langgraph-store-dynamodb 0.1.2

DynamoDB dtore for LangGraph

LangGraph DynamoDB Store

A DynamoDB-based store implementation for LangGraph that allows long term memory implementation.

This implements both sync and async methods for BaseStore

bash pip install langgraph-store-dynamodb

Usage

Basic Initialization

python from langgraph_store_dynamodb import DynamoDBStore

Initialize the store with a table name

store = DynamoDBStore( table_name="your-dynamodb-table-name", max_read_request_units=10, # Optional, default is 10 max_write_request_units=10 # Optional, default is 10 )

Alternative Initialization Using Context Manager

from langgraph_dynamodb_checkpoint import DynamoDBStore

with DynamoDBStore.from_conn_info(table_name="your-dynamodb-table-name") as store:
    # Use the store here

Parameters

DynamoDBStore Constructor

• table_name (str): Name of the DynamoDB table to use for storing checkpoints
• max_read_request_units (int, optional): Maximum read request units for the DynamoDB table. Defaults to 10
• max_write_request_units (int, optional): Maximum write request units for the DynamoDB table. Defaults to 10

Table Structure

The store automatically creates a DynamoDB table if it doesn't exist, with the following structure:

• Partition Key (PK): String type, used for namespace
• Sort Key (SK): String type, used for memory key

AWS Configuration

Ensure you have proper AWS credentials configured either through:

• Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
• AWS credentials file (~/.aws/credentials)
• IAM role when running on AWS services

The AWS credentials should have permissions to:

• Create DynamoDB tables (if table doesn't exist)
• Read and write to DynamoDB tables

Notes

• The store automatically creates the DynamoDB table if it doesn't exist
• Uses on-demand billing mode for DynamoDB
• Implements methods required by the LangGraph BaseStore interface