agent-native-architecture

Agent-native architecture is a design pattern where agents operate as first-class citizens in iterative loops using atomic tools. It enables autonomous software through persistent context, self-modification, and explicit completion signaling until desired outcomes are reached.

Design atomic tools that adhere to the parity principle, ensuring agents can perform any action users can through the UI. Build primitive CRUD-like tools that operate in looping cycles to enable emergent behavior in complex tasks.

Agents fail without loop-based execution and explicit completion signaling. Agent-native architecture solves this by operating agents in iterative cycles with atomic tools and dynamic context, ensuring they persist until outcomes are reached.

The best way is using an architecture pattern that provides safe self-modification with guardrails. Combine dynamic context management with atomic tool design to allow controlled iterative modifications within secure boundaries.

No specific dependencies are required to implement agent-native architecture. The design relies on architectural patterns for loop-based execution, atomic tool composability, and dynamic context management rather than external frameworks or platforms.

Looping agent architecture should be avoided when tasks are simple linear transactions that do not require persistent context, emergent behavior, or tool orchestration. It is suited for complex tasks needing iterative cycles and self-modification.