Direct Answer
Agent-as-cell architecture treats each AI agent as a bounded digital cell with identity, capabilities, telemetry, policy constraints, and lifecycle controls. Cells coordinate into tissues, organs, and complete digital organisms so complex autonomous systems can be governed and observed.
FAQs
Why model agents as cells?
The cell model gives autonomous agents explicit boundaries, interfaces, lifecycle state, monitoring, and policy controls, making larger multi-agent systems easier to reason about.
How does this help regulated organizations?
It creates clearer control surfaces for audit, observability, access policy, fault isolation, and compliance review.