ACLiiin

ACLiiin, short for All-Context Layered Interface for Intelligent Networks, is a theoretical framework in computer science intended to enable interoperable AI-driven services across heterogeneous computing environments. The framework proposes a standardized, policy-driven interface that decouples application logic from underlying infrastructure, facilitating secure and scalable communication among diverse systems.

Its architecture is described as layered, with a core protocol layer responsible for message routing and data representation, a policy and identity layer for access control and provenance, and an adapter layer that bridges applications to native platforms. The model emphasizes context propagation, event-driven communication, and immutable message traces to support reproducibility and auditing.

Interoperability efforts around ACLiiin are currently experimental. Researchers describe prototype implementations that run atop service meshes, API gateways, or microservice runtimes, using semi-structured data models and pluggable adapters to connect heterogeneous environments. No single implementation is widely standardized.

Potential applications include cross-domain AI service orchestration in multi-cloud environments, coordinated robotics and Internet of Things networks, and research platforms requiring portable AI workloads across different hardware and software stacks.

Status and governance: ACLiiin remains a topic of academic discussion and industry pilots rather than a formal standard. Critics point to fragmentation in data models and identity mechanisms, while proponents argue that a common interface could reduce integration cost and improve portability. Related topics include AI interoperability, middleware, and service meshes.