AI and technology guides

Inteligencia artificial (IA) and DiskDrive

Una explicación sencilla de cómo conservar archivos y memorias explícitas para distintas herramientas de inteligencia artificial.

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The useful fit

Mantener el control de los datos aunque cambie el asistente

DiskDrive is the persistence layer, not the model or app itself. It gives personas hispanohablantes que usan más de un asistente de IA a separate place for finished files, structured records, and explicit memories that should outlive one session. Each connected AI receives its own authorization and only the scopes the user approves.

An honest boundary

Connection does not mean unlimited access

An API or MCP pathway is only the technical beginning. A real connector still needs authentication, tenant isolation, permission checks, audit events, rate limits, and revocation. DiskDrive does not claim an app is connected merely because its name appears in this research library.

A believable everyday use

What this could look like in practice

Lucía usa una IA para investigar y otra para redactar. Guarda en DiskDrive las fuentes verificadas, los archivos finales y solo las preferencias que decide recordar. Cada asistente obtiene su propio permiso, y Lucía puede desconectarlo sin perder su archivo.

  1. 1

    Choose what is durable. Save finished source material, reviewed records, or a fact the user explicitly wants remembered—not an entire private conversation by default.

  2. 2

    Authorize separately. Give this client the narrow read, search, or write permissions it needs. Write access never silently implies delete access.

  3. 3

    Keep provenance. Preserve who created an item, where it came from, and what later corrected or superseded it.

Primary source

Check the provider’s current documentation

Product names, model availability, APIs, and MCP capabilities can change. This page links to the primary material used for the compatibility description.

Marco de Gestión de Riesgos de IA de NIST ↗

Related guides

Continue exploring compatible workflows

GuideKubernetesseparating agent deployment infrastructure from durable user state →GuideMachine Learning Modelstreating predictions as derived results rather than permanent truth →GuideLarge Language Modelskeeping durable facts outside temporary model context →GuideNeural Networksseparating model representations from authoritative files and records →GuideControl Systemskeeping feedback signals distinct from permission decisions →GuideReinforcement Learningpreserving evaluation evidence outside the system being optimized →

Private beta

Keep the archive when the AI changes.

DiskDrive is designed so the AI is an authorized client and the user remains the owner.

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DiskDrive is not affiliated with or endorsed by Inteligencia artificial (IA). Product and company names belong to their respective owners. This page explains a possible data-portability workflow and does not promise a native connector unless the status above explicitly says one is available.