Postgres for Agent

Agno supports using PostgreSQL as a storage backend for Agents using the PostgresDb class.

Usage

Install dependencies:

uv pip install agno openai ddgs sqlalchemy psycopg

Run PgVector

Install docker desktop and run PgVector on port 5532 using:

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql \
  -v pgvolume:/var/lib/postgresql \
  -p 5532:5432 \
  --name pgvector \
  agnohq/pgvector:18

postgres_for_agent.py

"""Use Postgres as the database for an agent.

Run `uv pip install openai ddgs sqlalchemy psycopg` to install dependencies."""

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.tools.websearch import WebSearchTools

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

db = PostgresDb(db_url=db_url)

agent = Agent(
    db=db,
    tools=[WebSearchTools()],
    add_history_to_context=True,
)
agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")

Params

Parameter	Type	Default	Description
id	Optional[str]	-	The ID of the database instance. UUID by default.
db_url	Optional[str]	-	The database URL to connect to.
db_engine	Optional[Engine]	-	The SQLAlchemy database engine to use.
db_schema	Optional[str]	-	The database schema to use.
session_table	Optional[str]	-	Name of the table to store Agent, Team and Workflow sessions.
memory_table	Optional[str]	-	Name of the table to store memories.
metrics_table	Optional[str]	-	Name of the table to store metrics.
eval_table	Optional[str]	-	Name of the table to store evaluation runs data.
knowledge_table	Optional[str]	-	Name of the table to store knowledge content.
culture_table	Optional[str]	-	Name of the table to store cultural knowledge.
traces_table	Optional[str]	-	Name of the table to store traces.
spans_table	Optional[str]	-	Name of the table to store spans.
versions_table	Optional[str]	-	Name of the table to store schema versions.
components_table	Optional[str]	-	Name of the table to store components.
component_configs_table	Optional[str]	-	Name of the table to store component configurations.
component_links_table	Optional[str]	-	Name of the table to store links between components.
learnings_table	Optional[str]	-	Name of the table to store learnings.
schedules_table	Optional[str]	-	Name of the table to store cron schedules.
schedule_runs_table	Optional[str]	-	Name of the table to store schedule run history.
approvals_table	Optional[str]	-	Name of the table to store human approval requests.
auth_tokens_table	Optional[str]	-	Name of the table to store OAuth tokens for external services.
service_accounts_table	Optional[str]	-	Name of the table to store service accounts.
mcp_oauth_clients_table	Optional[str]	-	Name of the table to store MCP OAuth client registrations.
mcp_oauth_transactions_table	Optional[str]	-	Name of the table to store MCP OAuth transactions.
mcp_oauth_codes_table	Optional[str]	-	Name of the table to store MCP OAuth authorization codes.
mcp_oauth_refresh_tokens_table	Optional[str]	-	Name of the table to store MCP OAuth refresh tokens.
mcp_oauth_keys_table	Optional[str]	-	Name of the table to store MCP OAuth signing keys.
create_schema	bool	True	Whether to create the database schema if it doesn't exist. Set to False when the schema is managed externally.