Documentation Index
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Storage backends persist agent sessions, chat history, and state. Use any database that fits your infrastructure.
from agno.agent import Agent
from agno.db.postgres import PostgresDb
agent = Agent(
db=PostgresDb(db_url="postgresql://ai:ai@localhost:5532/ai"),
add_history_to_context=True,
)
agent.print_response("Hello!")
# Chat history persists across sessions
agent.print_response("What did I just say?")
Supported Databases
| Database | Import | Best For |
|---|
| PostgreSQL | from agno.db.postgres import PostgresDb | Production, teams |
| SQLite | from agno.db.sqlite import SqliteDb | Local development |
| MongoDB | from agno.db.mongodb import MongoDb | Document stores |
| Redis | from agno.db.redis import RedisDb | Caching, speed |
| DynamoDB | from agno.db.dynamodb import DynamoDb | AWS serverless |
| Firestore | from agno.db.firestore import FirestoreDb | GCP serverless |
| MySQL | from agno.db.mysql import MysqlDb | MySQL users |
| SingleStore | from agno.db.singlestore import SingleStoreDb | Real-time |
| SurrealDB | from agno.db.surrealdb import SurrealDb | Multi-model |
| GCS | from agno.db.gcs import GCSDb | Cloud storage |
| JSON | from agno.db.json import JsonDb | Simple files |
| In-Memory | from agno.db.memory import InMemoryDb | Testing |
Examples by Database
PostgreSQL
Production-ready persistence.
cookbook/06_storage/postgres/postgres_for_agent.py
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.tools.duckduckgo import DuckDuckGoTools
db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")
agent = Agent(
db=db,
tools=[DuckDuckGoTools()],
add_history_to_context=True,
)
agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")
SQLite
Simple local persistence.
cookbook/06_storage/sqlite/sqlite_for_agent.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
agent = Agent(
db=SqliteDb(db_file="agent.db"),
add_history_to_context=True,
)
agent.print_response("Remember: My favorite color is blue")
agent.print_response("What is my favorite color?")
MongoDB
Document-based storage.
cookbook/06_storage/mongo/mongodb_for_agent.py
from agno.agent import Agent
from agno.db.mongodb import MongoDb
agent = Agent(
db=MongoDb(
uri="mongodb://localhost:27017",
database="agno",
collection="agents",
),
add_history_to_context=True,
)
Redis
High-speed caching.
cookbook/06_storage/redis/redis_for_agent.py
from agno.agent import Agent
from agno.db.redis import RedisDb
agent = Agent(
db=RedisDb(url="redis://localhost:6379"),
add_history_to_context=True,
)
DynamoDB
AWS serverless storage.
cookbook/06_storage/dynamodb/dynamo_for_agent.py
from agno.agent import Agent
from agno.db.dynamodb import DynamoDb
agent = Agent(
db=DynamoDb(
table_name="agno-agents",
region="us-east-1",
),
add_history_to_context=True,
)
Firestore
GCP serverless storage.
cookbook/06_storage/firestore/firestore_for_agent.py
from agno.agent import Agent
from agno.db.firestore import FirestoreDb
agent = Agent(
db=FirestoreDb(
project_id="your-project",
collection="agents",
),
add_history_to_context=True,
)
In-Memory
For testing and development.
cookbook/06_storage/in_memory/in_memory_storage_for_agent.py
from agno.agent import Agent
from agno.db.memory import InMemoryDb
agent = Agent(
db=InMemoryDb(),
add_history_to_context=True,
)
Storage for Teams and Workflows
Storage works the same way for teams and workflows.
Team Storage
cookbook/06_storage/postgres/postgres_for_team.py
from agno.team import Team
from agno.db.postgres import PostgresDb
team = Team(
agents=[...],
db=PostgresDb(db_url="postgresql://..."),
)
Workflow Storage
cookbook/06_storage/postgres/postgres_for_workflow.py
from agno.workflow import Workflow
from agno.db.postgres import PostgresDb
workflow = Workflow(
db=PostgresDb(db_url="postgresql://..."),
)
Run Examples
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/06_storage
# PostgreSQL
python postgres/postgres_for_agent.py
# SQLite (no deps)
python sqlite/sqlite_for_agent.py
# In-Memory (no deps)
python in_memory/in_memory_storage_for_agent.py