, configure stores individually:

from agno.learn import LearningMachine

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    learning=LearningMachine(
        user_profile=True,      # Structured facts (name, role, preferences)
        user_memory=True,       # Unstructured observations
        session_context=True,   # Session summary and goals
        entity_memory=False,    # Facts about external entities
        learned_knowledge=False # Insights across users (requires Knowledge)
    ),
)

See Learning Stores for details on each store.

Choose How Learning Happens

Each store can use a different learning mode:

from agno.learn import (
    LearningMachine,
    LearningMode,
    UserProfileConfig,
    UserMemoryConfig,
)

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    learning=LearningMachine(
        user_profile=UserProfileConfig(mode=LearningMode.ALWAYS),
        user_memory=UserMemoryConfig(mode=LearningMode.AGENTIC),
    ),
)

Mode	How it works
Always	Extraction runs automatically after each response
Agentic	Agent receives tools and decides what to save
Propose	Agent proposes learnings, you approve before saving

See Learning Modes for details.

Production Database

For production, use PostgreSQL:

from agno.db.postgres import PostgresDb

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

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    learning=True,
)

Next Steps

Learning Stores

Configure each store type

Learning Modes

Control how and when agents learn