This page is under construction. Check back soon for detailed documentation on creating custom storages.Documentation Index
Fetch the complete documentation index at: https://docs.laragent.ai/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Custom storages allow you to persist any structured data within your agent’s context — customer notes, conversation tags, session metadata, and more.Key Concepts
- DataModel — Typed data classes that define your storage items
- DataModelArray — Collections of DataModels with filtering and transformation methods
- Storage — Abstract base class handling persistence, lazy loading, and dirty tracking
Coming Soon
- Creating a DataModel for your storage items
- Extending the Storage abstract class
- Registering custom storages with the Context
- Querying and filtering stored data