Architecture

How ADAM is built.

ADAM is organized around an inspectable cognitive field, runtime attractors, safety arbitration, and replayable state transitions. This page presents the system at the level needed to understand the public research program.

Field

Compact runtime state

The field is the measurable surface where semantic input, memory, and control pressure interact.

Attractors

Durable structures

Attractors bias future trajectories and provide units for inspection and comparison.

Control

Safety arbitration

Safety behavior is treated as a runtime signal that can be measured separately from generation.

Public Architecture Standard

The runtime is treated as the object of study.

ADAM separates language generation from the cognitive state that conditions it. The public architecture notes will focus on externally observable mechanisms: how input enters the field, how attractors shape future trajectories, how safety pressure is represented, and how state can be revisited for audit.

Boundary Language model as substrate, runtime as experiment

The model provides language capability; the runtime supplies measurable cognitive dynamics.

Inspection State must be visible outside hidden weights

Attractors, field values, safety signals, and replay deltas are treated as auditable objects.