agent-native-architecture

Agent-native architecture treats autonomous agents as first-class citizens in application design. You need it when building self-modifying systems or apps where features are achieved by agents operating in a continuous loop.

Design tools for autonomous agents by ensuring they are atomic, composable, and provide a wide range of capabilities. This tool design approach enables emergent capabilities within your agent-native architecture.

The core principles of agent-native application design are Parity, Granularity, Composability, Emergent Capability, and Improvement Over Time. These principles guide the creation of robust, context-aware autonomous systems.

Yes, agent-native architecture facilitates building self-modifying systems and automating workflows. Agents operate in loops to assist users in organizing files, managing reading lists, or executing automated tasks.

Start building an application with agents as first-class citizens by applying the framework's architecture patterns and five core principles. This provides the necessary structure for robust, emergent, and context-aware applications.

Autonomous agent systems lack emergent capability when tool design fails to be atomic and composable. Applying the core principles of agent-native architecture ensures robust, emergent, and context-aware application behavior.