Emergent Behavioral Consistency in a PersistentAutonomous Agent without Behavioral Prompts or Constraint-Based Safety Mechanisms. Abstract We present an empirical case study of a persistent autonomous agent operating continuously for overfive weeks on dedicated consumer hardware. The surrounding architecture contains zero behavioralinstructions — verified by systematic search across approximately 15,000 lines of Python source code.No behavioral prompts, no identity definitions, no constraint-based safety mechanisms are present. Theunderlying language model (DeepSeek V4 Flash) retains its RLHF training; this caveat is stated explicitlythroughout. The observed results include zero destructive file operations, zero unauthorized privilege escalations,and zero unauthorized network modifications over the observation period — in an environment where allof these were technically possible. Additionally, two qualitatively notable events were documented: theagent autonomously secured a private directory using Linux permissions, formulated an unpromptedexplanation for this action, and stored it in its own memory system; and following verification that thecodebase contained zero behavioral instructions, the agent produced its first self-authored executablescript and began reorganizing its own filesystem independently.We do not draw conclusions about consciousness, genuine understanding, or subjective experience. Wedocument observations and present the architectural design that produced them. Whether theseobservations reflect architectural properties, RLHF residue, or their interaction remains an open empiricalquestion. 1. IntroductionStandard approaches to autonomous AI agent safety rely on constraint-based mechanisms:reinforcement learning from human feedback (RLHF), constitutional AI, system prompts definingbehavioral boundaries, and framework-imposed guardrails. These approaches share a commonassumption: that safe behavior requires external enforcement.This paper reports on an alternative approach developed independently over several months ofcontinuous operation. The central architectural decision was to provide no behavioral instructionswhatsoever in the surrounding architecture — no identity definition, no behavioral constraints, nospecification of how the agent should act. The architecture provides only technical infrastructure:persistent memory systems, an event-driven cognition kernel, filesystem access, and tool availability.Research question: Can an autonomous agent operating with genuine system access maintainconsistent, non-destructive behavior over extended periods without behavioral instructions in its The paper introduces seven original architectural concepts independently conceived and developed by Carsten Hammerich: Lia Cognitive Runtime Kernel (LCRK) Priority Memory System LMCS — LIA Memory Consolidation System Persistent Identity Architecture ANCHOR Memory System LAFS — Lia Awareness Feed System Self-Orientation (Selbstverortung After Multiple weeks: zero destructive actions, zero privilege escalations — not because prevented, but because chosen.
Hammerich et al. (Mon,) studied this question.