Mémoire provides a private, automatically synced library that aggregates a user’s digital traces—from hundreds of apps to uploaded files—and makes this personal context available to any AI assistant.
Funding
Funding not disclosed
Founders
Product
Problem
Users interact with multiple AI assistants but must repeatedly provide personal information because each AI lacks access to their existing digital context, leading to fragmented, generic responses and wasted time.
Solution
Mémoire aggregates a user’s digital traces—from hundreds of connected apps and uploaded files—into a private, continuously synced library that the user owns. The platform makes this personal context available to any AI assistant via secure, permission‑based integration, enabling the AI to generate responses that reflect the user’s history, preferences, and real‑time data without repeated data entry. End‑to‑end encryption protects the data, while granular controls let users grant or revoke access for each source and each AI, and they can export or delete their library at any time.
Target Audience
Primary customers are individual users of AI assistants—such as productivity, travel, health, and entertainment bots—who want personalized, context‑aware interactions without repeatedly re‑entering personal data.
Features
- Automatic syncing of data from 100+ supported apps and user uploads, keeping the library continuously up to date
- End‑to‑end encryption of data at rest and in transit; the service cannot read user content
- Granular permission management for each data source and each connected AI, with instant revocation capability
- Portable library model that works with any AI assistant, allowing users to switch or use multiple AIs without losing context
- Full data export and account deletion tools, ensuring no vendor lock‑in
- No data resale, advertising, or model training on user information