Encryptum
  • Introduction
    • What is Encryptum?
    • Why Encryptum?
    • Mission & Vision
  • Core Concepts
    • Decentralized Storage
    • AI Memory
    • Encryption
    • Model Context Protocol (MCP)
  • The Encryptum Architecture
    • System Components
    • Data Lifecycle
    • Context Indexing Layer
    • AI Memory Manager
    • Data Access Gateway
    • Analytics and Telemetry Module
  • Tokenomics
    • Token Overview
    • Incentive Mechanisms
    • Token Distribution
    • Governance and Upgrade Layer (Future ENCT Utility)
  • Storage & Retrieval Process
    • Data Encryption
    • Integration with AI Memory and Context Management
    • Verification and Integrity Checks
    • Data Retrieval and Access Control
    • Metadata Registration via Smart Contracts
    • Uploading to IPFS Network
    • Generating Content Identifiers
    • Data Upload
    • Data Retrieval
  • Validation & Security
    • Validator Roles and Data Integrity
    • Proof of Storage and Access Control
    • Encryption and Privacy Protections
    • Incentive Structures and Network Resilience
  • Ecosystem & Partnerships
    • Ecosystem Overview
    • Strategic Partnerships
  • Real-World Use Case
    • Decentralized Storage
    • AI Agent Memory
    • Combined Intelligence & Storage
    • Frontier Use Cases
    • The Future
  • Roadmap
    • Q2 2025
    • Q3 2025
    • Q4 2025
    • 2026 and Beyond
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  • Q3 2025 — Enhanced AI Features, Access Control, and Ecosystem Expansion
  • 1. Advanced AI Memory Management
  • 2. Context Indexing Layer (Model Context Protocol Integration)
  • 3. Data Access Gateway (DAG) Launch
  • 4. Premium Subscription Launch (ENCT Token Utility Expansion)
  • 5. Expanded Storage Node Network
  • 6. Ecosystem Growth and Integrations
  • 7. Community Milestones
  1. Roadmap

Q3 2025

Q3 2025 — Enhanced AI Features, Access Control, and Ecosystem Expansion

1. Advanced AI Memory Management

Objective: Transition AI memory from beta to full-featured, customizable user control.

Key Enhancements:

  • User-Controlled Lifecycle Settings:

    • Define custom memory retention durations (e.g., 7, 30, 90, or unlimited days).

    • Attach expiration rules and auto-deletion triggers.

  • Timelines & Subscriptions:

    • Users can subscribe to specific memory timelines (e.g., “Trading,” “Work,” “Personal”) and toggle their active state.

    • Memory timelines tagged by topic, session, or context for advanced filtering.

  • Selective Memory Sharing:

    • Grant temporary or permanent access to specific memory threads.

    • Share AI memory with external agents or collaborators with permission granularity.

2. Context Indexing Layer (Model Context Protocol Integration)

Objective: Enable encrypted, intelligent context linking and retrieval for advanced AI workflows.

Key Features:

  • Metadata-Rich Memory Indexing:

    • Encryptum implements MCP (Model Context Protocol) to structure memory/data based on contextual tags (e.g., task type, time, AI model version).

  • Version Control & Memory Forking:

    • Support for memory versioning allows users or agents to fork and branch memories—ideal for training, simulation, or strategy testing.

  • AI Context Relevance Scoring:

    • A scoring algorithm ranks stored contexts based on task match, recency, and semantic alignment—streamlining recall and boosting AI efficiency.

3. Data Access Gateway (DAG) Launch

Objective: Provide secure, transparent, and programmable access to data and memory assets.

Core Components:

  • Authentication Framework:

    • OAuth-like flow using wallets or decentralized identity (DID) standards.

  • Smart Contract Access Rules:

    • Fine-grained policy controls on who can view, download, decrypt, or modify content.

    • Real-time permission checks integrated with CID-based data resolution.

  • Rate Limiting & Throttling:

    • Prevent abuse or spam attacks by enforcing user or agent-based quotas.

  • Compliance & Logging:

    • Create immutable logs of data access for auditing, transparency, and regulatory needs (e.g., GDPR-style data requests).

4. Premium Subscription Launch (ENCT Token Utility Expansion)

Objective: Drive economic sustainability while delivering enhanced features to power users.

Subscription Model:

  • ENCT-Powered Tiers:

    • Free Tier: Basic encrypted storage and 30-day memory.

    • Pro Tier: Priority access, longer memory timelines, extended AI session histories.

    • Enterprise Tier: Team collaboration features, on-premise node options, AI telemetry.

  • Token-Based Benefits:

    • ENCT staking unlocks discounts, early features, memory backup snapshots, or priority decryption.

  • Usage Analytics:

    • View AI usage stats, memory growth, retrieval patterns, and model inference logs.

5. Expanded Storage Node Network

Objective: Strengthen decentralization and storage resilience.

Network Expansion Plan:

  • Node Operator Grants:

    • Allocate ENCT rewards to early node operators who meet uptime and performance SLAs.

  • Decentralized Verification:

    • Introduce peer auditing mechanisms for verifying node reliability and data retention accuracy.

  • Storage Diversity:

    • Encourage regionally diverse nodes to ensure global access latency optimization.

  • Specialized Nodes:

    • Support “Memory Cache Nodes” for hot-storage of frequently accessed encrypted AI memories.

6. Ecosystem Growth and Integrations

Objective: Extend Encryptum’s reach through active collaboration and technology sharing.

Integration Milestones:

  • AI/ML Platforms:

    • Begin integrations with platforms like Hugging Face, LangChain, and AutoGPT for seamless AI memory workflows.

  • Blockchain Partnerships:

    • Pilot cross-chain access with chains like Avalanche, Cosmos, and Polkadot via bridges or interchain smart contracts.

  • Cloud and Edge Providers:

    • Launch hybrid storage pilot combining decentralized Encryptum nodes with AWS/GCP for failover and enterprise compliance.

  • Developer & Research Ecosystem:

    • Host Q3 Hackathon with bounties for AI agents using Encryptum memory.

    • Fund R&D grants to academia exploring decentralized knowledge graphs or zero-knowledge context sharing.

7. Community Milestones

Objective: Cement Encryptum’s position as an open, community-driven protocol.

Key Activities:

  • Core Contributor Program:

    • Recognize top developers, researchers, and evangelists with “Core Contributor” badges and recurring ENCT allocations.

  • Open Standard Contributions:

    • Propose MCP and DAG interfaces to W3C and other open-data forums as standards for decentralized AI data handling.

  • Public Dashboard Launch:

    • Release a live explorer for ENCT usage, memory counts, top node stats, access requests, and protocol health.

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