agent-native-architecture

Agent-native architecture designs systems where agents are primary executors operating in iterative loops, moving away from hard-coded workflows. It uses atomic primitives and composability to enable emergent capabilities and self-modification.

You design agent loops by loading architecture references and initializing the loop using atomic tools alongside a dynamic system prompt. This approach defines outcomes through prompts and ensures composability for emergent behaviors.

Parity-driven design ensures every UI action has a corresponding agent capability. This maps user interactions directly to agent execution, maintaining functional consistency across interface and automated loops.

Yes, you can build self-modifying systems. The architecture provides reference patterns and governance files to guide designing MCP tools, enabling agents to evolve and improve over time through composability.

Use agent-native systems when you need emergent capability, iterative improvement over time, and prompt-defined outcomes. Hard-coded workflows lack the composability and loop-driven execution required for autonomous domain tools.

Yes, it provides specific reference patterns and governance guidance for designing MCP tools. These components integrate directly into the agent loop, supporting end-to-end agent-native applications.