SysteMind Research
We explore the foundations of AI agent systems, from the control layer that governs delegation to the memory and security models that make agents reliable in production.
Agent security
How agents authenticate, act safely, and preserve trust across organizations.
Multi-agent coordination
Protocols for planning, handoffs, and shared execution between specialized agents.
Access-aware memory
Memory systems that preserve useful context while respecting permissions and scope.
Delegation protocols
Structured ways for people and agents to assign work, review outputs, and keep decisions auditable.