Q3 2025

Privacy Layer, Model Flexibility & Multi-Agent Collaboration (MCP v2)


Goal: Introduce privacy tools, model-agnostic memory access, and collaborative workflows between AI agents.

  1. Privacy & Compliance

    • ZK Memory Proofs — verify memory access without exposing content

    • Auditable memory logs for regulated domains like finance and healthcare

    • Default encryption for sensitive memory segments

  2. Multi-Agent Memory Sharing

    • Agent-to-Agent (A2A) Memory Protocol

    • Allow agents to pass memory contexts securely with user permission

    • Use case: task delegation chains, multi-agent AI apps

  3. Model-Agnostic Compatibility

    • Claude, GPT, Mistral, or open-source models supported

    • One memory backend — many model frontends

  4. Role-Based Access & DID Login

    • DID-compatible identity support

    • Granular permissions across agent groups, apps, and dashboards

Real Use Cases:

  • Therapist AI shares encrypted notes with a health compliance assistant

  • Company AI assistants collaborate with memory-sharing handoffs

  • Developer teams share project context across design + support agents

  • Legal AI references earlier judgments in ongoing workflows

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