Layer 1 — PASR Local Runtime
Gate proposed interventions and create evidence.
- gate
- evidence / readout
- event store
- geometry snapshot
- readout memory
- Docker memory-loop evaluation
PASR Local · architecture
PASR is a white-box governance runtime for proposed interventions.
PASR sits between an AI agent, operator, simulator, workflow, or actuator-related proposal and the downstream system that could be affected. It checks whether a proposed intervention should proceed, records a bounded decision, reconstructs the shape of repeated decisions, and exports safe evidence.
PASR does not control actuators. PASR governs whether a proposed actuator-related intervention is allowed to proceed toward the manufacturer's control plane.
proposed intervention → gate / evidence → bounded decision event → append-only local memory → geometry snapshot → resonance recall → intervention_memory readout → safe export
Gate proposed interventions and create evidence.
Private geometric memory / projection / resonance system.
Safe projections for humans and systems.
The export is not the memory engine; it is a safe projection of what the memory engine knows.
An allowlist says whether an action is permitted by policy. PASR records and reconstructs what happens across repeated intervention decisions:
Recall adds context, review, or block hints. It does not silently bypass PASR gates.
PASR does not replace robot controllers, firmware logs, ROS/ROS2 logs, diagnostics, or safety systems. It can add a governance event layer before proposed interventions reach the control plane.
What a single gate / readout artifact looks like.
What the memory-loop readout and exports look like.
The opt-in Docker memory-loop evaluation is available for technical review. PASR Local Evaluation Pack is delivered manually by request while the product is in early evaluation.