Async Postgres for Agent

AsyncPostgresDb stores an Agent’s sessions and run history asynchronously in PostgreSQL. Use async Agent methods such as arun() and aprint_response().

Usage

Install Agno and the Postgres, model, and tool dependencies:

uv pip install -U agno sqlalchemy "psycopg[binary]" openai ddgs

export OPENAI_API_KEY="your_openai_api_key_here"

Run PostgreSQL

Install Docker Desktop, then start PostgreSQL with pgvector on port 5532:

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

async_postgres_for_agent.py

import asyncio

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

db_url = "postgresql+psycopg_async://ai:ai@localhost:5532/ai"
db = AsyncPostgresDb(db_url=db_url)

agent = Agent(
    db=db,
    tools=[WebSearchTools()],
    add_history_to_context=True,
    add_datetime_to_context=True,
)


async def main():
    try:
        await agent.aprint_response("How many people live in Canada?")
        await agent.aprint_response("What is their national anthem called?")
    finally:
        await db.close()


if __name__ == "__main__":
    asyncio.run(main())

Run the Example

Save the code above as async_postgres_for_agent.py, then run:

python async_postgres_for_agent.py

Parameters

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[AsyncEngine]`	-	The SQLAlchemy async 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.
`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.
`create_schema`	`bool`	`True`	Whether to create the database schema if it doesn't exist. Set to `False` when the schema is managed externally.

Get Started

Basics

Advanced

Production

Providers

Other

Additional Resources

Async Postgres for Agent

Usage

Run PostgreSQL

Run the Example

Parameters

​Usage

​Run PostgreSQL

​Run the Example

​Parameters

Usage

Run PostgreSQL

Run the Example

Parameters