AI Twin

Paid

★ 43 • Updated Sep 18, 2026, 09:12 AM

AI Twin is a paid, private personal AI memory layer designed to store and organise information from a user's life and practice.

Use Cases ▼

Store personal documents, PDFs, and letters as typed, searchable memory

Forward emails to a smart inbox to turn them into structured memory

Import WhatsApp chat exports and social data exports for later recall

Ask an AI assistant to retrieve facts, people, events, and documents from a governed memory layer

Maintain separate personal and business workspaces with scoped access

Use voice notes, photos, and screenshots as inputs for memory capture

Export or delete memory at any time while switching between AI models

Run a Daily Brief or tidy memory tasks to keep personal knowledge organised

What Problem It Solves ▼

Personal knowledge is scattered across documents, messages, inboxes, photos, and voice notes, and most AI assistants retain memory only inside their own product. AI Twin addresses this by providing a private, model-agnostic memory layer where users can store and type what matters, then retrieve it through the AI assistant they choose without being locked to one vendor or losing context when they switch models.

Key Features ▼

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Model-agnostic memory layer lets users swap AI assistants without losing stored context

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Typed memory entities and hybrid retrieval support both precise lookup and fuzzy recall

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Privacy-focused controls include row-level isolation, append-only audit log, export and delete options

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Accepts diverse inputs such as documents, photos, voice notes, email, and chat exports

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Separate personal and business workspaces with scoped viewer access

Overview

AI Twin is a paid, private personal AI memory layer designed to store and organise information from a user's life and practice. According to its homepage, users can bring documents and PDFs, photos and screenshots, voice notes, typed notes, forwarded email, onboarding answers, WhatsApp chat exports, and social data exports. AI Twin types and logs this material, keeping it in the [ADDRESS] and EU, and states that nothing reaches into user accounts without consent.

Full Description ▼

The service is positioned as model-agnostic: it sits above AI assistants such as Claude, ChatGPT, Gemini, or a local model. Users can keep their memory in AI Twin and connect the assistant they already use, so that changing the underlying model does not mean losing the memory. It supports hybrid retrieval combining typed lookup for precise facts with vector search for fuzzier recall, and organises memory entities into categories including People, Documents, Facts, Events, and Episodes.

AI Twin emphasises privacy and control. It describes row-level isolation at the database, an append-only audit log, storage in the [ADDRESS] and EU, export and delete options, and a policy of not selling data or training on it without consent. Captures wait for user confirmation, and wider integrations roll out behind explicit consent. The product is not always-on and captures only what the user asks it to capture.

The tool also includes workspaces for personal and business scopes, smart tasks such as Daily Brief, a smart inbox for forwarding email to inbox.ai-twin.app, and support for more than 100 languages. It is available as a paid SaaS product with an on-device demo for memory ranking.