SuperAPI AI Directory

bitatlas

Zero-knowledge cloud drive with client-side AES-256-GCM encryption: upload, download, search and organize files the server never sees in plaintext.

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About this tool

BitAtlas is a zero-knowledge cloud storage platform designed for both human users and AI agents, emphasizing privacy protection and agent-native support.

Purpose

BitAtlas is designed to provide a secure cloud storage and access environment for personal sensitive documents. It ensures through client-side encryption that the server cannot obtain plaintext data, while also providing controlled access capabilities for AI agents, enabling agents to assist in managing files under user authorization.

Main Capabilities

  • End-to-end encryption (AES-256-GCM): All files are encrypted at the browser or SDK layer before being uploaded, and the server does not come into contact with plaintext data or encryption keys.
  • Agent-native (MCP server): A built-in Model Context Protocol server supports AI agents such as Claude Desktop and OpenClaw in securely searching, reading, and managing vaults.
  • Personal vault: Provides dedicated storage space for critical documents such as identity documents, property deeds, medical records, and digital assets.
  • European data sovereignty: The infrastructure is hosted in Europe and is subject to privacy regulations such as the GDPR.
  • Pay-per-request (x402): Supports anonymous access, and agents can pay using the USDC stablecoin on the Base chain, with no account, API key, or KYC required. Files include a 30-day storage period, with paid renewal supported.

How to Use

To use BitAtlas with AI agents, the MCP server must be configured. The project structure includes:

  • mcp-server/: A Model Context Protocol server for integration with AI agents.
  • sdk/encryption/: The core encryption logic for client-side security.
  • LegacyShield (legacyshield.eu): The first production application built on BitAtlas, a digital legacy platform and encrypted document vault for humans and their descendants.

Use Cases

  • Secure cloud storage and access for personal sensitive documents.
  • Authorized AI agents assisting in searching, reading, and managing encrypted files.
  • Data storage needs that must comply with European privacy regulations.
  • Agent scenarios that wish to use storage services with anonymous pay-as-you-go payment.

Limitations

Details regarding specific pricing, storage capacity limits, supported file types, platform compatibility, and similar matters are not currently provided in the available information. The project uses the MIT license; for details, please refer to the LICENSE file.