Q3 2025

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

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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