SQLite
SQLite requires no server setup and stores data in a local file. It is built into Python, and available in TypeScript via better-sqlite3.
Install
Install
pip install memori openai
# SQLite is built into Python — no extra driver needed.
Quick Start
SQLite Connection
from memori import Memori
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
engine = create_engine("sqlite:///memori.db")
SessionLocal = sessionmaker(bind=engine)
mem = Memori(conn=SessionLocal)
mem.config.storage.build()
Connection Strings (Python)
| Path Type | Connection String | Description |
|---|---|---|
| Relative | sqlite:///memori.db | File in current directory |
| Absolute | sqlite:////home/user/data/memori.db | Absolute path (four slashes) |
| In-Memory | sqlite:///:memory: | Temporary, lost on exit |
Complete Example
Complete Example
import os
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from memori import Memori
from openai import OpenAI
engine = create_engine("sqlite:///memori.db")
SessionLocal = sessionmaker(bind=engine)
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
mem = Memori(conn=SessionLocal).llm.register(client)
mem.attribution(entity_id="user_123", process_id="my_agent")
mem.config.storage.build()
response = client.chat.completions.create(
model="gpt-4.1-mini",
messages=[{"role": "user", "content": "My favorite language is Python."}]
)
print(response.choices[0].message.content)
mem.augmentation.wait()
facts = mem.recall("favorite programming language")
print(facts)
Multi-Threading (Python)
For web servers or multi-threaded apps, disable the same-thread check:
engine = create_engine(
"sqlite:///memori.db",
connect_args={"check_same_thread": False}
)
Notes (TypeScript)
better-sqlite3runs synchronously, which perfectly matches Memori's low-latency design — no async overhead for local storage.- Pass a factory function:
conn: () => db. Memori calls it once to borrow the database. You own the lifecycle — calldb.close()yourself when you're done. - Set
OPENAI_API_KEYin your.envfile.