> For the complete documentation index, see [llms.txt](https://docs.rememberizer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rememberizer.ai/it/risorse-aggiuntive/releases/2024-releases/jan-15th-2024.md).

# 15 Gennaio 2024

## Nuove funzionalità

* **Ricerca di documenti**: Trova facilmente i tuoi documenti con la nostra efficace funzione di ricerca.
* **Integrazione con Google Drive**: Gestisci i tuoi file in modo fluido tramite Google Drive.
* **Hub per sviluppatori**: uno spazio user-friendly per gli sviluppatori per registrare e configurare facilmente le loro applicazioni per l'integrazione con Rememberizer.
* **Gestione dei Memento**: Crea, elenca e cancella facilmente i tuoi memento.
* **Gestione delle fonti di dati**: Collega e disconnetti facilmente la tua fonte di dati.
* **Onboarding semplice**: La nostra funzionalità di stato di onboarding è progettata per un inizio fluido per tutti gli utenti e gli svillopatori.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.rememberizer.ai/it/risorse-aggiuntive/releases/2024-releases/jan-15th-2024.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
