De Superficie Terminorum: A Native Workstation Surface for Governed Agentic Execution

De Superficie Terminorum: A Native Workstation Surface for Governed Agentic Execution presents TERMINUS, a native workstation and terminal interface designed to manage command state, console state, operator actions, execution sessions, memory candidates, registry entries, and artifact bindings within governed human-AI systems. The paper starts with a real-world problem: modern agentic systems can write files, inspect repositories, run tests, call tools, operate shells, and coordinate multi-step tasks, but their execution state is often fragmented across chat logs, terminal scrollback, hidden logs, local files, and unstructured runtime side effects. This leaves a gap between capability and accountability. A system might perform well in the moment yet leave no lasting operational footprint: no clear command history, session lineage, risk classification, artifact boundaries, memory choices, or registry-level account of events. TERMINUS is positioned as the missing workstation layer. It’s not a chatbot, a generic dashboard, or just a terminal emulator—it’s the internal operational surface where execution becomes transparent. Commands are treated as events with an actor, intent, risk level, approval status, results, output streams, artifact outcomes, and potential memory value. Sessions are seen as resumable operational spaces with context, working directory, environment, history, unresolved items, and downstream records. Console output is treated as meaningful material that may stay ephemeral, become evidence, be stored as an artifact, or be flagged as a memory candidate depending on its classification. A key design principle is that TERMINUS serves as a support layer, not a primary voice. In the Alpha-native model, AURO remains the final speaking intelligence—the layer responsible for synthesis, expression, and voice.