agent-native-architecture

Agent-native architecture makes autonomous agents first-class citizens by using atomic tools and prompt-driven behavior. It enforces parity between UI actions and agent capabilities through small composable primitives, explicit completion signals, and a unified orchestrator.

Design tools for long-running autonomous agents by wiring a shared tool layer and a single context-aware orchestrator. Express behavior in dynamic prompts rather than hard-coded pipelines, using explicit completion signals to coordinate multi-agent workflows and self-modification.

Yes, prompt-driven behavior and MCP tools support self-modifying systems by applying a unified orchestrator and dynamic context prompts. This coordinates autonomous loops and enables system adaptation across mobile and desktop environments.

Parity-driven tool design ensures every user action has a corresponding agent capability to close action gaps. It is needed for agent-native apps because it enforces consistency between UI interactions and agent operations, allowing features to emerge from agent-driven loops.

Use primitives-first orchestration instead of hard-coded pipelines when building long-running autonomous agents or self-modifying systems. It allows you to build workflows using small, composable primitives and dynamic prompts, providing flexibility for multi-agent scenarios.

Yes, agent-native architecture works across both mobile and desktop environments. It uses a shared tool layer and explicit completion signals to ensure consistent agent capabilities and dynamic prompt behavior regardless of the platform.