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.
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
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
Model-Agnostic Compatibility
Claude, GPT, Mistral, or open-source models supported
One memory backend — many model frontends
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
Last updated