agent-native-architecture

Agent-native architecture is a design framework making agents first-class citizens in software. You need it when building autonomous systems, self-modifying applications, or workflows driven by agentic loops that require emergent capability and self-management.

Design tools for an autonomous agent system by applying principles of granularity and composability. Create primitive tools, ensure CRUD completeness, and handle dynamic capability discovery to maximize flexibility and emergent behavior within the agent-native framework.

Effective architectural patterns for self-modifying applications include event-driven agents, two-layer Git, multi-instance branching, and site-as-output. These patterns enable robust execution, autonomous branching, and continuous improvement over time.

Implement guardrails and testing for self-modifying agents by applying the framework's safety strategies. Establish robust testing protocols and essential guardrails specifically designed to control autonomous execution and prevent unintended modifications during agentic loops.

Yes, the framework explicitly supports leveraging files as a universal interface for agent execution. This approach allows autonomous agents to interact with diverse systems and manage dynamic capabilities through standardized file-based operations.

Prompt-native design in autonomous agent architectures requires balancing parity and emergent capability. Limitations arise without proper granularity and composability, potentially restricting dynamic capability discovery and the system's ability to safely self-modify over time.