Agentic Architecture: The Nervous System of Autonomy

The Interoperability Crisis

Enterprise AI is currently suffering from a 'walled garden' problem. Agents built on different frameworks cannot communicate, share tools, or hand off tasks. To solve this, Kendra Labs advocates for an architecture based on the Model Context Protocol (MCP).

The Three-Layer Stack

We architect agentic systems across three distinct planes:

• The Execution Plane: High-performance runtimes optimized for agent logic.
• The Communication Plane: An event-driven backbone that allows agents to operate asynchronously.
• The Control Plane: Centralized registries for agent identity, capability discovery, and governance.

Event-Driven Autonomy

Unlike linear scripts, our Agentic Mesh uses a publish-subscribe model. An agent wakes up when a relevant event occurs, performs its reasoning, and publishes its output, triggering the next agent in the ecosystem. This decoupling ensures that your system is resilient, observable, and infinitely scalable.