Introduction

The exponential growth of data driven by artificial intelligence, autonomous agents, and distributed applications has created new demands for storage infrastructure. Traditional systems that are centralized, permissioned, and vulnerable to failures are no longer capable of meeting the requirements of modern intelligent systems or decentralized platforms.

Encryptum is a decentralized, encrypted storage protocol built for the future of AI and beyond. It enables secure, verifiable, and censorship-resistant data storage using content-addressable systems and global peer-to-peer networks. While Encryptum is purpose-built for AI-native agents operating under the Model Context Protocol (MCP), its applications extend broadly to any system or user seeking resilient, decentralized storage.

At its core, Encryptum allows users and agents to transform raw data into encrypted content identifiers (CIDs), which are then stored across decentralized networks such as IPFS. This process ensures that data is immutable, verifiable, and accessible without reliance on a centralized host. Whether the data originates from an AI agent, a user-facing application, or a backend process, Encryptum provides a secure pipeline for encrypting, indexing, and persisting that data on decentralized infrastructure.

Encryptum goes beyond conventional storage solutions by treating context as a primary element of data architecture. Through deep integration with MCP, it allows intelligent agents to store and retrieve contextual information programmatically, enabling them to operate autonomously across sessions, environments, and platforms. At the same time, developers and users can utilize Encryptum simply as a robust encrypted layer for storing files, structured data, and records directly on IPFS.

The key principles behind Encryptum include:

• Decentralized and encrypted by default, meaning all data is encrypted before storage and distributed across peer-to-peer networks

• Verifiable storage with content identifiers that are cryptographically derived, enabling data integrity and auditability

• Context-aware design optimized for machine-native workflows that rely on persistent memory and contextual data

• General-purpose IPFS integration that supports direct usage as a decentralized encrypted storage backend for a wide range of applications

This documentation introduces the architecture, functionality, and integration capabilities of Encryptum. Whether you are building intelligent agents, decentralized applications, or simply seeking a secure way to store data on IPFS, Encryptum offers a flexible and future-ready solution.

Encryptum is not just a protocol. It represents a foundational shift in how we manage and store data in a decentralized world.